Learning personal agents with adaptive player modeling in virtual worlds

There has been growing interest in creating intelligent agents in virtual worlds that do not follow fixed scripts predefined by the developers, but react accordingly based on actions performed by human players during their interaction. In order to achieve this objective, previous approaches have att...

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Bibliographic Details
Main Authors: KANG, Yilin, TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6665
https://ink.library.smu.edu.sg/context/sis_research/article/7668/viewcontent/Player_Model_IAT_2010.pdf
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Institution: Singapore Management University
Language: English