Abstract
Agent-based social simulation modeling, a social phenomena on the basis of models of autonomous agents has grown tremendously in recent decades. Researchers use this approach to study a wide range of social and economic issues, including social beliefs and norms, resource allocation, traffic patterns, social cooperation, stock market dynamics, group interaction and dynamics, and organizational decision making. Agent-based social simulation with multiagent systems in social computing can benefit from incorporating cognitive architectures. A cognitive architecture is a domain-generic computational cognitive model that captures essential structures and processes of the individual mind for the purpose of a broad (multiple-domain) analysis of cognition and behaviour.
Published Version
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