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Volumn 16, Issue 6, 2007, Pages 981-999

Modeling and augmenting game entertainment through challenge and curiosity

Author keywords

Artificial neural networks; Computer games; Entertainment modeling; Mixed reality games

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; LEARNING SYSTEMS; ONLINE SYSTEMS; OPTIMIZATION; REAL TIME SYSTEMS;

EID: 37249077519     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213007003667     Document Type: Conference Paper
Times cited : (26)

References (34)
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  • 11
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    • Georgios N. Yannakakis and John Hallam. A Generic Approach for Obtaining Higher Entertainment in Predator/Prey Computer Games. Journal of Game Development, 1(3):23-50, December 2005.
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    • Yannakakis, G.N.1    Hallam, J.2
  • 12
    • 33745834345 scopus 로고    scopus 로고
    • Towards Capturing and Enhancing Entertainment in Computer Games
    • th Hellenic Conference on Artificial Intelligence, Heraklion, Greece, May, Springer-Verlag
    • th Hellenic Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, volume 3955, pages 432-442, Heraklion, Greece, May 2006. Springer-Verlag.
    • (2006) Lecture Notes in Artificial Intelligence , vol.3955 , pp. 432-442
    • Yannakakis, G.N.1    Hallam, J.2
  • 13
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    • Playware - intelligent technology for children's play
    • Technical Report TR-2005-1, Maersk Institute For Production Technology, University of Southern Denmark, June
    • Henrik Hautop Lund and C. Jessen. Playware - intelligent technology for children's play. Technical Report TR-2005-1, Maersk Institute For Production Technology, University of Southern Denmark, June 2005.
    • (2005)
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    • GameFlow: A Model for Evaluating Player Enjoyment in Games
    • July
    • Penelope Sweetser and Peta Wyeth. GameFlow: A Model for Evaluating Player Enjoyment in Games. ACM Computers in Entertainment, 3(3), July 2005.
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    • Why we play games: Four keys to more emotion without story
    • Technical report, XEO Design Inc
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    • Lazzaro, N.1
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    • An adaptive methodology for synthesising Mobile Phone Games using Genetic Algorithms
    • Edinburgh, UK, September
    • Milan A. Verma and Peter W. McOwan. An adaptive methodology for synthesising Mobile Phone Games using Genetic Algorithms. In Congress on Evolutionary Computation (CEC-05), pages 528-535, Edinburgh, UK, September 2005.
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    • Verma, M.A.1    McOwan, P.W.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.