
Automated Generation of New Concepts from General Game Playing
Sato, Yuichiro; Cazenave, Tristan (2014), Automated Generation of New Concepts from General Game Playing, in Cazenave, Tristan; Winands, Mark H.M.; Iida, Hiroyuki, Computer Games. Workshop on Computer Games, CGW 2013, Held in Conjunction with the 23rd International Conference on Artificial Intelligence, IJCAI 2013, Beijing, China, August 3, 2013, Revised Selected Papers, Springer : Berlin, p. 71-80. 10.1007/978-3-319-05428-5_6
View/ Open
Type
Communication / ConférenceDate
2014Conference title
Workshop on Computer Games, CGW 2013Conference date
2013-08Conference city
BeijingConference country
ChinaBook title
Computer Games. Workshop on Computer Games, CGW 2013, Held in Conjunction with the 23rd International Conference on Artificial Intelligence, IJCAI 2013, Beijing, China, August 3, 2013, Revised Selected PapersBook author
Cazenave, Tristan; Winands, Mark H.M.; Iida, HiroyukiPublisher
Springer
Series title
Communications in Computer and Information ScienceSeries number
408Published in
Berlin
ISBN
978-3-319-05427-8
Number of pages
133Pages
71-80
Publication identifier
Metadata
Show full item recordAuthor(s)
Sato, YuichiroHuman Information Processing Laboratory - Japanese Advances Institute of Science and Technology [Ishikawa] [HIP/JAIST]
Cazenave, Tristan
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
In this paper, we propose algorithms to extract explicit concepts from general games and these concepts are useful to understand semantics of games using General Game Playing as a research domain. General Game Playing is a research domain to invent game players which are able to play general games without any human intervention. There are many approaches to General Game Playing, for example, UCT, Neural Network, and Simulation-based approaches. Successful knowledge acquisition is reported in these approaches. However, generated knowledge is not explicit in conventional methods. We extract explicit concepts from heuristic functions obtained using a simulation based approach. Concepts to understand the semantics of Tic-tac-toe are generated by our approach. These concepts are also available to understand the semantics of Connect Four. We conclude that our approach is applicable to general games and is able to extract explicit concepts which are able to be understood by humans.Subjects / Keywords
General Game PlayingRelated items
Showing items related by title and author.
-
Méhat, Jean; Cazenave, Tristan (2010) Article accepté pour publication ou publié
-
Cazenave, Tristan; Méhat, Jean (2010) Communication / Conférence
-
Sironi, Chiara; Cazenave, Tristan; Winands, Mark (2021) Communication / Conférence
-
Méhat, Jean; Cazenave, Tristan (2011) Article accepté pour publication ou publié
-
Saffidine, Abdallah; Cazenave, Tristan (2012) Communication / Conférence