Controlling the emotional state of an embodied conversationalagent with a dynamic probabilistic fuzzy rules based system
| Autor: | Juan Castro, Víctor López, Eduardo M. Eisman |
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| Rok vydání: | 2009 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject General Engineering Probabilistic logic Stability (learning theory) computer.software_genre Fuzzy logic Computer Science Applications Domain (software engineering) Embodied agent Artificial Intelligence Embodied cognition Personality Artificial intelligence Dialog system Automatic behavior business computer media_common |
| Zdroj: | Expert Systems with Applications. 36:9698-9708 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2009.02.015 |
| Popis: | This paper presents an innovatory system for controlling the emotional state of an embodied conversational agent. Unlike other existing models, our system is fast adaptable to different application domains and it is highly interpretable. This will provide specialists with a tool to easily test their hypotheses about the most suitable emotional attitude for an agent in a specific domain. It also provides emotional stability and dynamic and automatic behavior orientation, which will result in the design of more believable conversational agents that behave as humans do. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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