Automated Planning And Scheduling

Author : A. Sima Uyar,Ender Ozcan,Neil Urquhart
Publisher : Springer
Page : 311 pages
File Size : 41,7 Mb
Release : 2013-07-12
Category : Technology & Engineering
ISBN : 9783642393044

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Automated Scheduling and Planning by A. Sima Uyar,Ender Ozcan,Neil Urquhart Pdf

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,Dana Nau,Paolo Traverso
Publisher : Elsevier
Page : 665 pages
File Size : 41,7 Mb
Release : 2004-05-03
Category : Business & Economics
ISBN : 9781558608566

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Automated Planning by Malik Ghallab,Dana Nau,Paolo Traverso Pdf

Publisher Description

Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Cambridge University Press
Page : 373 pages
File Size : 51,5 Mb
Release : 2016-08-09
Category : Computers
ISBN : 9781107037274

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Automated Planning and Acting by Malik Ghallab,Dana Nau,Paolo Traverso Pdf

This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 142 pages
File Size : 55,7 Mb
Release : 2023-07-06
Category : Computers
ISBN : PKEY:6610000476466

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Automated Planning and Scheduling by Fouad Sabry Pdf

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.

Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Elsevier
Page : 635 pages
File Size : 47,5 Mb
Release : 2004-05-21
Category : Computers
ISBN : 9780080490519

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Automated Planning by Malik Ghallab,Dana Nau,Paolo Traverso Pdf

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 : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 47,9 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613

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Knowledge Engineering Tools and Techniques for AI Planning by Mauro Vallati,Diane Kitchin Pdf

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.

Author : Amanda Coles,Stefan Edelkamp,Daniele Magazzeni
Publisher : Unknown
Page : 564 pages
File Size : 40,7 Mb
Release : 2016-10-08
Category : Computers
ISBN : 1577357574

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Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling by Amanda Coles,Stefan Edelkamp,Daniele Magazzeni Pdf

The annual ICAPS conference series was formed in 2003 through the merger of the International Conference on Artificial Intelligence Planning and Scheduling and the European Conference on Planning. ICAPS continues the traditional high standards of AIPS and ECP as an archival forum for new research in the field of automated planning and scheduling. The 64 papers included in this volume were selected from a record 187 submissions, including submissions to special tracks in Robotics and Novel Applications. To review the papers, three international program committees were formed -- one for the main conference track, and one for each of the special tracks -- ensuring reviewers had relevant experience and applied relevant criteria to the papers submitted. The result is a broad range of papers representing the latest advances in the eld of automated planning and scheduling. Thee range of topics covered includes: search and constraint reasoning in planning and scheduling; probabilistic planning models and algorithms; integrated frameworks for planning, scheduling and execution; the use of learning methods; multiagent planning and scheduling; planning and scheduling for singleand multi-robot scenarios; and others, including the application of planning techniques to novel real-world problems.

Author : Ioannis Vlahavas,Dimitris Vrakas
Publisher : IGI Global
Page : 364 pages
File Size : 44,9 Mb
Release : 2005-01-01
Category : Computers
ISBN : 9781591404521

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Intelligent Techniques for Planning by Ioannis Vlahavas,Dimitris Vrakas Pdf

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.

Author : Fahiem Bacchus,Carmel Domshlak,Stefan Edelkamp,Malte Helmert
Publisher : Unknown
Page : 360 pages
File Size : 51,7 Mb
Release : 2011-06-16
Category : Electronic
ISBN : 1577355032

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Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling (ICAPS-11) by Fahiem Bacchus,Carmel Domshlak,Stefan Edelkamp,Malte Helmert Pdf

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 51,8 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781839212819

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Artificial Intelligence By Example by Denis Rothman Pdf

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Author : Jeremy Frank,Stephen F. Smith
Publisher : Unknown
Page : 620 pages
File Size : 48,5 Mb
Release : 2017-06-15
Category : Computers
ISBN : 1577357892

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Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling by Jeremy Frank,Stephen F. Smith Pdf

The papers included in this volume are those selected for presentation at ICAPS 2017 and represent the latest advances in the field of automated planning and scheduling.

Author : Steven Michael LaValle
Publisher : Unknown
Page : 826 pages
File Size : 55,9 Mb
Release : 2006
Category : Algorithms
ISBN : 051124133X

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Planning Algorithms by Steven Michael LaValle Pdf

Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature from several fields into a coherent source for teaching and reference in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications, and medicine.

Author : Susanne Biundo,Karen Myers,Kanna Rajan
Publisher : Unknown
Page : 332 pages
File Size : 42,8 Mb
Release : 2005
Category : Artificial intelligence
ISBN : 1577352203

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Proceedings, the Fifteenth International Conference on Automated Planning and Scheduling by Susanne Biundo,Karen Myers,Kanna Rajan Pdf

Author : Hector Radanovic
Publisher : Springer Nature
Page : 132 pages
File Size : 40,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015649

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A Concise Introduction to Models and Methods for Automated Planning by Hector Radanovic Pdf

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 : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 476 pages
File Size : 46,9 Mb
Release : 2018-05-31
Category : Computers
ISBN : 9781788990028

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Artificial Intelligence By Example by Denis Rothman Pdf

Be an adaptive thinker that leads the way to Artificial Intelligence Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Book Description Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Acquire advanced AI, machine learning, and deep learning designing skills Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology Understand future AI solutions and adapt quickly to them Develop out-of-the-box thinking to face any challenge the market presents Who this book is for Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.