Modeling Social Deviance in Artificial Agent Societies

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• 关键词：Artificial agent societies ; Social deviance ; Agent ; based social simulation ; Rule ; breaking behaviors
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9571
• 期：1
• 页码：287-302
• 全文大小：3,710 KB
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• 作者单位：J. Octavio Gutierrez-Garcia (16)
  Emmanuel Lopez-Neri (17)
  
  16. Department of Computer Science, Instituto Tecnológico Autónomo de México, 1 Río Hondo St., Progreso Tizapán, 01080, Mexico, DF, Mexico
  17. CIDETEC-UVM, Universidad del Valle de México, Guadalajara Sur Campus, 8077 Periférico Sur, Santa María Tequepexpan, 45601, Tlaquepaque, Jalisco, Mexico
  
• 丛书名：Multi-Agent Systems and Agreement Technologies
• ISBN：978-3-319-33509-4
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9571

文摘

Rule-governed artificial agent societies consisting of autonomous members are susceptible to rule violations, which can be seen as the acts of agents exercising their autonomy. As a consequence, modeling and allowing deviance is relevant, in particular, when artificial agent societies are used as the basis for agent-based social simulation. This work proposes a belief framework for modeling social deviance in artificial agent societies by taking into account both endogenous and exogenous factors contributing to rule compliance. The objective of the belief framework is to support the simulation of social environments where agents are susceptible to adopt rule-breaking behaviors. In this work, endogenous, exogenous and hybrid decision models supported by the event calculus formalism were implemented in an agent-based simulation model. Finally, a series of simulations was conducted in order to perform a sensitivity analysis of the agent-based simulation model.