Unified theories of cognition
Integrating rules and connectionism for robust commonsense reasoning
Integrating rules and connectionism for robust commonsense reasoning
Multi-agent reinforcement learning: weighting and partitioning
Neural Networks
A cognitively based simulation of academic science
Computational & Mathematical Organization Theory
Autonomous learning of sequential tasks: experiments and analyses
IEEE Transactions on Neural Networks
Computational modeling of brain processes for agent architectures: issues and implications
BI'11 Proceedings of the 2011 international conference on Brain informatics
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A cognitive architecture is a domain-generic computational cognitive model that may be used for a broad, multiple-domain analysis of cognition and behavior. It embodies generic descriptions of cognition in computer algorithms and programs. Social simulation with multi-agent systems can benefit from incorporating cognitive architectures, as they provide a realistic basis for modeling individual agents (as argued in Sun 2001). In this article, an example of a cognitive architecture will be given, and its application to social simulation will be outlined.