Automated Planning and Acting

Automated Planning and Acting
Author: Malik Ghallab
Publisher: Cambridge University Press
Total Pages: 373
Release: 2016-08-09
Genre: Computers
ISBN: 1316720551
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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.

Automated Planning and Acting

Automated Planning and Acting
Author: Malik Ghallab
Publisher: Cambridge University Press
Total Pages: 373
Release: 2016-08-09
Genre: Computers
ISBN: 1107037271
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This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.

Automated Planning

Automated Planning
Author: Malik Ghallab
Publisher: Elsevier
Total Pages: 665
Release: 2004-05-03
Genre: Business & Economics
ISBN: 1558608567
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Publisher Description

Planning Algorithms

Planning Algorithms
Author: Steven M. LaValle
Publisher: Cambridge University Press
Total Pages: 844
Release: 2006-05-29
Genre: Computers
ISBN: 9780521862059
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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.

Automated Planning and Scheduling

Automated Planning and Scheduling
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Total Pages: 142
Release: 2023-07-06
Genre: Computers
ISBN:
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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.

Artificial Intelligence

Artificial Intelligence
Author: Stuart Russell
Publisher: Createspace Independent Publishing Platform
Total Pages: 626
Release: 2016-09-10
Genre:
ISBN: 9781537600314
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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.

A Concise Introduction to Models and Methods for Automated Planning

A Concise Introduction to Models and Methods for Automated Planning
Author: Hector Radanovic
Publisher: Springer Nature
Total Pages: 132
Release: 2022-05-31
Genre: Computers
ISBN: 3031015649
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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

A Concise Introduction to Models and Methods for Automated Planning

A Concise Introduction to Models and Methods for Automated Planning
Author: Hector Geffner
Publisher:
Total Pages: 129
Release: 2013
Genre: Computers
ISBN: 9781608459698
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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

New Directions in AI Planning

New Directions in AI Planning
Author: Malik Ghallab
Publisher:
Total Pages: 422
Release: 1996
Genre: Artificial intelligence
ISBN: 9784274900648
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Knowledge Engineering Tools and Techniques for AI Planning

Knowledge Engineering Tools and Techniques for AI Planning
Author: Mauro Vallati
Publisher: Springer Nature
Total Pages: 277
Release: 2020-03-25
Genre: Computers
ISBN: 3030385612
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This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.