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Reformulation of Temporal Constraint Networks

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Abstraction, Reformulation, and Approximation (SARA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2371))

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Abstract

The focus of our research is the design and evaluation of new reformulation techniques for temporal constraint networks. The general temporal constraint satisfaction problem (TCSP) is NP-hard [2]. Although a simplified version of it, the simple temporal problem (STP), is tractable [2], techniques are being sought to further reduce the computational effort needed in practice in order to handle time critical conditions. One example is planning of the activities of an autonomous remote agent where some desirable properties such as dispatchability can be guaranteed.

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References

  1. Christian Bliek and Djamilla Sam-Haroud. Path Consistency for Triangulated Constraint Graphs. In Proc. of the 16 th IJCAI, pages 456–461, Stockholm, Sweden, 1999.

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  2. Rina Dechter, Itay Meiri, and Judea Pearl. Temporal Constraint Networks. Artificial Intelligence, 49:61–95, 1991.

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  3. Eugene C. Freuder. A Sufficient Condition for Backtrack-Bounded Search. JACM, 32(4):755–761, 1985.

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© 2002 Springer-Verlag Berlin Heidelberg

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Xu, L. (2002). Reformulation of Temporal Constraint Networks. In: Koenig, S., Holte, R.C. (eds) Abstraction, Reformulation, and Approximation. SARA 2002. Lecture Notes in Computer Science(), vol 2371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45622-8_39

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  • DOI: https://doi.org/10.1007/3-540-45622-8_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43941-7

  • Online ISBN: 978-3-540-45622-3

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