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Regulated Agent-Based Social Systems

RASTA 2002: Regulated Agent-Based Social Systems pp 189–209Cite as

Emotion: Theoretical Investigations and Implications for Artificial Social Aggregates

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2934))

Abstract

One of the most pressing issues in the social sciences and in distributed artificial intelligence research is the micro-macro link that is the question of how individual action and social structure are interrelated. Besides others disciplines, sociological research has identified emotion as being a possible key component in this link. Unfortunately, sociological theories in question remain relatively basic, and do not refer to emotion research from other disciplines. We show that emotion theories and models from cognitive science, psychology, neuroscience, and computer science constitute a valuable, if not mandatory foundation for sociological issues in emotion research. We therefore present an integrated view on emotion. The goal is to relate specific micro-macro aspects of emotion theory with general sociological theories of societal structuration. This issue is briefly discussed in the context of an exemplifying multi-agent architecture.

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Authors and Affiliations

  1. Institute of Sociology, University of Hamburg, Allende-Platz 1, D-20146, Hamburg, Germany

    Christian von Scheve

  2. Computer Science Department, University of Hamburg, Vogt-Koelln-Str. 30, D-22527, Hamburg, Germany

    Daniel Moldt

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  1. Christian von Scheve
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Editors and Affiliations

  1. Institute for Computer Science, Humboldt-University Berlin, Berlin, Germany

    Gabriela Lindemann

  2. Department of Informatics, University of Hamburg, Vogt-Kölln-Str. 30, D-22527, Hamburg

    Daniel Moldt

  3. Institute for Cognitive Science and Technology, Rome, Italy

    Mario Paolucci

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von Scheve, C., Moldt, D. (2004). Emotion: Theoretical Investigations and Implications for Artificial Social Aggregates. In: Lindemann, G., Moldt, D., Paolucci, M. (eds) Regulated Agent-Based Social Systems. RASTA 2002. Lecture Notes in Computer Science(), vol 2934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25867-4_12

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