Adaptive Self-feeding Natural Language Generator Engine

Authors:
Jovan David Rebolledo Méndez;Kenji Nakayama
Affiliations:
Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa-shi, Japan 920-1192;Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa-shi, Japan 920-1192
Venue:
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Year:
2008

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Abstract

A Natural Language Generation (NLG) engine is proposed based on the combination of NLG and Expert Systems. The combination of these techniques paves the way to employ user defined behaviors in virtual worlds as inputs to an expert system. Adaptive Algorithms can then be used to retrieve information from the Internet to give feedback to the user via the NLG engine. The combination of these AI techniques can bring about some benefits such as believability in the interaction between AI-driven and human-driven avatars in virtual worlds.