9783031004568 - an introduction to the planning domain definition language (synthesis lectures on artificial intelligence and machine learning) de haslum, patrik; lipovetzky, nir; magazzeni, daniele; muise, christian (19 resultados)
Introduction to the Planning Domain Definition Language
Kulkarni, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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Introduction to the Planning Domain Definition Language
Kulkarni, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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An Introduction to the Planning Domain Definition Language
Nir Lipovetzky, Daniele Magazzeni, Christian Muise, Patrik Haslum
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Paperback. Condición: New. 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 th…e 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.
An Introduction to the Planning Domain Definition Language (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Haslum, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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Introduction to the Planning Domain Definition Language
Kulkarni, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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Introduction to the Planning Domain Definition Language
Kulkarni, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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An Introduction to the Planning Domain Definition Language (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Haslum, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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An Introduction to the Planning Domain Definition Language
Nir Lipovetzky, Daniele Magazzeni, Christian Muise, Patrik Haslum
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Paperback. Condición: New. 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 th…e 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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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 planni…ng 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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Taschenbuch. Condición: Neu. An Introduction to the Planning Domain Definition Language | Patrik Haslum (u. a.) | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xvii | Englisch | 2019 | Springer | EAN 9783031004568 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6…9121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 188 pp. Englisch.
An Introduction to the Planning Domain Definition Language (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Haslum, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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An Introduction to the Planning Domain Definition Language (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Haslum, Patrik; Lipovetzky, Nir; Magazzeni, Daniele; Muise, Christian
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An Introduction to the Planning Domain Definition Language
Patrik Haslum|Nir Lipovetzky|Daniele Magazzeni|Christian Muise
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Patrik Haslum received his Ph.D. in computer science from Linkoping University in 2006, and he is currently at the Australian National University in Canberra. His main area of research is AI planning, with a focus on…problem modelling and bridging planning .
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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-bas…ed: 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
