Planning with a Language for Extended Goals

Ugo Dal Lago, Marco Pistore, and Paolo Traverso, ITC-IRST

Planning for extended goals in non-deterministic domains is one of the most significant and challenging planning problems. In spite of the recent results in this field, no work has proposed a language designed specifically for planning. As a consequence, it is still impossible to specify and plan for several classes of goals that are typical of real world applications, like for instance "try to achieve a goal whenever possible," or "if you fail to achieve a goal, recover by trying to achieve something else." We propose a new goal language that allows for capturing the intended meaning of these goals. We give a semantics to this language that is radically different from the usual semantics for extended goals, e.g., the semantics for LTL or CTL. Finally, we implement an algorithm for planning for extended goals expressed in this language, and experiment with it on a parametric domain.


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