Can a rational agent afford to be affectless? a formal approach
| Autor: | Piotr J. Gmytrasiewicz, Christine L. Lisetti |
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| Rok vydání: | 2002 |
| Předmět: |
Cognitive science
Scheme (programming language) Knowledge representation and reasoning business.industry Computer science Probabilistic logic Rationality Rational agent computer.software_genre Variety (cybernetics) Human system Intelligent agent Artificial Intelligence Artificial intelligence business computer computer.programming_language |
| Zdroj: | Applied Artificial Intelligence. 16:577-609 |
| ISSN: | 1087-6545 0883-9514 |
| Popis: | In this article, we expose some of the issues raised by the critics of the neoclassical approach to rational agent modeling and we propose a formal approach for the design of artificial rational agents that includes some of the functions of emotions found in the human system. We suggest that emotions and rationality are closely linked in the human mind (and in the body, for that matter) and, therefore, need to be included in architectures for designing rational artificial agents, whether these agents are to interact with humans, to model humans' behaviors and actions, or both. We describe an Affective Knowledge Representation (AKR) scheme to represent emotion schemata, which we developed to guide the design of a variety of socially intelligent artificial agents. Our approach focuses on the notion of "social expertise" of socially intelligent agents in terms of their external behavior and internal motivational goal-based abilities. AKR, which uses probabilistic frames, is derived from combining multiple em... |
| Databáze: | OpenAIRE |
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