Emotional advantage for adaptability and autonomy

ABSTRACT

During the last two decades, researchers have collected a decisive amount of experimental evidence about the fundamental role of Emotion on cognitive processing. Emotional phenomena have been correlated with effective decision-making processes, memory, learning and other high-level cognitive capabilities and skills (e.g. risk assessment). In this paper we will describe an ongoing work that aims to design new Agent Architectures influenced by what has been learned in psychology and neurosciences about Emotion-cognition interaction. We will present an Agent architecture that includes several emotional-like mechanisms, namely: emotional evaluation functions, Emotion-biased processing, emotional tagging and mood congruent memory. These mechanisms are intended to increase the performance and adaptability of Agents operating in real-time environments. We will also introduce Pyrosim, a MAS platform we have developed to serve as an appropriate test-bed for Emotional-based Architectures, which simulates a forest fire in a complex 3D environment.

REFERENCES

• 1: Canãmero, D. Designing Emotions for Activity Selection. TR - DAIMI PB 546, Univ. of Arhaus.
• 2: Clore, G. and Gasper. K. Felling is believing: some affective influences on belief. In Frijda, N. et al. (Eds.). Emotions and Beliefs. Cambridge U. Pr. 2000
• 3: Damásio, A. Descartes Error - Emotion, Reason and the Human Brain. Gosset/Putnam Press, NY. 1994.
• 4: Ekman, P. and Davidson, R. (Eds.). The Nature of Emotion: Fundamental Questions. Oxford U P., 1994.
• 5: Fiedler, K. and Bless. H. The formation of beliefs at the interface of affective and cognitive processes. In Frijda, N. et al. (Eds.). Emotions and Beliefs. Cambridge U. Pr. 2000.
• 6: Fridja, N. The Emotions. Cambridge U. Press, 1986
• 7: LeDoux, J. The Emotional Brain. Simon & Schutzer, New York. 1996.
• 8: Eugenio Oliveira , Luís Sarmento, Emotional Valence-Based Mechanisms and Agent Personality, Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence, p.152-162, November 11-14, 2002
• 9: Ortony, A., Clore, G. and Collins, A. The Cognitive Structure of Emotions. Cambridge Univ. Press, 1998.
• 10: Bower, G., Forgas, J. Affect, Memory and Social Cognition". In Eich, E. et al. (Eds). Cognition and Emotion. Oxford U. P., 2000.
• 11: Rosalind W. Picard, Affective computing, MIT Press, Cambridge, MA, 1997
• 12: Schwarz, N. Emotion, Cognition, and Decision Making. In Smith, C. (Ed.) Cognition and Emotion, Vol. 14, Issue 4, Psychology Press, 2000.
• 13: Simon, H. Motivational and emotional controls of cognition. Psychological Rev., 74. 1967.
• 14: Velásquez J., Modeling Emotion-Based decision making. In D. Cañanero (Ed.), Emotional and Intelligent: The Tangled Knot of Cognition, 1998.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.8 Problem Solving, Control Methods, and Search

General Terms:
Algorithms, Design, Theory

Keywords:
adaptability, cognition, emotion, simulation