Abstract
In this paper, we present an approach of temporal probabilistic task planning. Each task has a set of temporal constraints, a set of probabilities and a set of constant costs. Tasks are connected in an acyclic AND/OR Graph. Our planner constructs a plan formed by a subset of tasks chosen to be executed in order to achieve some goals, satisfy all constraints and has a high probability of execution during a minimal total time and with a reduced cost. This approach is one of the first techniques combining probability and time in planning using an AND/OR graph.
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Baki, B., Bouzid, M. (2005). Scheduling with Probability and Temporal Constraints. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_15
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DOI: https://doi.org/10.1007/11558590_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29041-4
Online ISBN: 978-3-540-31733-3
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