An Experimental Study of Influence of Modeling and Solving Techniques on Performance of Planning

What is it about?

Planning is about finding a sequence of actions to reach a goal. Most planning research focuses on general so called domain-independent planning algorithms that assume a model of the planning domain to be given as input. The paper argues that a proper model of the planing domain is crucial for efficiency of planning. We present several modeling techniques and we compare experimentally their efficiency to demonstrate importance of domain modeling.

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Why is it important?

By using a proper model of the planning domain we may increase significantly efficiency of planning and hence it is important to understand which information should be included in the model.