Automated Planning And Acting
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Automated Planning And Acting
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Author : Malik Ghallab
language : en
Publisher: Cambridge University Press
Release Date : 2016-08-09
Automated Planning And Acting written by Malik Ghallab and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-09 with Computers categories.
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Automated Planning
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Author : Malik Ghallab
language : en
Publisher: Elsevier
Release Date : 2004-05-03
Automated Planning written by Malik Ghallab and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-03 with Business & Economics categories.
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Automated Planning And Scheduling
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-06
Automated Planning And Scheduling written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Computers categories.
What Is Automated Planning and Scheduling Automated planning and scheduling is a subfield of artificial intelligence that focuses on the formulation of strategies or action sequences, often for the purpose of being carried out by intelligent agents, autonomous robots, and unmanned vehicles. Automated planning and scheduling is sometimes referred to as simply AI planning at times. In contrast to traditional control and classification problems, these problems have complicated solutions that need to be discovered and optimized in multidimensional space. Planning is closely connected to the philosophy of decision-making. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Automated planning and scheduling Chapter 2: Applications of artificial intelligence Chapter 3: Actor model Chapter 4: Scheduling (computing) Chapter 5: Constraint satisfaction problem Chapter 6: Action description language Chapter 7: Strategy (game theory) Chapter 8: Reactive planning Chapter 9: Backward chaining Chapter 10: Forward chaining (II) Answering the public top questions about automated planning and scheduling. (III) Real world examples for the usage of automated planning and scheduling in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automated planning and scheduling' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automated planning and scheduling.
A Concise Introduction To Models And Methods For Automated Planning
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Author : Hector Geffner
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2013-06-01
A Concise Introduction To Models And Methods For Automated Planning written by Hector Geffner and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-01 with Computers categories.
Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography
Planning Algorithms
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Author : Steven M. LaValle
language : en
Publisher: Cambridge University Press
Release Date : 2006-05-29
Planning Algorithms written by Steven M. LaValle and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-29 with Computers categories.
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms. The treatment is centered on robot motion planning, but integrates material on planning in discrete spaces. A major part of the book is devoted to planning under uncertainty, including decision theory, Markov decision processes, and information spaces, which are the 'configuration spaces' of all sensor-based planning problems. The last part of the book delves into planning under differential constraints that arise when automating the motions of virtually any mechanical system. This text and reference is intended for students, engineers, and researchers in robotics, artificial intelligence, and control theory as well as computer graphics, algorithms, and computational biology.
A Concise Introduction To Models And Methods For Automated Planning
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Author : Hector Radanovic
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
A Concise Introduction To Models And Methods For Automated Planning written by Hector Radanovic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography
Intelligent Techniques For Planning
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Author : Ioannis Vlahavas
language : en
Publisher: IGI Global
Release Date : 2005-01-01
Intelligent Techniques For Planning written by Ioannis Vlahavas and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Business & Economics categories.
The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, methods from knowledge systems for more expressive representation of knowledge and ideas from other areas such as Intelligent Agents. Apart from the thorough analysis and implementation details, each chapter of the book also provides extensive background information about its subject and presents and comments on similar approaches done in the past.
Automated Planning Theory And Practice
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Author : Malik Ghallab
language : en
Publisher:
Release Date : 2005
Automated Planning Theory And Practice written by Malik Ghallab and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Production planning categories.
Artificial Intelligence
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Author : Stuart Russell
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-09-10
Artificial Intelligence written by Stuart Russell and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-10 with categories.
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Behavior Trees In Robotics And Ai
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Author : Michele Colledanchise
language : en
Publisher: CRC Press
Release Date : 2018-07-20
Behavior Trees In Robotics And Ai written by Michele Colledanchise and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Computers categories.
Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.