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Intelligent Agents with Personality: From Adjectives to Behavioral Schemes
Abstract
Conversational agents are a promising interface between humans and computers, but to be acceptable as the virtual humans they pretend to be, they need to be given one of the key elements used to define human beings: a personality. As existing personality taxonomies have been defined only for description, the authors present in this chapter a methodology dedicated to the definition of a computationally-oriented taxonomy, in order to use it to implement personality traits in conversational agents. First, a significant set of personality-traits adjectives is registered from thesaurus sources. Then, the lexical semantics related to personality-traits is extracted while using the WordNet database, and it is given a formal representation in terms of so-called Behavioral Schemes. Finally, the authors propose a framework for the implementation of those schemes as influence operators controlling the decision process and the plan/action scheduling of a rational agent.
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