Optimal Planning with Expressive Action Languages as Constraint Optimization

LOGICS IN ARTIFICIAL INTELLIGENCE, JELIA 2023(2023)

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摘要
We consider the problem of optimal planning in deterministic domains specified with expressive action languages. We show how it is possible to reduce such problem to finding an optimal solution of a constraint optimization problem incorporating a bound n on the maximum length of the plan. By solving the latter, we can conclude whether (i) the plan found is optimal even for bounds greater than n; or (ii) we need to increase n; or (iii) it is useless to increase n since the planning problem has no solution.
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