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One of the most common modifications made to the standard STRIPS action representation is the inclusion of filter conditions. A key function of such filter conditions is to distinguish between operators that represent different context-dependent effects for the same action. We consider how filter conditions may be used to provide this functionality in a(More)
A fundamental assumption made by classical AI planners is that there is no uncertainty in the world: the planner has full knowledge of the conditions under which the plan will be executed and the outcome of every action is fully predictable. These planners cannot therefore construct contingency plans, i.e., plans in which diierent actions are performed in(More)
1 Chicken and water chestnuts A case-based planner devises new plans by retrieving and adapting old ones from memory (see, e. Ideally, the plan it retrieves from memory should be one that requires the least adaptation to t the current circumstances. Finding this plan in a cost-eeective way is thus a key issue in case-based reasoning (see, e. The approach(More)
We have developed a model-based approach to learning from plan failures in which an agent uses a model of itself to determine where in its planning or execution the cause of a failure lies. We believe that such an approach constitutes the most promising basis for developing learning models that are capable of deciding for themselves what needs to be learned(More)