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Abstraction Relations between Internal and Behavioural Agent Models for Collective Decision Making

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6421))

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Abstract

For agent-based modelling of collective phenomena individual agent behaviours can be modelled either from an agent-internal perspective, in the form of relations involving internal states of the agent, or from an agent-external, behavioural perspective, in the form of input-output relations for the agent, abstracting from internal states. Illustrated by a case study on collective decision making, this paper addresses how the two types of agent models can be related to each other. First an internal agent model for collective decision making is presented, based on neurological principles. It is shown how by an automated systematic transformation a behavioural model can be obtained, abstracting from the internal states. In addition, an existing behavioural agent model for collective decision making incorporating principles on social diffusion is described. It is shown under which conditions and how by an interpretation mapping the obtained abstracted behavioural agent model can be related to this existing behavioural agent model for collective decision making.

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Sharpanskykh, A., Treur, J. (2010). Abstraction Relations between Internal and Behavioural Agent Models for Collective Decision Making. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-16693-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16692-1

  • Online ISBN: 978-3-642-16693-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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