Parametric system simulation device

Abstract

We provide a parametric system simulation device. [Solution] The parametric system simulation apparatus (100) according to the present invention comprises a structural enclosure (102). A parameter input device (104) having a user-operable input device receives numerical parameter values ​​representing baseline indicators related to interacting entities of the simulated system. A signal acquisition interface (106) converts the received parameter values ​​into electrical parameter signals and transmits them via a data communication bus to a parameter storage assembly consisting of a non-volatile memory structure. A signal routing assembly (110) including a selectable switching arrangement activates one of a plurality of stored interaction model structures representing alternative functional relationships between electrical parameter signals. A signal processing assembly (112) consisting of interconnected processing circuits converts the electrical parameter signals and generates state signals representing the equilibrium state between the simulated subsystems.

Description

Technical Field

[0001] The present invention relates to the field of computational simulation systems and interactive analysis devices for constructing macroeconomic system modeling. More specifically, it relates to a computer simulator device configured to generate a quantitative representation of the macroeconomic equilibrium state of a national economy through controlled parameter input, structural economic modeling, and visualization of equilibrium states.

Background Art

[0002] Macroeconomic analysis studies the relationships between large-scale economic indicators such as gross domestic product, employment, inflation, investment, government spending, and money supply. These relationships are usually described through mathematical models that represent the interactions between multiple economic agents operating in various markets such as the goods market, labor market, financial market, and foreign exchange market. Due to the complexity of these interactions, analytical evaluation becomes difficult when using conventional static teaching materials and isolated theoretical calculations.

[0003] Traditional teaching methods in macroeconomics rely heavily on concept maps, theoretical explanations, and static mathematical models. While these methods provide conceptual understanding, they often fail to adequately show the dynamic interactions between economic variables and the chain effects that occur when policy parameters change. As a result, learners may have difficulty understanding the practical implications of macroeconomic policy decisions.

[0004] To address these limitations, computer-based macroeconomic simulators have been developed that allow students and analysts to change economic parameters and observe the results. Existing simulators typically rely on simplified software interfaces that represent economic relationships through static calculations and limited interactive elements. While these tools provide some level of engagement, they often lack the structural modeling capabilities to represent complex macroeconomic equilibrium systems involving multiple markets and economic agents.

[0005] One limitation of existing simulation systems lies in the simplification of the structure of the implemented economic models. Many available simulators rely on overly simplified functional relationships that fail to adequately capture the nonlinear interactions present in real economic systems. As a result, these simulations may produce results that do not realistically represent the behavior of the actual economy.

[0006] Another drawback of known systems is their limited adaptability to changing economic environments. Existing simulators often operate with fixed parameter sets and predefined scenarios, failing to adequately account for dynamic external conditions such as policy shocks, financial crises, technological changes, and global economic disruption. This limitation restricts the usefulness of such simulators when attempting to analyze alternative policy scenarios.

[0007] Traditional macroeconomic simulators are subject to further constraints in interface design and structure. Many systems require complex manipulation of numerous parameters without providing an intuitive mechanism for exploring the relationships between variables. This complexity can diminish the educational value of such systems, especially for users with limited prior experience in macroeconomic modeling.

[0008] Another technical challenge lies in the limited integration of empirical data and econometric evaluation mechanisms in existing simulation environments. Many simulators lack the tools for users to validate econometric models, forecast macroeconomic indicators, or analyze the statistical properties of economic relationships. As a result, users are unable to connect theoretical macroeconomic models with real-world data-driven analysis.

[0009] Furthermore, existing simulation platforms often lack multi-user interaction capabilities and collaborative simulation cycles. This limitation restricts collaborative learning environments where multiple participants can simultaneously explore alternative macroeconomic policies and compare their results.

[0010] Therefore, a structured simulation apparatus is needed that can represent macroeconomic equilibrium models through a configurable mechanical architecture that supports parameter input, model selection, signal transformation, and graphical visualization of macroeconomic relationships. Such an apparatus should allow users to manipulate macroeconomic indicators in a controlled simulation environment, observe the resulting equilibrium state, and analyze the interactions between multiple economic subsystems.

[0011] Therefore, despite the availability of various macroeconomic simulation tools, significant limitations remain in terms of model realism, integration of multiple theoretical frameworks, representation of diverse economic agents, probabilistic modeling capabilities, support for multi-user interaction, and structured system architecture. These limitations highlight the need for improved simulation systems that can represent macroeconomic equilibrium through an integrated computing device that supports parameter input, model selection, signal processing, and graphical visualization of economic relations within a unified machine-based framework. Such systems would enhance the analytical capabilities of macroeconomic simulation tools while improving accessibility and educational effectiveness for users seeking to understand the complex dynamics of national economic systems. [Overview of the project] [Problems that the invention aims to solve]

[0012] This invention provides a computer simulator configured as a structured simulation machine capable of generating equilibrium state representations of macroeconomic systems through controlled parameter inputs and functional signal conversions. A parametric system simulation device configured to generate equilibrium state representations of interacting multi-parameter systems is disclosed. The device has a structured enclosure including a rigid enclosure and an internal mounting chassis supporting a plurality of electronic control assemblies. A parameter input device with user-operable input devices receives numerical parameter values ​​representing baseline indicators related to the interacting entities of the system under simulation. A signal acquisition interface converts the received parameter values ​​into electrical parameter signals and transmits them via a data communication bus to a parameter storage assembly consisting of a non-volatile memory structure. A signal routing assembly, including a selectable switching arrangement, activates one of a plurality of stored interaction model structures representing alternative functional relationships between electrical parameter signals. A signal processing assembly consisting of interconnected processing circuits converts the electrical parameter signals to generate state signals representing equilibrium states between simulated subsystems. A visualization device graphically represents the resulting state signals, and a multi-terminal interaction interface allows simultaneous operation of the device from multiple user terminals.

[0013] The objective of this invention is to provide a computer simulator configured as a structured computing device capable of generating a quantitative representation of a macroeconomic equilibrium state by converting control inputs of economic parameters and said parameters into equilibrium state signals representing the interactions between macroeconomic subsystems.

[0014] Another object of this invention is to provide a parametric simulation device configured to enable input, storage, and processing of basic economic indicators related to multiple economic entities, including households, firms, government agencies, banking institutions, and the external sector. This device generates equilibrium indicators that represent the interactions between the goods market, the labor market, the financial asset market, and the foreign exchange market. Another objective of this invention is to provide a machine-based macroeconomic modeling system configured to selectively implement alternative macroeconomic equilibrium frameworks, including neoclassical equilibrium models, Keynesian equilibrium models, and integrated macroeconomic equilibrium models, thereby enabling comparative analysis of economic behavior under different theoretical assumptions.

[0015] Another object of the present invention is to provide a simulation device comprising a parameter input device, a signal acquisition circuit, a memory structure, a signal processing circuit, and a graphical visualization component, configured to convert macroeconomic indicators input by a user into corresponding electrical parameter signals and generate a representation of an equilibrium state by converting the electrical parameter signals according to a predefined functional relationship.

[0016] Another objective of this invention is to provide a simulation system capable of generating a graphical representation of macroeconomic relationships, including equilibrium curves, indicator trajectories, and comparative parameter plots. This facilitates the visual interpretation of interactions between macroeconomic variables and the analytical evaluation of policy outcomes.

[0017] Another object of the present invention is to provide a simulation device configured to allow changes in macroeconomic policy parameters, including tax levels, government spending levels, interest rates, exchange rate indicators, and money supply indicators, such that changes in such parameters generate corresponding equilibrium state signals representing changes in macroeconomic conditions.

[0018] Another object of the present invention is to provide a simulation device capable of performing iterative simulation cycles in which parameter signals propagate through a processing circuit to generate an updated equilibrium state after changes in selected policy parameters, thereby enabling a systematic evaluation of alternative macroeconomic scenarios.

[0019] Another objective of this invention is to provide a simulation platform that can integrate econometric analysis tasks and macroeconomic equilibrium modeling, thereby enabling users to evaluate statistical relationships between macroeconomic indicators and apply those relationships within policy simulation scenarios.

[0020] A further objective of this invention is to provide a robust and scalable simulation device having a structured internal architecture. This architecture consists of interconnected circuit assemblies housed within a structural enclosure, supporting the modular expansion of economic models, the integration of additional parameter inputs, and the adaptation of simulation scenarios to different analysis environments.

[0021] Therefore, the objective of this invention is to provide a comprehensive macroeconomic simulation device that can model the complex interactions between economic agents, systematically examine macroeconomic policy options, and generate a representation of an equilibrium state that facilitates the understanding and analysis of the dynamics of the national economy. [Means for solving the problem]

[0022] To solve the above problems, the present invention provides a parametric system simulation apparatus (100) comprising a structural enclosure (102). A parameter input device (104) having a user-operable input device receives numerical parameter values ​​representing baseline indicators related to interacting entities of the simulated system. A signal acquisition interface (106) converts the received parameter values ​​into electrical parameter signals and transmits them via a data communication bus to a parameter storage assembly consisting of a non-volatile memory structure. A signal routing assembly (110) including a selectable switching arrangement activates one of a plurality of stored interaction model structures representing alternative functional relationships between electrical parameter signals. A signal processing assembly (112) consisting of interconnected processing circuits converts the electrical parameter signals and generates state signals representing the equilibrium state between the simulated subsystems. [Effects of the Invention]

[0023] In the present invention, a parametric system simulation device configured to generate an equilibrium state representation of an interacting multi-parameter system can be realized.

Brief Description of the Drawings

[0024] These features, aspects, and advantages of the present invention, as well as other features, aspects, and advantages, will be better understood by reading the following detailed description while referring to the accompanying drawings. The same reference numerals indicate the same components throughout the drawings.

[0025] FIG. 1 shows a block diagram of a parametric system simulation device configured to generate an equilibrium state representation of an interacting multivariable system.

[0026] Furthermore, those skilled in the art will understand that the elements in the drawings are shown for simplicity and are not necessarily drawn to scale. For example, a flowchart shows a method with respect to the most prominent steps involved to assist in understanding aspects of the present disclosure. Also, regarding the configuration of the device, one or more of the components of the device may be represented by conventional symbols in the drawings, and the drawings may show only the specific details relevant to understanding the embodiments of the present disclosure so as not to obscure the drawings with details that are readily understandable to those skilled in the art who enjoy the description in this specification.

Modes for Carrying Out the Invention

[0027] For the purpose of facilitating understanding of the principle of the invention, reference is made to the embodiments shown in the drawings and specific terms are used in the description thereof. However, it is not intended to limit the scope of the invention thereby, and it should be understood that changes and further improvements in the illustrated system, as well as further applications of the principle of the invention shown therein, are within the scope that those skilled in the art can normally conceive.

[0028] Those skilled in the art will understand that the above-mentioned general description and the following detailed description are for illustrative purposes only and not intended to limit the present invention.

[0029] Throughout this specification, the phrases “one aspect,” “another aspect,” or similar expressions mean that a particular function, structure, or feature described in relation to an example is included in at least one example. Therefore, the occurrence of phrases “in one example,” “in another example,” and similar expressions throughout this specification does not necessarily refer to the same example.

[0030] The expressions “includes,” “is included,” or other similar expressions are intended to be non-exclusive, and a process or method containing a list of steps does not include only those steps, but may include other steps not expressly stated or inherent in the process or method. Similarly, one or more devices, subsystems, elements, structures, or components preceding “includes…” does not, unless further restricted, exclude the existence of other devices, other subsystems, other elements, other structures, other components, additional devices, additional subsystems, additional elements, additional structures, or additional components.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which this invention pertains. The systems, methods, and embodiments described herein are illustrative and not intended to be limiting.

[0032] The embodiments described herein will be described in detail below with reference to the attached drawings. Referring to Figure 1, a block diagram of a parametric system simulation apparatus configured to generate an equilibrium state representation of an interacting multi-parameter system is shown. System 100 includes: a structural enclosure (102) comprising a rigid housing and an internal mounting chassis configured to support a plurality of electronic control assemblies; a parameter input device (104) located in the structural enclosure comprising a plurality of user-operable input devices configured to receive numerical parameter values ​​representing baseline indicators related to a plurality of interacting entities of a simulated system; a signal acquisition interface (106) electrically connected to the parameter input device and configured to convert the received parameter values ​​into corresponding electrical parameter signals; a parameter storage assembly (108) connected to the signal acquisition interface via a data communication bus and comprising a non-volatile memory structure configured to store baseline values ​​of the electrical parameter signals; a signal routing assembly (110) comprising a selectable switching arrangement configured to activate one of a plurality of stored interaction model structures representing alternative functional relationships between electrical parameter signals; and a signal processing assembly (112) mounted on the internal mounting chassis and comprising one or more processing circuits operationally connected to the parameter storage assembly, configured to convert the electrical parameter signals according to the functional relationships defined by the activated interaction model structures and to generate corresponding state signals representing equilibrium states between a plurality of simulated subsystems.A control input assembly (114) comprises multiple user-operated control elements and is configured to selectively modify selected parameter signals and initiate the execution of a simulation cycle within the signal processing assembly; a timing control unit (116) is configured to propagate electrical parameter signals to the signal processing assembly during the simulation cycle and generate updated status signals representing the modified system state; a visualization assembly (118) comprises a graphical display circuit connected to the signal processing assembly and is configured to generate graphical plots, indicator charts, and numerical displays representing the relationships between the generated status signals; and a multi-terminal interaction interface (120) is configured to enable simultaneous interaction from multiple user terminals connected via a communication interface to the parametric system simulation apparatus.

[0033] In one embodiment, the parameter input device (104) includes a plurality of input terminals configured to receive baseline parameter values ​​corresponding to external system indicators. Here, the signal routing assembly includes a selectable switching matrix configured to change the signal path between the parameter storage assembly and the signal processing assembly.

[0034] In one embodiment, a signal processing assembly (112) is configured to generate state signals representing the interactions between multiple subsystem domains. Here, a timing control unit is configured to sequentially execute simulation cycles after changes in selected parameter signals, and a visualization assembly includes a graphical plotting circuit configured to generate curves representing the relationships between the generated state signals.

[0035] In one embodiment, the system further includes a random perturbation generator configured to introduce a variable perturbation signal to a signal processing device.

[0036] In one embodiment, the system further includes a performance evaluation module configured to generate a comparison index based on equilibrium state signals generated during successive simulation cycles.

[0037] In one embodiment, the parameter input device (104) is located on the front control panel of the structural housing and includes a number of physically mounted input terminals electrically connected to a signal acquisition interface via a conductive wiring harness extending along the internal mounting chassis. Here, the signal acquisition interface includes an analog-to-digital conversion circuit mounted on a printed circuit board fixed to the internal mounting chassis and electrically interconnected with a parameter storage assembly via a data bus connector.

[0038] In one embodiment, a parameter storage assembly (108) is located on a memory circuit board fixed to an internal mounting chassis and is electrically interconnected with a signal processing assembly via a multi-line data transmission bus. Here, the signal routing assembly includes a switchable routing matrix mounted on a circuit board and configured to selectively interconnect signal paths between the parameter storage assembly and the signal processing assembly. The signal processing assembly also includes a plurality of interconnected processing circuits located on a processing board mounted within a structural enclosure and electrically coupled to the signal routing assembly via signal routing connectors.

[0039] In one embodiment, a control input assembly (114) includes a plurality of control actuators mechanically coupled to an electrically switching element configured to modify selected parameter signals transmitted to a signal processing assembly, which is located on a structural enclosure. Here, a timing control unit includes a timing control circuit configured to sequentially activate signal propagation between the parameter storage assembly and the signal processing assembly during the execution of a simulation cycle. A visualization assembly also includes a graphical display module electrically connected to the signal processing assembly via a display control circuit configured to generate graphical plots representing the relationships between the generated state signals.

[0040] In one embodiment, the system further includes an internal communication bus extending between the signal acquisition interface, parameter storage assembly, signal routing assembly, and signal processing assembly for transmitting parameter signals between the assemblies. Here, the multi-terminal interaction interface includes a network communication port mounted on a structural enclosure and electrically connected to the signal processing assembly via a communication controller circuit. The structural enclosure also includes a rigid frame supporting the parameter input device, control input assembly, visualization assembly, and internal circuit board in a fixed spatial arrangement.

[0041] In one embodiment, the system further includes a power supply module installed within the structural enclosure and configured to supply stabilized power to a signal acquisition interface, a parameter storage assembly, a signal processing assembly, and a visualization assembly.

[0042] In one embodiment, a parameter input device (104) is configured to receive parameter signals representing baseline indicators related to a plurality of interacting entities, including consumption indicators, savings indicators, wage indicators, tax indicators, investment indicators, exchange rate indicators, and interest rate indicators, and the parameter input device is configured to receive parameter signals related to a first subsystem representing resource consumption behavior, the parameter signals including autonomous consumption values, marginal propensity to consume values, and marginal propensity to save values.

[0043] In one embodiment, a parameter input device (104) is configured to receive parameter signals related to a second subsystem representing a production entity, the parameter signals including capital stock indicators, depreciation indicators, productivity indicators, and investment response indicators. The parameter input device is also configured to receive parameter signals related to a regulatory subsystem, including tax rate indicators, transfer indicators, expenditure indicators, and public debt indicators.

[0044] In one embodiment, a parameter input device (104) is configured to receive parameter signals related to an external interaction subsystem, including export indicators, import indicators, exchange rate indicators, and international interest rate indicators, and a signal processing device is configured to generate state signals representing the interactions between a commodity exchange subsystem, a labor allocation subsystem, a financial asset subsystem, and a currency exchange subsystem.

[0045] In one embodiment, a signal processing assembly (112) is configured to generate equilibrium state signals derived from functional relationships including a consumption function, an investment response function, a savings function, and a supply-demand interaction function, wherein the signal processing assembly is configured to generate state signals representing the interaction between a liquidity preference index, a money supply index, and an interest rate index.

[0046] In one embodiment, a signal processing assembly (112) is configured to generate an interaction signal representing the relationship between a labor supply index and a labor demand index, and a visualization assembly is configured to generate a graphical representation of the relationship between the generated state signals, including an equilibrium curve corresponding to the interaction between a plurality of subsystems.

[0047] The parametric system simulation apparatus is physically implemented as a mechanically based simulator apparatus. This apparatus comprises a structural enclosure formed from a rigid housing manufactured from metal or reinforced polymer panels, supported by an internal mounting chassis. This chassis is configured to mechanically secure multiple electronic control assemblies, circuit boards, and electrical connectors in a fixed spatial arrangement. The structural enclosure houses a parameter input device mounted on an external control panel. This input assembly consists of multiple user-operable input devices, such as mechanically actuated keys, rotary selectors, and input terminals, designed to receive numerical parameter values ​​corresponding to reference indices of interacting entities in the system under simulation. The input devices are electrically connected via conductive wiring paths to a signal acquisition interface mounted on a printed circuit board within the enclosure. The signal acquisition interface includes an electrical conversion circuit configured to convert received parameter values ​​into corresponding electrical parameter signals. These electrical parameter signals are transmitted via conductive paths forming a data communication bus to a parameter storage assembly, which includes a non-volatile memory circuit located on a memory circuit board fixed to the internal mounting chassis and configured to store baseline signal values. The signal routing assembly, housed within the enclosure, includes a selectable switching mechanism consisting of electrically operated switching elements arranged in a switching matrix that modifies the signal path between the parameter storage assembly and the signal processing assembly. The signal processing assembly includes one or more interconnected electronic processing circuits, housed on a processing board fixed to the internal mounting chassis and electrically coupled to the parameter storage assembly and the signal routing assembly via signal routing connectors. The processing circuits are configured to transform input electrical parameter signals according to predetermined electrical signal relationships representing the interactions between simulated subsystems and to generate corresponding state signals representing the equilibrium state in the simulated system.The control input assembly mounted in the structural enclosure comprises multiple user-operated mechanical control elements such as levers, switches, and push-button actuators, which are mechanically connected to electrical switching elements. These electrical switching elements are configured to modify selected parameter signals and initiate simulation cycles within the signal processing assembly. A timing control unit, configured as a timing control circuit mounted on a control board, is electrically connected to the signal processing assembly and is configured to sequentially propagate parameter signals through the processing circuit during the execution of the simulation cycle, generating updated status signals representing the modified system state. The generated status signals are transmitted to a visualization assembly, which includes a graphical display circuit comprising a display module and a display control circuit, located within the structural enclosure and electrically connected to the signal processing assembly, generating graphical plots, indicator charts, and numerical displays representing the relationships between the generated status signals.

[0048] Furthermore, a multi-terminal interaction interface is provided in the form of a network communication port mounted on the structural enclosure and electrically connected to the signal processing assembly via a communication control circuit. This enables simultaneous interaction from multiple user terminals connected via the communication interface to the simulation device. In certain embodiments, the parameter input device further includes multiple input terminals configured to receive baseline parameter values ​​corresponding to external system indices, and the signal routing assembly includes a selectable switching matrix configured to change the signal path between the parameter storage assembly and the signal processing assembly. The signal processing assembly includes a graphical plotting circuit configured to generate state signals representing the interactions between multiple subsystem regions, a timing control unit to sequentially execute simulation cycles after the parameter signals are changed, and a visualization assembly to generate curves representing the relationships between the generated signals. In further embodiments, the system incorporates a performance evaluation module including a perturbation generator mounted on an internal circuit board and configured to introduce variable perturbation signals to the signal processing assembly, and an electronic comparator circuit configured to generate a comparison index based on the balanced state signals generated during successive simulation cycles. The parameter input device includes physically mounted input terminals located on the front control panel and electrically connected to the signal acquisition interface via a conductive wiring harness extending along the internal mounting chassis. Here, the signal acquisition interface includes a. The parameter input device includes physically mounted input terminals located on the front control panel and is electrically connected to the signal acquisition interface via a conductive wiring harness extending along the internal mounting chassis. Here, the signal acquisition interface includes an analog-to-digital conversion circuit fixed to the internal chassis and electrically interconnected with a parameter storage assembly via a data bus connector. The parameter storage assembly may be located on a memory circuit board electrically interconnected with a signal processing assembly via a multi-line data transmission bus.On the other hand, the signal routing assembly includes a switchable routing matrix mounted on a circuit board configured to selectively interconnect signal paths between the parameter storage assembly and the signal processing assembly. The control input assembly may include a control actuator mechanically coupled to an electrically switching element configured to modify the parameter signals transmitted to the signal processing assembly, located on a structural enclosure. Meanwhile, the timing control unit includes a timing control circuit configured to sequentially activate signal propagation between the parameter storage assembly and the signal processing assembly during the execution of a simulation cycle.

[0049] The visualization assembly includes a graphical display module electrically connected to the signal processing assembly via a display control circuit configured to generate graphical plots representing the relationships between generated signals. An internal communication bus extends between the signal acquisition interface, parameter storage device, signal routing device, and signal processing device, transmitting parameter signals between the devices. Meanwhile, a multi-terminal interaction interface includes a network communication port mounted in the structural enclosure and electrically connected to the signal processing device via a communication control circuit. The structural enclosure further includes a power supply module installed within the enclosure and configured to supply stabilized power to the signal acquisition interface, parameter storage assembly, signal processing assembly, and visualization assembly. During the operation of the simulator device, the parameter input device receives parameter signals representing baseline indicators related to interaction entities such as consumption indicators, savings indicators, wage indicators, tax indicators, investment indicators, exchange rate indicators, and interest rate indicators related to the resource consumption subsystem, production subsystem, regulatory subsystem, and external interaction subsystem. The signal processing assembly processes these electrical parameter signals through interconnected processing circuits and generates state signals representing the interactions between subsystem areas, including the commodity exchange subsystem, labor allocation subsystem, financial asset subsystem, and currency exchange subsystem. The processing circuit further generates equilibrium state signals derived from electrical signal relationships corresponding to consumption behavior, investment response behavior, saving behavior, supply and demand interaction relationships, liquidity preference behavior, money supply conditions, and interest rate interactions. The processing circuit further generates interaction signals representing the relationship between labor supply indicators and labor demand indicators, and the visualization device generates a graphical representation including equilibrium curves corresponding to the relationships between the generated state signals. In this way, the simulator device physically realizes the equilibrium state representation of the multivariable interaction system.

[0050] In one embodiment of the simulator device, a parameter input device and a control input device are configured to support an interactive simulation environment in which the user operates in the role of a macroeconomic decision-making body responsible for implementing national economic policies. The user may represent a government agency, a central bank, or a coordinated public policy body that regulates the instruments of fiscal, monetary, and exchange rate policy. Through the parameter input device, the user inputs baseline economic indicators corresponding to the initial state of the simulated national economy. Meanwhile, the control input device allows modification of macroeconomic policy parameters representing government decisions such as tax adjustments, changes in government spending, interest rate policies, and exchange rate interventions. These user-initiated actions correspond to policy decisions described in the simulation scenario and are converted into electrical parameter signals processed by a signal processing device to determine the equilibrium state of the simulated economy.

[0051] In one embodiment, the simulator architecture supports a stepwise simulation cycle corresponding to decision-making rounds within an educational macroeconomic simulation environment. During each simulation round, the user analyzes analytical information representing the current macroeconomic state of the simulated economy, including indicators derived from commodity markets, labor markets, financial asset markets, and foreign exchange markets. Based on such analysis, the user determines a set of macroeconomic policy measures intended to influence economic outcomes. As the simulation cycle is initiated by the timing control unit, the signal processing assembly propagates parameter signals representing the selected policy measures through a function conversion circuit corresponding to macroeconomic equilibrium relationships. This generates an updated equilibrium state signal representing the outcome of the selected policy decision.

[0052] In certain embodiments, the simulator further enables the evaluation of policy decisions through graphical visualizations and comparative analysis outputs generated by a visualization assembly. The visualization assembly presents graphical plots, equilibrium curves, and numerical indicators showing the response of macroeconomic variables to the implemented policy parameters. These graphical outputs allow users to observe causal relationships between macroeconomic variables and evaluate how the behavioral responses of economic agents, including households, firms, government agencies, banks, and the external sector, affect equilibrium conditions within the national economy. Through this configuration, the simulator functions as an analytical learning environment, enabling users to experimentally evaluate macroeconomic policies and interpret the resulting economic consequences.

[0053] In another embodiment, the simulator further incorporates econometric analysis capabilities implemented through signal processing assemblies and parameter storage assemblies. In this configuration, the simulator generates a synthetic time-series dataset representing macroeconomic indicators across multiple simulation periods. Users can apply econometric estimation methods to the generated dataset to identify functional relationships between economic variables and generate forecasts of future indicator values. The econometric analysis results are then used as updated input parameters within the macroeconomic simulation environment, enabling the integration of econometric forecasting tasks and macroeconomic equilibrium modeling within a single simulator platform.

[0054] In certain implementations, the simulator further supports both deterministic and stochastic simulation modes. In deterministic mode, equilibrium results are calculated exactly based on functional relationships incorporated into the macroeconomic model structure selected through signal routing assembly. In stochastic mode, perturbation signals generated by disturbance generators introduce controlled volatility into selected economic indicators, representing external shocks affecting the national economy, such as fluctuations in international markets, technological changes, and policy changes. These stochastic perturbations allow the simulator to reproduce unpredictable economic conditions and enhance the realism of the simulated macroeconomic environment.

[0055] In embodiments supporting a multi-participant educational environment, a multi-terminal interaction interface enables simultaneous participation of multiple users interacting with the simulator device from separate user terminals. Through this interface, multiple participants can independently analyze economic indicators, propose macroeconomic policy measures, and observe the resulting simulation outcomes. Comparative performance indicators generated by the system can be used to evaluate alternative policy strategies adopted by different participants, thereby supporting collaborative and competitive simulation scenarios designed for macroeconomic education and policy training.

[0056] This invention relates to a parametric system simulation apparatus configured to generate an equilibrium state representation of an interactive multivariable system corresponding to a macroeconomic model of a national economy. The system is implemented as a structured simulation apparatus housed within a structural enclosure that includes a rigid enclosure and an internal mounting chassis configured to support a plurality of electronic control assemblies and circuit boards. The structural enclosure houses a parameter input device, a signal acquisition interface, a parameter storage assembly, a signal wiring assembly, a signal processing assembly, a control input assembly, a timing control unit, a visualization assembly, and a communication interface. These assemblies are electrically interconnected via an internal communication bus configured to transmit electrical parameter signals between assemblies during simulation cycle execution.

[0057] The parameter input device is located on the front control surface of the structural enclosure and includes multiple user-operable input terminals configured to receive reference values ​​representing macroeconomic indicators related to the interacting entities of a simulated national economy. These indicators correspond to parameters related to households, firms, government agencies, financial institutions, and the external sector. The parameter input device is electrically connected to a signal acquisition interface via a conductive wiring path extending along the internal mounting chassis. The signal acquisition interface includes a conversion circuit that converts the received values ​​into electrical parameter signals suitable for internal transmission and storage.

[0058] When parameter values ​​are input through the input terminals, the signal acquisition interface converts the parameter values ​​into corresponding electrical signals and transmits them to the parameter storage device via the internal communication bus. The parameter storage device consists of a non-volatile memory structure mounted on a memory circuit board fixed to the internal mounting chassis. This memory structure stores reference values ​​for electrical parameter signals representing exogenous indicators of the macroeconomic system. These indicators include consumption parameters, savings parameters, taxation parameters, wage parameters, productivity parameters, exchange rate parameters, and interest rate parameters related to the economic actors participating in the simulated economy.

[0059] The stored parameter signals are then transmitted to a signal routing assembly. This assembly includes a selectable switching device configured to activate one of several stored interaction model structures representing alternative macroeconomic equilibrium models. This switching device includes a routing matrix mounted on a circuit board and is configured to selectively interconnect signal paths between the parameter storage device and the signal processing device. Through the routing matrix, the system enables the selective activation of model structures corresponding to different macroeconomic frameworks, including neoclassical equilibrium models, Keynesian equilibrium models, and synthetic macroeconomic equilibrium models.

[0060] When a specific model structure is selected by the switching mechanism, the stored parameter signals are routed via an internal communication bus to a signal processing assembly. The signal processing assembly consists of one or more processing circuits mounted on a processing board within the structural enclosure. These processing circuits are configured to transform electrical parameter signals according to the functional relationships defined by the activated interaction model structure. These transformations represent mathematical relationships that describe the interactions between macroeconomic variables across multiple subsystem domains of the national economy.

[0061] The signal processing unit performs a transformation process that sequentially propagates stored parameter signals through an interconnected group of transformation circuits representing macroeconomic functions. This transformation process begins with the generation of subsystem input signals representing exogenous indicators for households, firms, government agencies, banks, and the external sector. These signals are processed through a group of function transformation circuits configured to generate intermediate signals that represent macroeconomic behavioral relationships.

[0062] Within the subsystem representing resource consumption behavior, the processing circuit generates consumption signals derived from reference parameters including autonomous consumption values, marginal propensity to consume parameters, and marginal propensity to save parameters. These signals are combined with income signals derived from labor market interactions to generate total consumption signals representing the total household demand for goods and services.

[0063] In a production subsystem representing firms and industrial entities, the processing circuit generates an investment signal derived from parameters including capital stock indicators, depreciation indicators, productivity indicators, and investment response parameters related to interest rate fluctuations. Furthermore, the processing circuit generates an output signal representing the level of production derived from the functional relationships between labor input, capital input, and productivity parameters.

[0064] The signal processing unit further generates signals representing interactions within the economic financial asset subsystem. In this subsystem, the processing circuit generates liquidity preference signals derived from parameters representing money demand behavior related to income levels and interest rate conditions. These signals are combined with signals representing money supply indicators derived from central bank parameters such as the money base level, reserve requirements, and refinancing rates. Through this interaction, the processing circuit generates equilibrium signals representing the relationships between liquidity preference indicators, money supply indicators, and equilibrium interest rate conditions.

[0065] The processing circuit also generates signals representing the interactions of the labor market. Within this subsystem, the labor supply signal derived from household behavior parameters is compared with the labor demand signal generated by the producing entities. Through this comparison, an equilibrium signal representing the labor allocation conditions and wage relationships is generated.

[0066] The external interaction subsystem within the signal processing unit generates signals representing the relationship between international trade and capital flows. These signals are derived from parameters such as export indicators, import indicators, exchange rate indicators, and international interest rate indicators. The processing circuit combines these parameters to generate signals representing the interaction between net export conditions and international capital flows.

[0067] Signals generated in various subsystem areas are then transmitted to a timing control unit configured to coordinate the sequential propagation of signals through the processing assembly. The timing control unit includes a timing control circuit configured to initiate the execution of a simulation cycle in response to the activation of a scenario control element. During the execution of the simulation cycle, the controller activates signal propagation paths that allow intermediate signals generated within subsystem areas to interact and generate equilibrium state signals that represent the overall macroeconomic state of the system under simulation.

[0068] Equilibrium state signals represent the equilibrium state achieved among the goods market, labor market, financial asset market, and foreign exchange market. These signals are transmitted to a visualization device via a display control circuit. The visualization device includes a graphic display circuit configured to generate graph plots, numerical indicators, and comparison charts that represent the relationships between the generated state signals.

[0069] The graphical display circuit generates visual representations that include equilibrium curves showing the relationships between macroeconomic variables such as output and interest rates, money supply and demand, and labor market supply and demand. These visualizations allow users to observe the impact of changes in macroeconomic parameters on the equilibrium state of the simulated economy.

[0070] The system further includes a control input device consisting of multiple control actuators mounted on a structural enclosure. These actuators are mechanically coupled to electrical switching elements configured to modify selected parameter signals stored in a parameter memory. Through these controls, users can introduce changes to macroeconomic parameters representing policy decisions, such as tax levels, government spending levels, exchange rate conditions, or money supply indicators.

[0071] When the parameter signals are changed via the control input device, the timing control unit initiates the next simulation cycle, and the updated parameter signals are propagated through the signal processing unit. The resulting equilibrium state signal represents the modified macroeconomic state generated by the new parameter configuration.

[0072] In certain embodiments, the system further includes a perturbation generator configured to introduce variable perturbation signals to a signal processing unit. These perturbation signals simulate stochastic perturbations affecting macroeconomic conditions, such as external financial shocks, changes in international trade conditions, and fluctuations in commodity price levels. The perturbation signals interact with baseline parameter signals during the simulation cycle to generate alternative equilibrium results that represent unpredictable economic environments.

[0073] The system further includes a multi-terminal interaction interface with a communication port connected to the signal processing assembly via a communication controller circuit. This communication interface enables simultaneous interaction with the simulation system from multiple user terminals connected via a network communication environment. Through this interface, multiple users can input parameter values, observe simulation results, and participate in collaborative simulation sessions.

[0074] By integrating a parameter input device, a signal acquisition circuit, a model configuration structure, a signal processing circuit, a cycle execution control mechanism, and a graphical visualization assembly, this invention provides a structured simulation device that generates equilibrium state representations of complex macroeconomic systems and enables interactive exploration of macroeconomic policy scenarios within a controlled computational environment.

[0075] This invention relates to a structured simulation device configured to implement macroeconomic equilibrium modeling through a machine-based architecture including parameter input hardware, electronic processing circuits, signal storage structures, and graphical visualization components. The device is physically implemented as a simulator device housed in a rigid structure enclosure including an internal mounting chassis supporting multiple electronic circuit assemblies.

[0076] The structural enclosure supports a parameter input device located on the front control panel. The parameter input device includes multiple user-operable input terminals configured to receive numerical parameter values ​​corresponding to macroeconomic indicators. These indicators represent fundamental parameters related to economic actors operating within a national economy. Such actors include households, firms, government agencies, banking institutions, foreign economic sectors, and financial authorities.

[0077] Each input terminal is electrically connected via a conductive wiring harness to a signal acquisition interface located within the enclosure. The signal acquisition interface includes a conversion circuit configured to convert received numerical parameter values ​​into corresponding electrical parameter signals suitable for processing by the internal electronic circuitry.

[0078] The generated electrical parameter signals are transmitted via an internal communication bus to a parameter storage device, which consists of a non-volatile memory circuit mounted on a memory circuit board. The parameter storage device stores reference values ​​for electrical signals corresponding to exogenous macroeconomic indicators. These stored signals represent the initial economic conditions used in the simulation calculations.

[0079] The simulator further includes a signal routing assembly consisting of a switchable routing matrix mounted on a circuit board. This routing matrix allows for the selective activation of one of several macroeconomic interaction structures representing alternative theoretical models of macroeconomic equilibrium. The selectable model structures include neoclassical equilibrium models, Keynesian equilibrium models, and synthetic macroeconomic equilibrium models that combine features of both approaches.

[0080] A signal processing assembly consisting of interconnected electronic processing circuits is mounted on a processing board within the enclosure. The processing circuits are configured to transform stored parameter signals according to the functional relationships defined by the selected model structure. Through these transformations, the processing circuits generate state signals that represent the equilibrium state between interacting macroeconomic subsystems.

[0081] The processing circuit implements functional relationships that represent macroeconomic interactions across multiple markets, including the goods and services market, the labor market, the financial asset market, and the foreign exchange market. These relationships include consumption functions, investment response functions, savings functions, labor supply and demand functions, money demand relationships, and international capital flow relationships.

[0082] The simulator further includes a control input device consisting of multiple control actuators arranged in a structural enclosure. These control actuators are mechanically coupled to switching elements configured to modify selected parameter signals transmitted to a processing circuit. Through these controls, users can simulate policy decisions such as changing tax rates, adjusting government spending, adjusting monetary policy parameters, and changing exchange rate systems.

[0083] The timing control unit includes a timing control circuit that coordinates the propagation of signals through the processing assembly during the execution of the simulation cycle. In each cycle, the controller sequentially activates the signal transmission path between the memory assembly and the processing circuit to calculate the updated equilibrium state signal after the input parameter changes.

[0084] The simulator further includes a visualization assembly that includes a graphical display circuit connected to the signal processing assembly via a display controller. The display controller generates a graphical representation of macroeconomic relations, including equilibrium curves, time-series indicators, and comparison parameter plots. These visualizations allow users to analyze the impact of policy changes on macroeconomic equilibrium conditions.

[0085] The simulator device can also incorporate a perturbation generator to introduce stochastic perturbation signals into the processing unit. These perturbations simulate external economic shocks such as international financial turmoil, commodity price fluctuations, and changes in global demand.

[0086] This simulator further features a multi-terminal interaction interface consisting of communication ports connected to the processing unit via a communication controller circuit. This communication interface allows multiple user terminals to interact with the simulator device simultaneously, supporting collaborative decision-making and competitive simulation scenarios.

[0087] While the simulator is running, the user inputs baseline macroeconomic parameters representing the state of the domestic economy. The simulator processes these parameters through a selected macroeconomic model and generates an equilibrium signal that reflects the interaction between economic agents and markets. The user can change policy parameters through the control input device and start additional simulation cycles to evaluate the resulting changes in macroeconomic equilibrium.

[0088] Through this machine architecture, the simulator provides an interactive analytical environment, enabling a systematic exploration of the outcomes and equilibrium dynamics of macroeconomic policies in a simulated national economy.

[0089] The drawings and the preceding description illustrate examples of embodiments. Those skilled in the art will understand that one or more of the described elements may be integrated into a single functional element. Alternatively, certain elements may be divided into multiple functional elements. It is also possible to add elements of one embodiment to another. For example, the order of processes described herein is modifiable and is not limited to the methods described herein. Furthermore, the operations in the flowchart do not necessarily have to be implemented in the order shown, nor do all operations necessarily have to be performed. Operations that do not depend on other operations may be performed in parallel with other operations. The scope of embodiments is by no means limited by these specific examples. Numerous variations are possible, including differences in structure, dimensions, and use of materials, whether or not they are expressly described in the specification. The scope of embodiments is at least as broad as or broader than the scope given by the following claims.

[0090] The advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, these advantages, benefits, solutions to problems, and any components that may result in the occurrence or enhancement of any advantages, benefits, or solutions should not be construed as essential, necessary, or intrinsic features or components in any or all of the claims.

Claims

1. A parametric system simulation apparatus configured to generate an equilibrium state representation of an interacting multivariable system, A structural enclosure including a rigid housing and an internal mounting chassis configured to support multiple electronic control assemblies; A parameter input device located in a structural enclosure, comprising multiple user-operable input devices configured to receive numerical parameter values ​​representing baseline indicators related to multiple interacting entities of a simulated system; A signal acquisition interface electrically connected to the parameter input device and configured to convert received parameter values ​​into corresponding electrical parameter signals; A parameter storage assembly including a non-volatile memory structure connected to a signal acquisition interface via a data communication bus and configured to store reference values ​​for electrical parameter signals; A signal routing assembly including a selectable switching arrangement configured to activate one of several saved interaction model structures representing alternative functional relationships between electrical parameter signals; A signal processing assembly mounted on an internal chassis and operationally coupled with a parameter preservation assembly, comprising one or more processing circuits, wherein the signal processing assembly is configured to transform electrical parameter signals according to functional relationships defined by an activated interaction model structure and to generate corresponding state signals representing equilibrium states between multiple simulated subsystems; A control input assembly comprising multiple user-operated control elements, configured to selectively modify selected parameter signals and initiate the execution of a simulation cycle within a signal processing assembly; A timing control unit configured to propagate electrical parameter signals through a signal processing assembly during a simulation cycle and generate updated status signals representing the changed system state; A visualization assembly including a graphical display circuit connected to a signal processing assembly and configured to generate graph plots, indicator charts, and numerical displays representing the relationships between generated state signals; and It includes a multi-terminal interaction interface configured to enable simultaneous interaction with a parametric system simulation device from multiple user terminals connected via a communication interface, Here, the parameter input device includes a plurality of physically mounted input terminals located on the front control panel of the structural housing, and is electrically connected to the signal acquisition interface via a conductive wiring harness extending along the internal mounting chassis. The parametric system simulation apparatus is characterized in that the signal acquisition interface includes an analog-to-digital conversion circuit mounted on a printed circuit board fixed to an internal mounting chassis, and is electrically interconnected with a parameter storage device via a data bus connector.

2. The parameter storage assembly is located on a memory circuit board fixed to an internal mounting chassis and is electrically interconnected with the signal processing assembly via a multi-line data transmission bus, and the signal wiring assembly includes a switchable wiring matrix mounted on the circuit board. The parametric system simulation apparatus according to claim 1, characterized in that it is configured to selectively interconnect the signal paths between the parameter storage assembly and the signal processing assembly, and the signal processing assembly includes a plurality of interconnected processing circuits, which are arranged on a processing board mounted in a structural enclosure and electrically connected to the signal wiring assembly via signal wiring connectors.

3. Furthermore, it includes an internal communication bus extending between the signal acquisition interface, parameter storage assembly, and signal routing assembly. Here, the multi-terminal interaction interface includes a network communication port mounted on a structural housing and electrically connected to a signal processing assembly via a communication control circuit, wherein the structural housing includes a rigid frame that supports a parameter input device, a control input assembly, a visualization assembly, and an internal circuit board in a fixed spatial arrangement. The control input assembly includes a plurality of control actuators mechanically coupled to an electrical switching element configured to modify a selected parameter signal transmitted to a signal processing assembly, which is located on a structural enclosure. The parametric system simulation apparatus according to claim 1, characterized in that the visualization assembly includes a graphic display module electrically connected to the signal processing assembly via a display controller circuit configured to generate a graphic plot representing the relationships between the generated state signals.

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