abstract
Computational models of emotions promise to extend the capabilities of artificial intelligence in a number of ways. We review several such models, and show how these models emphasize different aspects of the interactions between emotion and behavior. These recent developments are placed in the context of earlier approaches, ranging from those derived from symbolic logic, through statistical models, to the more recent interest in embodied agents. We present evidence that significant deficiencies of these approaches may be overcome through the use of suitable emotion-based models.
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Palensky, B., Barnard, E. (2009). Session 1. In: Dietrich, D., Fodor, G., Zucker, G., Bruckner, D. (eds) Simulating the Mind. Springer, Vienna. https://doi.org/10.1007/978-3-211-09451-8_5
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