by David R. Traum, Universite De Geneve
In Proceedings of the Twente Workshop on Langauge Technology: Dialogue Management in Natural Language Systems (TWLT
http://www.ict.usc.edu/~traum/Papers/twente.ps
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Abstract:
Designing an agent to participate in natural conversation requires more than just adapting a standard agent model to perceive and produce language. In particular, the model must be augmented with social attitudes (including mutual belief, shared plans, and obligations) and a notion of discourse context. The dialogue manager of the TRAINS-93 NL conversation system embodies such an augmented theory of agency. This paper focuses on the representation of mental state and discourse context and the deliberation strategies used in the agent model of the dialogue manager. 1
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