Collaborative decision-making method based on hierarchical multi-agent and top-down planning

Abstract

The invention discloses a collaborative decision-making method based on hierarchical multi-agent and top-down planning, and the method comprises the following operation steps: carrying out information collaborative planning decision-making based on hierarchical agents, including a memory module, a collaboration module, a planning module and an acquisition module, and carrying out information acquisition, storage memory, collaboration and planning; information collection, including information extraction, information collection, information processing, interactive cooperation and information storage, is carried out; and the memory module is used for memorizing and storing the acquired information and comprises a long-term memory module, a short-term memory module, an information module and a knowledge management module. According to the collaborative decision-making method based on hierarchical multi-agent and top-down planning, based on a hierarchical multi-agent collaborative framework, a top-down task planning strategy is adopted, a high-level target is decomposed into executable sub-tasks step by step, and through an explicit communication protocol and a context awareness scheduling mechanism between the agents, the task planning strategy is optimized, and the task planning efficiency is improved. And end-to-end collaborative reasoning and decision optimization are realized.

Description

Technical Field

[0001] This invention relates to the field of collaborative decision-making technology, and in particular to a collaborative decision-making method based on hierarchical multi-agent and top-down planning. Background Technology

[0002] Collaborative decision-making refers to the cooperation and coordination among multiple decision-makers to achieve common decision-making goals. With the development of digitalization, collaborative decision-making is becoming increasingly important in high-frequency business decisions, especially in areas that require trial and error optimization. As technology continues to develop, people are also placing higher and higher demands on the manufacturing process of collaborative decision-making methods.

[0003] Existing collaborative decision-making methods have certain drawbacks. First, they utilize relatively few intelligent agent technologies, failing to achieve effective global perception and intelligent decision-making, thus reducing the effectiveness of collaborative decision-making and hindering user adoption. Second, they are ineffective in information collection, storage, and collaborative planning, negatively impacting practical applications. Therefore, we propose a collaborative decision-making method based on hierarchical multi-agent systems and top-down planning. Summary of the Invention

[0004] Technical problem solved: To address the shortcomings of existing technologies, this invention provides a collaborative decision-making method based on hierarchical multi-agent and top-down planning. Based on a hierarchical multi-agent collaboration framework, it adopts a top-down task planning strategy to decompose high-level goals into executable sub-tasks step by step. Through explicit communication protocols between agents and a context-aware scheduling mechanism, it achieves end-to-end collaborative reasoning and decision optimization, which can effectively solve the problems in the background technology.

[0005] Technical Solution: To achieve the above objectives, the technical solution adopted by this invention is: a collaborative decision-making method based on hierarchical multi-agent and top-down planning, comprising the following operational steps: S1: Agent Decision-Making: Information collaborative planning and decision-making based on hierarchical agents, including memory module, collaboration module, planning module and acquisition module, to collect, store and remember, collaborate and plan; S2: Data Acquisition Module: Collects information, including information extraction, information collection, information processing, interactive collaboration, and information storage; S3: Memory Module: Stores the collected information, including long-term memory, short-term memory, information module, and knowledge management module; S4: Planning Module: Centralized interactive planning of collected and stored information, including reflection module, decision-making module, thought chain module and goal decomposition module; S5: Hierarchical decision-making: Centralizes the decision-making systems of multiple intelligent agents and transmits them to the hierarchical decision-making organization system for storage via wireless communication; S6: Central Organizational Structure: Centralizes multi-group hierarchical decision-making systems and transmits the data wirelessly to the central organizational structure system for storage and collaborative decision-making.

[0006] As a preferred technical solution of this application, steps S1-S6 include a central organizational structure system, a hierarchical decision-making organization system, and an intelligent agent decision-making system, wherein multiple sets of intelligent agent decision-making systems are connected to the hierarchical decision-making organization system, and multiple sets of hierarchical decision-making organization systems are connected to the central organizational structure system.

[0007] As a preferred technical solution of this application, the output terminals of the multiple sets of intelligent agent decision-making systems are connected to the input terminal signals of the hierarchical decision-making organization system via wireless communication, and the output terminals of the multiple sets of hierarchical decision-making organization systems are connected to the input terminal signals of the central organizational structure system via wireless communication.

[0008] As a preferred technical solution of this application, the intelligent agent decision-making system connects a memory module, a collaboration module, a planning module and a data acquisition module.

[0009] As a preferred technical solution of this application, the memory module, collaboration module, planning module and acquisition module transmit data to the intelligent agent decision-making system for collaborative planning.

[0010] As a preferred technical solution of this application, the acquisition module includes information extraction, information collection, information processing, interactive collaboration, and information storage.

[0011] As a preferred technical solution of this application, the memory module is connected to the long-term memory module, the short-term memory module, the information module and the knowledge management module, and the long-term memory module, the short-term memory module, the information module and the knowledge management module transmit signals bidirectionally with the memory module.

[0012] As a preferred technical solution of this application, the planning module is connected to a reflection module, a decision-making module, a thinking chain module and a target decomposition module, and the planning module makes collaborative decisions through the reflection module, the decision-making module, the thinking chain module and the target decomposition module.

[0013] Beneficial Effects: Compared with existing technologies, this invention provides a collaborative decision-making method based on hierarchical multi-agent systems and top-down planning, which has the following beneficial effects: This collaborative decision-making method based on hierarchical multi-agent systems and top-down planning, based on a hierarchical multi-agent collaborative framework, adopts a top-down task planning strategy, decomposes high-level goals into executable sub-tasks step by step, and achieves end-to-end collaborative reasoning and decision optimization through explicit communication protocols and context-aware scheduling mechanisms between agents. It performs information collaborative planning and decision-making based on hierarchical agents, including a memory module, a collaboration module, a planning module, and a data acquisition module, for information acquisition, storage and memory, collaboration, and planning; and processes the information... The process involves data collection, including information extraction, collection, processing, interactive collaboration, and storage. The collected information is stored in memory, including long-term memory, short-term memory, information modules, and knowledge management modules. The collected and stored information is then centrally planned for interaction, including reflection modules, decision-making modules, thought chain modules, and goal decomposition modules. Multiple intelligent agent decision-making systems are centralized and transmitted wirelessly to a hierarchical decision-making organization system for storage. Finally, multiple hierarchical decision-making organization systems are centralized and transmitted wirelessly to a central organizational structure system for collaborative decision-making. This collaborative decision-making method is simple in structure, easy to operate, and performs better than traditional methods. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the overall structure of the collaborative decision-making method based on hierarchical multi-agent and top-down planning of the present invention.

[0015] Figure 2 This is a schematic diagram of the memory module in the collaborative decision-making method based on hierarchical multi-agent and top-down planning of the present invention.

[0016] Figure 3 This is a schematic diagram of the acquisition module in the collaborative decision-making method based on hierarchical multi-agent and top-down planning of the present invention.

[0017] Figure 4 This is a schematic diagram of the planning module in the collaborative decision-making method based on hierarchical multi-agent and top-down planning of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. However, those skilled in the art will understand that the embodiments described below are some embodiments of the present invention, but not all embodiments, and are only used to illustrate the present invention, and should not be regarded as limiting the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Where specific conditions are not specified in the embodiments, conventional conditions or conditions recommended by the manufacturer shall be followed. Where the manufacturers of reagents or instruments are not specified, they are all conventional products that can be purchased commercially.

[0019] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0020] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0021] like Figure 1-4 As shown, the collaborative decision-making method based on hierarchical multi-agent and top-down planning includes the following steps: S1: Agent Decision-Making: Information collaborative planning and decision-making based on hierarchical agents, including memory module, collaboration module, planning module and acquisition module, to collect, store and remember, collaborate and plan; S2: Data Acquisition Module: Collects information, including information extraction, information collection, information processing, interactive collaboration, and information storage; S3: Memory Module: Stores the collected information, including long-term memory, short-term memory, information module, and knowledge management module; S4: Planning Module: Centralized interactive planning of collected and stored information, including reflection module, decision-making module, thought chain module and goal decomposition module; S5: Hierarchical decision-making: Centralizes the decision-making systems of multiple intelligent agents and transmits them to the hierarchical decision-making organization system for storage via wireless communication; S6: Central Organizational Structure: Centralizes multi-group hierarchical decision-making systems and transmits the data wirelessly to the central organizational structure system for storage and collaborative decision-making.

[0022] Based on a hierarchical multi-agent collaboration framework, a top-down task planning strategy is adopted to decompose high-level goals into executable sub-tasks step by step. End-to-end collaborative reasoning and decision optimization are achieved through explicit communication protocols between agents and a context-aware scheduling mechanism.

[0023] like Figure 1 As shown, steps S1-S6 include a central organizational structure system, a hierarchical decision-making organization system, and an intelligent agent decision-making system. Multiple intelligent agent decision-making systems are connected to the hierarchical decision-making organization system, and multiple hierarchical decision-making organization systems are connected to the central organizational structure system. The outputs of multiple intelligent agent decision-making systems are wirelessly connected to the inputs of the hierarchical decision-making organization system, and the outputs of multiple hierarchical decision-making organization systems are wirelessly connected to the inputs of the central organizational structure system. The intelligent agent decision-making system connects to a memory module, a collaboration module, a planning module, and a data acquisition module. The memory module, collaboration module, planning module, and data acquisition module transmit data to the intelligent agent decision-making system for collaborative planning.

[0024] like Figure 3 As shown, the acquisition module includes information extraction, information collection, information processing, interactive collaboration, and information storage.

[0025] like Figure 2 As shown, the memory module connects the long-term memory module, short-term memory module, information module, and knowledge management module, and there is bidirectional signal transmission between the long-term memory module, short-term memory module, information module, knowledge management module, and memory module.

[0026] like Figure 4 As shown, the planning module is connected to the reflection module, decision-making module, thinking chain module, and goal decomposition module. The planning module makes collaborative decisions through the reflection module, decision-making module, thinking chain module, and goal decomposition module.

[0027] Working Principle: Based on a hierarchical intelligent agent system, this system enables collaborative planning and decision-making, including a memory module, a collaboration module, a planning module, and a data acquisition module. This module collects, stores, collaborates, and plans information. Information collection includes extraction, gathering, processing, interactive collaboration, and storage. The collected information is stored using long-term memory, short-term memory, an information module, and a knowledge management module. Centralized interactive planning is performed on the collected and stored information, including a reflection module, a decision-making module, a thought chain module, and a goal decomposition module. Multiple intelligent agent decision-making systems are centralized and transmitted wirelessly to a hierarchical decision-making organization system for storage. Multiple hierarchical decision-making organization systems are centralized and transmitted wirelessly to a central organizational structure system for storage and collaborative decision-making. Based on a hierarchical multi-agent collaboration framework, a top-down task planning strategy is adopted, decomposing high-level goals into executable sub-tasks. End-to-end collaborative reasoning and decision optimization are achieved through explicit communication protocols and context-aware scheduling mechanisms between intelligent agents.

[0028] It should be noted that, in this document, relational terms such as first and second (number one, number two), etc., are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0029] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A collaborative decision-making method based on hierarchical multi-agent and top-down planning, characterized in that: The following steps are included: S1: Agent Decision-Making: Information collaborative planning and decision-making based on hierarchical agents, including memory module, collaboration module, planning module and acquisition module, to collect, store and remember, collaborate and plan; S2: Data Acquisition Module: Collects information, including information extraction, information collection, information processing, interactive collaboration, and information storage; S3: Memory Module: Stores the collected information, including long-term memory, short-term memory, information module, and knowledge management module; S4: Planning Module: Centralized interactive planning of collected and stored information, including reflection module, decision-making module, thought chain module and goal decomposition module; S5: Hierarchical decision-making: Centralizes the decision-making systems of multiple intelligent agents and transmits them to the hierarchical decision-making organization system for storage via wireless communication; S6: Central Organizational Structure: Centralizes multi-group hierarchical decision-making systems and transmits the data wirelessly to the central organizational structure system for storage and collaborative decision-making.

2. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 1, characterized in that: Steps S1-S6 include a central organizational structure system, a hierarchical decision-making organization system, and an intelligent agent decision-making system. Multiple sets of intelligent agent decision-making systems are connected to the hierarchical decision-making organization system, and multiple sets of hierarchical decision-making organization systems are connected to the central organizational structure system.

3. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 2, characterized in that: The output terminals of the multiple sets of intelligent agent decision-making systems are connected to the input terminals of the hierarchical decision-making organization system via wireless communication, and the output terminals of the multiple sets of hierarchical decision-making organization systems are connected to the input terminals of the central organizational structure system via wireless communication.

4. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 2, characterized in that: The intelligent agent decision-making system connects a memory module, a collaboration module, a planning module, and a data acquisition module.

5. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 4, characterized in that: The memory module, collaboration module, planning module, and acquisition module transmit data to the intelligent agent decision-making system for collaborative planning.

6. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 4, characterized in that: The acquisition module includes information extraction, information collection, information processing, interactive collaboration, and information storage.

7. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 4, characterized in that: The memory module connects the long-term memory module, the short-term memory module, the information module, and the knowledge management module, and there is bidirectional signal transmission between the long-term memory module, the short-term memory module, the information module, the knowledge management module, and the memory module.

8. The collaborative decision-making method based on hierarchical multi-agent and top-down planning according to claim 4, characterized in that: The planning module is connected to a reflection module, a decision-making module, a thinking chain module, and a goal decomposition module. The planning module makes collaborative decisions through the reflection module, the decision-making module, the thinking chain module, and the goal decomposition module.

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