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|Title:||CAPIR: Collaborative action planning with intention recognition||Authors:||Nguyen, T.-H.D.
|Issue Date:||2011||Citation:||Nguyen, T.-H.D.,Hsu, D.,Lee, W.-S.,Leong, T.-Y.,Kaelbling, L.P.,Lozano-Perez, T.,Grant, A.H. (2011). CAPIR: Collaborative action planning with intention recognition. Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011 : 61-66. ScholarBank@NUS Repository.||Abstract:||We apply decision theoretic techniques to construct nonplayer characters that are able to assist a human player in collaborative games. The method is based on solving Markov decision processes, which can be difficult when the game state is described by many variables. To scale to more complex games, the method allows decomposition of a game task into subtasks, each of which can be modelled by a Markov decision process. Intention recognition is used to infer the subtask that the human is currently performing, allowing the helper to assist the human in performing the correct task. Experiments show that the method can be effective, giving nearhuman level performance in helping a human in a collaborative game. Copyright © 2011, Association for the Advancement of Artificial.||Source Title:||Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011||URI:||http://scholarbank.nus.edu.sg/handle/10635/78055||ISBN:||9781577355397|
|Appears in Collections:||Staff Publications|
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