Social Structure in Artificial Agent Societies: Implications for Autonomous Problem-Solving Agents

作者: Sascha Ossowski , Ana García-Serrano

DOI: 10.1007/3-540-49057-4_9

关键词: Class (computer programming)Computer scienceSystems architectureAutonomous agentStructure (mathematical logic)Systems designMechanism (sociology)Artificial intelligenceHuman–computer interactionAgent-based social simulation

摘要: In Distributed Problem-solving systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve global task. Social co-ordination is decentralised mechanism, that sets out from autonomous, non-benevolent primarily improve the degree attainment local goals. One way ensuring effectiveness social with respect problem solving rely on self-interested coerce behaviour in desired direction. this paper we model notion structure for particular class multiagent domains, determine its functionality co-ordination. We show how can be used bias macrolevel properties frame system design, discuss microlevel implications respecting architecture autonomous problem-solving agents.

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