By James Hendler
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Additional resources for Artificial Intelligence Planning Systems. Proceedings of the First Conference (AIPS 92)
In Reasoning about Actions and Plans: Proc. of the 1986 Workshop, pages 189-211, Timberline, Oregon. Nevertheless, many successful planning systems attest to the fact that planning is indeed possible and practical for many domains. What then accounts for the large gap between the theoretical hardness of planning and its practical application? I believe that a large part of the answer is that the complexity analyses only consider properties of planning problems that are domainindependent, and so have some chance of being generally applicable.
If it is a heavy rock, the odds are better than even that it'll land in the water. There is also at least a 20% chance that it lands on the opposite shore, and at least a 10% probability that I'll drop it without launching it at all. On the other hand, if it turns out to be light weight, the odds are better than even that it will land on the opposite shore, with absolutely no chance of accidentally dropping it and at least a 10% chance that it lands in the water. 2 This assignment coincides with intuition since the resulting Bel and Pis correctly bound the possible probability distributions.
Stanford University Press, 1962. [Halpern and Fagin, 1990] Joseph Y. Halpern and Ronald Fagin. Two views of belief: Belief as generalized probability and belief as evidence. In Eighth National Conference on Artificial Intelligence, July 1990. A long version appears as IBM-TR-RJ-7221, 12/18/89. [Hanks, 1990] Steve Hanks. Practical temporal projection. In Eighth National Conference on Artificial Intelligence, July 1990. [Kanazawa and Dean, 1989] Keiji Kanazawa and Thomas Dean. A model for projection and action.