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Volumn 226, Issue , 2008, Pages 293-310

Learning from demonstration and case-based planning for real-time strategy games

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EID: 39449135585     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-77465-5_15     Document Type: Article
Times cited : (28)

References (21)
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  • 2
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    • Allen, F.1
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    • M.: Real-time Strategy Games: A New {AI} Research Challenge
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  • 8
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    • Fikes, R., Nilsson, N.: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. Artificial Intelligence 2(3/4), 189-208 (1971)
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    • Freßmann, A., et al.: CBR- based Execution and Planning Support for Collaborative Work-flows. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 271-280. Springer, Heidelberg (2005)
    • (2005) LNCS (LNAI , vol.3620 , pp. 271-280
    • Freßmann, A.1
  • 10
    • 0000138396 scopus 로고
    • Case Based Planning: A Framework for Planning from Experience
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  • 11
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    • Hierarchical Plan Representations for Encoding Strategic Game AI
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  • 14
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    • On the Role of Explanation for Hierarchical Case-Based Planning in Real-Time Strategy Games
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    • Muñoz-Avila, H., Aha, D.: On the Role of Explanation for Hierarchical Case-Based Planning in Real-Time Strategy Games. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, Springer, Heidelberg (2004)
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    • Muñoz-Avila, H.1    Aha, D.2
  • 15
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    • Myers, K.: CPEF: A Continuous Planning and Execution Framework. Artificial Intelligence Magazine 20(4), 63-69 (1999)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.