Author : Malik Ghallab
Publisher : Cambridge University Press
Page : 373 pages
File Size : 48,22 MB
Release : 2016-08-09
Category : Computers
ISBN : 1107037271
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Author : Malik Ghallab
Publisher : Elsevier
Page : 665 pages
File Size : 33,44 MB
Release : 2004-05-03
Category : Business & Economics
ISBN : 1558608567
Publisher Description
Author : Malik Ghallab
Publisher : Elsevier
Page : 664 pages
File Size : 27,97 MB
Release : 2004-05-21
Category : Computers
ISBN : 0080490514
Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge. These real-world applications create new opportunities for synergy between theory and practice: observing what works well in practice leads to better theories of planning, and better theories lead to better performance of practical applications. Automated Planning mirrors this dialogue by offering a comprehensive, up-to-date resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking. The authors combine over 30 years experience in planning research and development to offer an invaluable text to researchers, professionals, and graduate students. Provides a thorough understanding of AI planning theory and practice, and how they relate to each other Covers all the contemporary topics of planning, as well as important practical applications of planning, such as model checking and game playing Presents case studies and applications in planning engineering, space, robotics, CAD/CAM, process control, emergency operations, and games Provides lecture notes, examples of programming assignments, pointers to downloadable planning systems and related information online
Author : Hector Radanovic
Publisher : Springer Nature
Page : 132 pages
File Size : 50,74 MB
Release : 2022-05-31
Category : Computers
ISBN : 3031015649
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
Author : A. Sima Uyar
Publisher : Springer
Page : 311 pages
File Size : 24,64 MB
Release : 2013-07-12
Category : Technology & Engineering
ISBN : 3642393047
Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques.The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling. Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.
Author : Malik Ghallab
Publisher : Cambridge University Press
Page : 373 pages
File Size : 42,53 MB
Release : 2016-08-09
Category : Computers
ISBN : 1316720551
Autonomous AI systems need complex computational techniques for planning and performing actions. Planning and acting require significant deliberation because an intelligent system must coordinate and integrate these activities in order to act effectively in the real world. This book presents a comprehensive paradigm of planning and acting using the most recent and advanced automated-planning techniques. It explains the computational deliberation capabilities that allow an actor, whether physical or virtual, to reason about its actions, choose them, organize them purposefully, and act deliberately to achieve an objective. Useful for students, practitioners, and researchers, this book covers state-of-the-art planning techniques, acting techniques, and their integration which will allow readers to design intelligent systems that are able to act effectively in the real world.
Author : Hector Geffner
Publisher : Morgan & Claypool Publishers
Page : 143 pages
File Size : 39,69 MB
Release : 2013-06-01
Category : Computers
ISBN : 1608459705
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
Author : Steven M. LaValle
Publisher : Cambridge University Press
Page : 844 pages
File Size : 22,23 MB
Release : 2006-05-29
Category : Computers
ISBN : 9780521862059
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. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.
Author : Tien-Chien Chang
Publisher : Prentice Hall
Page : 246 pages
File Size : 19,3 MB
Release : 1985
Category : Business & Economics
ISBN :
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 142 pages
File Size : 43,41 MB
Release : 2023-07-06
Category : Computers
ISBN :
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.
