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Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Cambridge University Press
Page : 373 pages
File Size : 55,5 Mb
Release : 2016-08-09
Category : Computers
ISBN : 9781107037274
This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Elsevier
Page : 665 pages
File Size : 47,9 Mb
Release : 2004-05-03
Category : Business & Economics
ISBN : 9781558608566
Publisher Description
Author : A. Sima Uyar,Ender Ozcan,Neil Urquhart
Publisher : Springer
Page : 311 pages
File Size : 45,5 Mb
Release : 2013-07-12
Category : Technology & Engineering
ISBN : 9783642393044
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 : Hector Radanovic
Publisher : Springer Nature
Page : 132 pages
File Size : 41,8 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015649
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 : Yves Crama,Alwin G. Oerlemans,Frits C.R. Spieksma
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 48,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642802706
In this book quantitative approaches are proposed for production planning problems in automated manufacturing. In particular, techniques from operations research provide ways to tackle these problems. Special attention is given to the efficient use of tools in automated manufacturing systems. The book presents models and tests solution strategies for different kinds of production decision problems. A case study in the manufacturing of printed circuit boards highlights the methodology. The book will help to understand the nature of production planning problems in automated manufacturing and show how techniques from operations research may contribute to their solution.
Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 46,9 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613
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 : Craig A. Knoblock
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461531524
Generating Abstraction Hierarchies presents a completely automated approach to generating abstractions for problem solving. The abstractions are generated using a tractable, domain-independent algorithm whose only inputs are the definition of a problem space and the problem to be solved and whose output is an abstraction hierarchy that is tailored to the particular problem. The algorithm generates abstraction hierarchies that satisfy the `ordered monotonicity' property, which guarantees that the structure of an abstract solution is not changed in the process of refining it. An abstraction hierarchy with this property allows a problem to be decomposed such that the solution in an abstract space can be held invariant while the remaining parts of a problem are solved. The algorithm for generating abstractions is implemented in a system called ALPINE, which generates abstractions for a hierarchical version of the PRODIGY problem solver. Generating Abstraction Hierarchies formally defines this hierarchical problem solving method, shows that under certain assumptions this method can reduce the size of a search space from exponential to linear in the solution size, and describes the implementation of this method in PRODIGY. The abstractions generated by ALPINE are tested in multiple domains on large problem sets and are shown to produce shorter solutions with significantly less search than problem solving without using abstraction. Generating Abstraction Hierarchies will be of interest to researchers in machine learning, planning and problem reformation.
Author : Hector Geffner,Blai Bonet
Publisher : Morgan & Claypool Publishers
Page : 143 pages
File Size : 45,8 Mb
Release : 2013-06-01
Category : Computers
ISBN : 9781608459704
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 : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 142 pages
File Size : 51,8 Mb
Release : 2023-07-06
Category : Computers
ISBN : PKEY:6610000476466
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 : Steven Michael LaValle
Publisher : Unknown
Page : 826 pages
File Size : 44,5 Mb
Release : 2006
Category : Algorithms
ISBN : 051124133X
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 : Ioannis Vlahavas,Dimitris Vrakas
Publisher : IGI Global
Page : 364 pages
File Size : 51,7 Mb
Release : 2005-01-01
Category : Computers
ISBN : 9781591404521
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 : Kiyoji Asai,I. Burhan Turksen,Gunduz Ulusoy
Publisher : Springer Science & Business Media
Page : 566 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642835902
The Current state of expectations is that Computer Integrated Manufacturing (CIM) will ulti mately determine the industrial growth of world nations within the next few decades. Computer Aided Design (CAD), Computer Aided Manufacturing (CAM), Flexible Manufacturing Systems (FMS), Robotics together with Knowledge and Information Based Systems (KIBS) and Com munication Networks are expected to develop to a mature state to respond effectively to the managerial requirements of the factories of the future that are becoming highly integrated and complex. CIM represents a new production approach which will allow the factories to deliver a high variety of products at a low cost and with short production cycles. The new technologies for CIM are needed to develop manufacturing environments that are smarter, faster, close-cou pled, integrated, optimized, and flexible. Sophistication and a high degree of specialization in materials science, artificial intelligence, communications technology and knowledge-information science techniques are needed among others for the development of realizable and workable CIM systems that are capable of adjusting to volatile markets. CIM factories are to allow the production of a wide variety of similar products in small batches through standard but multi mission oriented designs that accommodate flexibility with specialized software.
Author : H. Lee Willis
Publisher : CRC Press
Page : 1506 pages
File Size : 41,9 Mb
Release : 1997-06-17
Category : Technology & Engineering
ISBN : 9780824755386
Providing more than twice the content of the original, this new edition is the premier source on the selection, development, and provision of safe, high-quality, and cost-effective electric utility distribution systems, and it promises vast improvements in system reliability and layout by spanning every aspect of system planning including load fore
Author : H. Lee Willis
Publisher : CRC Press
Page : 1246 pages
File Size : 40,9 Mb
Release : 2004-03-01
Category : Technology & Engineering
ISBN : 1420030310
Providing more than twice the content of the original edition, this new edition is the premier source on the selection, development, and provision of safe, high-quality, and cost-effective electric utility distribution systems, and it promises vast improvements in system reliability and layout by spanning every aspect of system planning including load forecasting, scheduling, performance, and economics. Responding to the evolving needs of electric utilities, Power Distribution Planning Reference Book presents an abundance of real-world examples, procedural and managerial issues, and engineering and analytical methodologies that are crucial to efficient and enhanced system performance.
Author : Tiziana Rancati,Claudio Fiorino
Publisher : CRC Press
Page : 474 pages
File Size : 41,5 Mb
Release : 2019-06-11
Category : Science
ISBN : 9781351983112
The treatment of a patient with radiation therapy is planned to find the optimal way to treat a tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability of accurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance. This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in 2010. Features: Addresses the lack of systemization in the field, providing educational materials on predictive models, including methods, tools, and the evaluation of uncertainties Collects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapy Edited by two leading experts in the field
