Decisions , Decisions . . . and the Role of Emotions in the Process : Formal Theory

We use the formalisnl of decision theory to develop principled definitions of emotional states of a rational agent. We postulate that these notions are useflfl for rational agent design. First, they can serve as internal states controlling the allocation of computations and time devoted to cognitive tasks under external pressures. Second, they provide a well defined implementation-independent vocabuhuy the agents can use to communicate their internal states to each other. Finally, they are essential during interactions with human agents in open nmlti-agent environments. Using decision theory to formalize the notions of emotions provides a formal bridge between the rich bodies of work in cognitive science, and the high-end AI m-ehiteetures for designing rational artificial agents.

[1]  Aaron Sloman,et al.  Motives, Mechanisms, and Emotions , 1987, The Philosophy of Artificial Intelligence.

[2]  Michael L. Littman,et al.  Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.

[3]  Christine L. Lisetti,et al.  Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect , 2000 .

[4]  Andrew Stern,et al.  Panel on affect and emotion in the user interface , 1998, IUI '98.

[5]  Edmund H. Durfee,et al.  A Rigorous, Operational Formalization of Recursive Modeling , 1995, ICMAS.

[6]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[7]  Christine L. Lisetti,et al.  Facial Expression Recognition Using a Neural Network , 1998, FLAIRS.

[8]  Christine L. Lisetti Motives for Intelligent Agents: Computational Scripts for Emotion Concepts , 1997, SCAI.

[9]  H. Simon,et al.  Motivational and emotional controls of cognition. , 1967, Psychological review.

[10]  David Carmel,et al.  Learning Models of Intelligent Agents , 1996, AAAI/IAAI, Vol. 1.

[11]  Michael C. Mozer,et al.  The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .

[12]  K. Scherer,et al.  The Relationship of Emotion to Cognition: A Functional Approach to a Semantic Controversy , 1987 .

[13]  P. Johnson-Laird,et al.  Basic emotions, rationality, and folk theory , 1992 .

[14]  Garrison W. Cottrell,et al.  EMPATH: Face, Emotion, and Gender Recognition Using Holons , 1990, NIPS.

[15]  A. Rubinstein Finite automata play the repeated prisoner's dilemma , 1986 .

[16]  Michael Wooldridge,et al.  Foundations of Rational Agency , 1999 .

[17]  Aaron Sloman,et al.  Why Robots Will Have Emotions , 1981, IJCAI.

[18]  H. Simon,et al.  Rational choice and the structure of the environment. , 1956, Psychological review.

[19]  Christine L. Lisetti,et al.  An Environment to Acknowledge the Interface between Affect and Cognition , 1998 .