2026-03-08T08:17:58Z https://kanazawa-u.repo.nii.ac.jp/oai

oai:kanazawa-u.repo.nii.ac.jp:00008119 2024-06-20T06:16:24Z 934:935:936

Adaptive self-feeding natural language generator engine Rebolledo Méndez, Jovan David ナカヤマ, ケンジ 00207945 Nakayama, Kenji 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. © 2008 Springer-Verlag Berlin Heidelberg. 金沢大学理工研究域　電子情報学系 Springer Verlag 2008-09-01 eng conference paper AM http://hdl.handle.net/2297/18077 https://kanazawa-u.repo.nii.ac.jp/records/8119 10.1007/978-3-540-85483-8_75 AA0071599X 0302-9743 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5208 LNAI 2008 533 534 https://kanazawa-u.repo.nii.ac.jp/record/8119/files/TE-PR-NAKAYAMA-K-533.pdf application/pdf 176.3 kB 2017-10-03