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2016 Volume 31
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RESEARCH ARTICLE   Open Access    

Introduction to the special issue on constraint satisfaction for planning and scheduling

  • 1.

    Universitat Politecnica de Valencia

  • 2.

    Charles University

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  • Abstract: The areas of Artificial Intelligence planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially, solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques. Constraint satisfaction plays an important role in solving such real life problems, and integrated techniques that manage planning and scheduling with constraint satisfaction are particularly useful.
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    Miguel A. Salido, Roman Barták. 2016. Introduction to the special issue on constraint satisfaction for planning and scheduling. The Knowledge Engineering Review 31(5)415−416, doi: 10.1017/S0269888917000017
    Miguel A. Salido, Roman Barták. 2016. Introduction to the special issue on constraint satisfaction for planning and scheduling. The Knowledge Engineering Review 31(5)415−416, doi: 10.1017/S0269888917000017
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RESEARCH ARTICLE   Open Access    

Introduction to the special issue on constraint satisfaction for planning and scheduling

  • 1.

    Universitat Politecnica de Valencia

  • 2.

    Charles University

  • Published online: 22 February 2017
The Knowledge Engineering Review  31,  2016, 31(5): 415−416  |  Cite this article

Abstract: Abstract: The areas of Artificial Intelligence planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially, solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques. Constraint satisfaction plays an important role in solving such real life problems, and integrated techniques that manage planning and scheduling with constraint satisfaction are particularly useful.

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    Acknowledgments

    • The editors of this special issue would like to thank all the authors for their interesting contributions and to the reviewers of the papers for their effort when providing valuable feedback to authors. Our special thanks go to Simon Parsons, co-editor of The Knowledge Engineering Review, for his support and help to make this special issue a reality.

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    Cite this article
    Miguel A. Salido, Roman Barták. 2016. Introduction to the special issue on constraint satisfaction for planning and scheduling. The Knowledge Engineering Review 31(5)415−416, doi: 10.1017/S0269888917000017
    Miguel A. Salido, Roman Barták. 2016. Introduction to the special issue on constraint satisfaction for planning and scheduling. The Knowledge Engineering Review 31(5)415−416, doi: 10.1017/S0269888917000017
    shu

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