Nir Lipovetzky's Books

An Introduction to the Planning Domain Definition Language

By: Patrik Kulkarni,Nir Nir Lipovetzky,Daniele Daniele Magazzeni,Christian Christian Muise

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An Introduction to the Planning Domain Definition Language

By: Patrik Kulkarni,Nir Nir Lipovetzky,Daniele Daniele Magazzeni,Christian Christian Muise

Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.

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Page Count

169

Publisher

Springer Nature

Published Date

ISBN 10

3031015843

ISBN 13

9783031015847

Structure and Inference in Classical Planning

By: Nir Lipovetzky

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Structure and Inference in Classical Planning

By: Nir Lipovetzky

Classical planning is the problem of finding a sequence of actions for achieving a goal from an initial state assuming that actions have deterministic effects. The most effective approach for finding such plans is based on heuristic search guided by heuristics extracted automatically from the problem representation. In this thesis, we introduce alternative approaches for performing inference over the structure of planning problems that do not appeal to heuristic functions, nor to reductions to other formalisms such as SAT or CSP. We show that many of the standard benchmark domains can be solved with almost no search or a polynomially bounded amount of search, once the structure of planning problems is taken into account. In certain cases we can characterize this structure in terms of a novel width parameter for classical planning.

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Page Count

180

Publisher

Lulu.com

Published Date

ISBN 10

1312466219

ISBN 13

9781312466210

An Introduction to the Planning Domain Definition Language

By: Patrik Haslum,Nir Lipovetzky,Daniele Magazzeni,Christian Muise

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An Introduction to the Planning Domain Definition Language

By: Patrik Haslum,Nir Lipovetzky,Daniele Magazzeni,Christian Muise

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Page Count

189

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1627057374

ISBN 13

9781627057370

Book's by Nir Lipovetzky

An Introduction to the Planning Domain Definition Language

An Introduction to the Planning Domain Definition Language

Structure and Inference in Classical Planning

Structure and Inference in Classical Planning

An Introduction to the Planning Domain Definition Language

An Introduction to the Planning Domain Definition Language

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