Modelling social action for AI agents
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Social Intelligence Among Autonomous Agents
Computational & Mathematical Organization Theory
Emergence of social conventions in complex networks
Artificial Intelligence
Agent-Based Social Simulation and Modeling in Social Computing
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Sociability vs Network Dynamics: Impact of Two Aspects of Human Behavior on Diffusion Phenomena
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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We define the notion of social rumor in a standard game-theoretic framework, and assume each agent in the rumor game with individual rationality. In this framework, individual agent can interact with its neighboring agents, and word-of-mouth communication is employed during interaction. We introduce a simple and natural strategy-select rule, called behavior update rule (BUR). The BUR uses an accumulative influence force (CIF) with considering the authority influence of neighboring agents rather than simple accumulative number of information from neighboring agents. The BUR can provide rules to restrict agents' behavior to one particular strategy and lead to emergence of social rumor or anti-rumor. Most importantly, we give simple natural rules of rumor and anti-rumor information transmission, and investigate the efficiency with which social rumors and anti-rumors (agent claims that rumor information is false or doesn't exist) are achieved.