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.
Keywords :
cognition; digital simulation; multi-agent systems; social sciences computing; agent-based social simulation modeling; autonomous agent; cognitive architecture; cognitive social simulation; domain-generic computational cognitive model; multiagent system; social computing; Autonomous agents; Cognition; Computational modeling; Computer architecture; Decision making; Multiagent systems; Resource management; Social network services; Stock markets; Traffic control; cognition; cognitive architecture; organization; social computing; social simulation; society;