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2015 | OriginalPaper | Buchkapitel

14. Simulating Human Social Behaviors

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Abstract

While agent-based simulations have been a subject of a great deal of research in recent years, to date there is no framework for describing social agents that captures the uniqueness of human decision-making while remaining applicable across a wide variety of domains. We argue that if multiagent systems are to provide a proper computational model of both human decision-making and social interaction, then these structures and institutions and the cognitive capabilities of the agents that comprise them must be modeled to a level where computational complexity is not sacrificed on behalf of realism. This chapter examines the challenges facing frameworks describing cognitive agents embedded in a social environment. Following the analysis of these challenges, we introduce innovative mechanisms that allow agents to exhibit social behaviors by balancing their individual wants and needs with the concerns of the entire society while retaining a high level of cognition.

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Metadaten
Titel
Simulating Human Social Behaviors
verfasst von
Yu Zhang
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-15096-3_14