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A Functional Approach to Emotion in Autonomous Systems

  • Ricardo Sanz
  • Carlos Hernández
  • Jaime Gómez
  • Adolfo Hernando
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 657)

Abstract

The construction of fully effective systems seems to pass through the proper exploitation of goal-centric self-evaluative capabilities that let the system teleologically self-manage. Emotions seem to provide this kind of functionality to biological systems and hence the interest in emotion for function sustainment in artificial systems performing in changing and uncertain environments; far beyond the media hullabaloo of displaying human-like emotion-laden faces in robots. This chapter provides a brief analysis of the scientific theories of emotion and presents an engineering approach for developing technology for robust autonomy by implementing functionality inspired in that of biological emotions.

Keywords

Autonomous System Sustainable Performance Emotional System Global Controller Somatic Marker Hypothesis 
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.

Notes

Acknowledgements

Authors would like to acknowledge the support coming from the European Community’s Seventh Framework Programme FP6/2004-2007 under grant agreement IST 027819 ICEA—Integrating Cognition, Emotion and Autonomy—and the Spanish Plan Nacional de I+D under grant agreement DPI-2006-11798 C3—Control Cognitivo Consciente.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Ricardo Sanz
    • 1
  • Carlos Hernández
    • 1
  • Jaime Gómez
    • 1
  • Adolfo Hernando
    • 1
  1. 1.Autonomous Systems Laboratory (ASLab-UPM)Universidad Politécnica de MadridMadridSpain

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