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- W1551334865 abstract "This research involves the integration of reactivity into a classical planner. Reactivity is necessary if a system is to deal with the dynamic real world, but a priori planning is also necessary for goal-directedness. A system has been implemented which incorporates explanation-based learning strategies in learning reactive operators, enabling the use of current classical planning techniques in creating partially-specified plans, completed during execution when the information necessary for resolving deferred decisions becomes available. The notion of “provably correct”plans in classical planning is preserved through contingent explanations and associated achievability conditions which guarantee the eventual achievement of deferred goals." @default.
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- W1551334865 date "1989-01-01" @default.
- W1551334865 modified "2023-09-26" @default.
- W1551334865 title "EXPLANATION-BASED LEARNING OF REACTIVE OPERATORS" @default.
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- W1551334865 doi "https://doi.org/10.1016/b978-1-55860-036-2.50072-2" @default.
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