Abstract
In AI planning, given the initial state, the goal state and a set of actions, a solution of the problem is a sequence of actions which takes the initial state to the goal state, i.e. a plan. The field has been studied and significantly improved since the past few years. Many state of the art planning systems, such as Graphplan, FF, GP-CSP, TGP, TPSYS, TP4, TLPlan, STAN, LPGP, have shown their good performance on different planning domains. Scientists continue studying to deal with bigger and more complex planning domains which include the explicit modelling of time, resources.
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Blum, L., Furst, M.L.: Fast planning through Planning Graph Analysis. Artificial Intelligence 90, 281–300 (1997)
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© 2004 Springer-Verlag Berlin Heidelberg
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Dinh, T.B. (2004). Solution Extraction with the “Critical Path” in Graphplan-Based Optimal Temporal Planning. In: Wallace, M. (eds) Principles and Practice of Constraint Programming – CP 2004. CP 2004. Lecture Notes in Computer Science, vol 3258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30201-8_72
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DOI: https://doi.org/10.1007/978-3-540-30201-8_72
Publisher Name: Springer, Berlin, Heidelberg
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