Complex-Adaptive System Simulation via Recursive Stop Points
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Solution Overview
Problem
Simulating complex-adaptive systems with user interactions poses challenges due to the complexity and randomness of component behaviors, making it difficult to achieve accurate modeling and optimal decision-making.
Innovation Solution
An electronic computing device is programmed to obtain an initial data state for the system, run simulations until stop points are reached, perform recursive simulations to determine optimized data states, and continue the simulation with these states, allowing for the analysis of multiple paths and the determination of globally optimal outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user actions are included in simulation model, then user interaction capability is improved, but modeling accuracy deteriorates
Solution Approach 1:
The patent segments the simulation process into distinct phases: initial simulation execution, pause at stop points, recursive sub-simulations for evaluating user actions, and resumption. This segmentation allows the model to handle user interactions without compromising the accuracy of the core system behavior by isolating user action evaluations into separate recursive simulation branches.
Solution Approach 2:
The patent performs preliminary recursive simulations at stop points to evaluate potential user actions before committing to a path. By pre-evaluating multiple possible user actions through recursive simulations and selecting optimized data states, the system maintains accuracy by basing decisions on pre-computed optimal paths rather than ad-hoc user inputs during execution.
2Measurement precision
If recursive simulations are performed, then decision accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent extracts and evaluates only the critical decision points (stop points) through recursive simulations, rather than simulating every step of the process. By identifying and isolating specific stop points where user actions impact outcomes, the system performs recursive simulations only at these strategic locations, reducing overall computational complexity while maintaining decision accuracy at critical moments.
Solution Approach 2:
The patent applies partial action by performing recursive simulations only at necessary stop points rather than continuously throughout the entire simulation. This selective application of recursive simulations at key decision points provides sufficient accuracy for critical decisions without the excessive computational burden of applying recursive evaluation to every simulation step.
3Measurement precision
If multiple simulation paths are analyzed, then outcome accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary simulations to identify and establish stop points where user actions significantly impact outcomes. By pre-determining these critical stop points before full simulation execution, the system can efficiently analyze multiple paths only at these strategic locations, improving outcome accuracy without proportionally increasing processing time across the entire simulation timeline.
Solution Approach 2:
The patent skips through simulation segments between stop points by resuming from saved states rather than continuously analyzing every intermediate step. This allows the system to efficiently process multiple simulation paths by focusing computational resources on critical decision points while rapidly transitioning through less critical segments, thereby improving outcome accuracy without linearly increasing overall processing time.
Data Source
AI summary
An initial data state is obtained for an adaptive system. A simulation is started for the adaptive system on an electronic computing device. A first trial is run of the simulation of the adaptive system until a first stop point is reached. When the first stop point is reached, one or more recursive simulations are run from the first stop point. After the one or more recursive simulations have been run, an optimized set of modified data states for the adaptive system at the first stop point is automatically determined. Using the optimized set of modified data states, the run of the first trial of the simulation is continued from the first stop point until either additional stop points are reached or the first trial of the simulation is completed. An additional set of optimized modified data states is determined for at least one of the additional stop points.