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Formal modeling and analysis of cognitive agent behavior.
Alexei Sharpanskykh1, Jan Treur
1Department of Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands. sharp@few.vu.nl
This study proposes an automated method to transform external cognitive agent behavior descriptions into executable formats. This enables simulations and automated analysis of agent actions and their consequences.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Computer Science
Background:
- Cognitive agent behavior is externally observable via stimulus-response correlations.
- Internal agent dynamics involve causal temporal relations between mental states.
- Analyzing agent behavior requires executable internal state specifications.
Purpose of the Study:
- To propose an automated procedure for transforming external behavioral specifications into executable formats.
- To enable simulation and verification techniques for cognitive agent analysis.
- To demonstrate the applicability of the transformation for diverse behaviors.
Main Methods:
- Developing an automated transformation procedure.
- Representing internal agent dynamics in an executable format.
- Utilizing verification techniques for automated analysis.
Main Results:
- Successful transformation of external specifications to executable formats.
- Demonstration of automated analysis through simulations.
- Validation across various behavioral examples.
Conclusions:
- The proposed automated procedure facilitates in-depth analysis of cognitive agents.
- Executable internal state representations enable robust behavioral simulations and verification.
- This approach bridges the gap between observed behavior and internal dynamics analysis.
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