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Modeling the Dynamic Nonlinear Nature of Emotional Phenomena

  • Luís Morgado
  • Graça Gaspar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4738)

Abstract

The study of emotional phenomena, particularly the development of emotion models for intelligent agent implementation, has been mainly based on a perspective of emotion as a human phenomenon and on the assumption that emotions can be divided into discrete and independent categories. We propose an alternative model that emphasizes the continuous nonlinear nature of emotion processes, where emotional phenomena are rooted not on high level cognitive or even nervous structures, but on biophysical principles that are pervasive among biological organisms.

Keywords

Emotion Process Dissipative Structure Biological Organism Basic Life Support Nervous Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Staddon, J.: Adaptive Dynamics: The Theoretical Analysis of Behavior. MIT Press, Redmond, Washington (2001)Google Scholar
  2. 2.
    Bergareche, A., Ruiz-Mirazo, K.: Metabolism and the Problem of its Universalization. Biosystems, 49 (1999)Google Scholar
  3. 3.
    Morgado, L., Gaspar, G.: Emotion Based Adaptive Reasoning for Resource Bounded Agents. In: Proceedings of the 4th International Joint Conference on Autonomous Agents and Multi-Agent Systems (2005)Google Scholar
  4. 4.
    Morgado, L., Gaspar, G.: Adaptation and Decision-Making Driven by Emotional Memories. In: Bento, C., Cardoso, A., Dias, G. (eds.) EPIA 2005. LNCS (LNAI), vol. 3808, Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Luís Morgado
    • 1
    • 2
  • Graça Gaspar
    • 2
  1. 1.Instituto Superior de Engenharia de Lisboa, Rua Conselheiro Emídio Navarro, 1949-014 LisboaPortugal
  2. 2.Faculdade de Ciências da Universidade de Lisboa, Universidade de Lisboa, Campo Grande, 1749-016 LisboaPortugal

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