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2000 Volume 15
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RESEARCH ARTICLE   Open Access    

Applying integer programming to AI planning

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  • Despite the historical difference in focus between AI planning techniques and Integer Programming (IP) techniques, recent research has shown that IP techniques show significant promise in their ability to solve AI planning problems. This paper provides approaches to encode AI planning problems as IP problems, describes some of the more significant issues that arise in using IP for AI planning, and discusses promising directions for future research.
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    THOMAS VOSSEN, MICHAEL BALL, AMNON LOTEM, DANA NAU. 2000. Applying integer programming to AI planning. The Knowledge Engineering Review 15(1)85−100, doi: 10.1017/S0269888900001065
    THOMAS VOSSEN, MICHAEL BALL, AMNON LOTEM, DANA NAU. 2000. Applying integer programming to AI planning. The Knowledge Engineering Review 15(1)85−100, doi: 10.1017/S0269888900001065
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RESEARCH ARTICLE   Open Access    

Applying integer programming to AI planning

  • Published online: 06 March 2012
The Knowledge Engineering Review  15,  2000, 15(1): 85−100  |  Cite this article

Abstract: Despite the historical difference in focus between AI planning techniques and Integer Programming (IP) techniques, recent research has shown that IP techniques show significant promise in their ability to solve AI planning problems. This paper provides approaches to encode AI planning problems as IP problems, describes some of the more significant issues that arise in using IP for AI planning, and discusses promising directions for future research.

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    Cite this article
    THOMAS VOSSEN, MICHAEL BALL, AMNON LOTEM, DANA NAU. 2000. Applying integer programming to AI planning. The Knowledge Engineering Review 15(1)85−100, doi: 10.1017/S0269888900001065
    THOMAS VOSSEN, MICHAEL BALL, AMNON LOTEM, DANA NAU. 2000. Applying integer programming to AI planning. The Knowledge Engineering Review 15(1)85−100, doi: 10.1017/S0269888900001065
    shu

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