Planning for conjunctive goals
Artificial Intelligence
Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
O-Plan: the open planning architecture
Artificial Intelligence
Artificial Intelligence
Efficient memory-bounded search methods
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Partial-order planning: evaluating possible efficiency gains
Artificial Intelligence
Multi-contributor causal structures for planning: a formalization and evaluation
Artificial Intelligence
Least-cost flaw repair: a plan refinement strategy for partial-order planning
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
A Computer Model of Skill Acquisition
A Computer Model of Skill Acquisition
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The field of AI planning has become increasingly concerned with questions of evaluation. The papers in this special issue represent several different approaches to evaluation. The first two papers present detailed analytic and experimental comparisons of particular plan generation algorithms ("planners", for short). The third and fourth papers develop formalisms for categorizing planners and the plans they produce; these formalisms are intended to provide a vocabulary for further comparative work that can bridge the gap between formal planning research and planning applications. Finally, the fifth paper argues that planners and plans can only be evaluated in the context of the planning agents that execute the plans, and presents a decision-theoretic approach to evaluating planning agents.