Abstract
In Distributed Problem-solving systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve a global task. Social co-ordination is a decentralised mechanism, that sets out from autonomous, non-benevolent agents that interact primarily to improve the degree of attainment of their local goals. One way of ensuring the effectiveness of social co-ordination with respect to global problem solving is to rely on self-interested agents and to coerce their behaviour in a desired direction. In this paper we model the notion of social structure for a particular class of multiagent domains, and determine its functionality with respect to social co-ordination. We show how social structure can be used to bias macrolevel properties in the frame of multiagent system design, and discuss microlevel implications respecting the architecture of autonomous problem-solving agents.
This work was partially supported by the Human Capital and Mobility Program (HCM) of the European Union, contract ERBCHBICT941611.
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Ossowski, S., García-Serrano, A. (1999). Social Structure in Artificial Agent Societies: Implications for Autonomous Problem-Solving Agents. In: Müller, J.P., Rao, A.S., Singh, M.P. (eds) Intelligent Agents V: Agents Theories, Architectures, and Languages. ATAL 1998. Lecture Notes in Computer Science, vol 1555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49057-4_9
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DOI: https://doi.org/10.1007/3-540-49057-4_9
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