Planning In Intelligent Systems

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Planning in Intelligent Systems

Author : Wout van Wezel,R. J. Jorna,Alexander M. Meystel
Publisher : John Wiley & Sons
Page : 592 pages
File Size : 45,9 Mb
Release : 2006-03-03
Category : Computers
ISBN : 9780471781257

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Planning in Intelligent Systems by Wout van Wezel,R. J. Jorna,Alexander M. Meystel Pdf

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipateand plan is an essential feature of intelligent systems, whetherhuman or machine. It further assumes that better planning resultsin greater achievements. With these principles as a foundation,Planning in Intelligent Systems provides readers with the toolsneeded to better understand the process of planning and to becomebetter planners themselves. The text is divided into two parts: * Part One, "Theoretical," discusses the predominant schools ofthought in planning: psychology and cognitive science,organizational science, computer science, mathematics, artificialintelligence, and systems theory. In particular, the book examinescommonalities and differences among the goals, methods, andtechniques of these various approaches to planning. The result is abetter understanding of the process of planning through thecross-fertilization of ideas. Each chapter contains a shortintroduction that sets forth the interrelationships of that chapterto the main ideas featured in the other chapters. * Part Two, "Practical," features six chapters that center on acase study of The Netherlands Railways. Readers learn to applytheory to a real-world situation and discoverhow expanding theirrepertoire of planning methods can help solve seemingly intractableproblems. All chapters have been contributed by leading experts in thevarious schools of planning and carefully edited to ensure aconsistent high standard throughout. This book is designed to not only expand the range of planningtools used, but also to enable readers to use them moreeffectively. It challenges readers to look at new approaches andlearn from new schools of thought. Planning in Intelligent Systemsdelivers effective planning approaches for researchers, professors,students, and practitioners in artificial intelligence, computerscience, cognitive psychology, and mathematics, as well as industryplanners and managers.

Intelligent Techniques for Planning

Author : Ioannis Vlahavas,Dimitris Vrakas
Publisher : IGI Global
Page : 364 pages
File Size : 52,5 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.

Intelligent Planning

Author : Qiang Yang
Publisher : Springer Science & Business Media
Page : 263 pages
File Size : 42,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642606182

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Intelligent Planning by Qiang Yang Pdf

"The central fact is that we are planning agents." (M. Bratman, Intentions, Plans, and Practical Reasoning, 1987, p. 2) Recent arguments to the contrary notwithstanding, it seems to be the case that people-the best exemplars of general intelligence that we have to date do a lot of planning. It is therefore not surprising that modeling the planning process has always been a central part of the Artificial Intelligence enterprise. Reasonable behavior in complex environments requires the ability to consider what actions one should take, in order to achieve (some of) what one wants and that, in a nutshell, is what AI planning systems attempt to do. Indeed, the basic description of a plan generation algorithm has remained constant for nearly three decades: given a desciption of an initial state I, a goal state G, and a set of action types, find a sequence S of instantiated actions such that when S is executed instate I, G is guaranteed as a result. Working out the details of this class of algorithms, and making the elabora tions necessary for them to be effective in real environments, have proven to be bigger tasks than one might have imagined.

Automated Planning and Acting

Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Cambridge University Press
Page : 373 pages
File Size : 43,5 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.

Intelligent Systems for Engineers and Scientists

Author : Adrian A. Hopgood
Publisher : CRC Press
Page : 455 pages
File Size : 50,7 Mb
Release : 2012-02-02
Category : Computers
ISBN : 9781466516175

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Intelligent Systems for Engineers and Scientists by Adrian A. Hopgood Pdf

The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/

Automated Planning

Author : Malik Ghallab,Dana Nau,Paolo Traverso
Publisher : Elsevier
Page : 665 pages
File Size : 47,8 Mb
Release : 2004-05-03
Category : Business & Economics
ISBN : 9781558608566

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

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Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 43,6 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.

Artificial Intelligence in Urban Planning and Design

Author : Imdat As,Prithwish Basu,Pratap Talwar
Publisher : Elsevier
Page : 404 pages
File Size : 53,8 Mb
Release : 2022-05-14
Category : Political Science
ISBN : 9780128239421

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Artificial Intelligence in Urban Planning and Design by Imdat As,Prithwish Basu,Pratap Talwar Pdf

Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. Includes a cutting-edge catalogue of AI tools applied to smart city design and planning Provides case studies from around the globe at various scales Includes diagrams and graphics for course instruction

Artificial Intelligence Planning Systems

Author : James Hendler
Publisher : Elsevier
Page : 315 pages
File Size : 47,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080499444

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Artificial Intelligence Planning Systems by James Hendler Pdf

Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.

Practical Planning

Author : David E. Wilkins
Publisher : Elsevier
Page : 205 pages
File Size : 46,7 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9780080514475

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Practical Planning by David E. Wilkins Pdf

Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners. Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included. Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.

Intelligent Robotic Planning Systems

Author : P C-Y Sheu,Q Xue
Publisher : World Scientific
Page : 280 pages
File Size : 52,8 Mb
Release : 1993-07-21
Category : Technology & Engineering
ISBN : 9789814506014

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Intelligent Robotic Planning Systems by P C-Y Sheu,Q Xue Pdf

This volume focusses on the problem of planning in the context of robotics. Unlike most books on robotics planning which are either too abstract or too specific, this one extends the techniques developed for generic planning problems with robotics-specific considerations so that the task of planning can be discussed in a more uniform way. It also includes the latest results in reconfigurable (mobile) robot planning, multiple robot planning, plan recovery, and planning in uncertain environments. This volume is probably the very first book in the market that provides a theoretical foundation for planning techniques and their applications. It also bridges the gap that has been existing for a long time between computer scientists and application engineers. It will be of interest to senior and graduate students in engineering and computer science, AI researchers and professionals. Contents: IntroductionWorld ModelingAn Object-Oriented Robot Programming LanguageClassical Robotic Task Planning SystemsConstructive Robotic Task PlanningRobot Path PlanningTask Planning for Coordinated Multiple RobotsMotion Planning for Coordinated Multiple RobotsRobot Path Planning in Unknown EnvironmentsConclusionsBibliographyIndex Readership: Computer scientists and engineers. keywords:“… a very good and fairly complete treatment of the subject … very fluently readable …”Spyros Tzafestas Journal of Intelligent and Robotic Systems, 1996

Intelligent Robotic Systems

Author : Witold Jacak
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 54,7 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9780306469671

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Intelligent Robotic Systems by Witold Jacak Pdf

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.

Agent-Based Hybrid Intelligent Systems

Author : Zili Zhang (Ph.D.),Chengqi Zhang
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 48,6 Mb
Release : 2004-01-28
Category : Computers
ISBN : 9783540209089

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Agent-Based Hybrid Intelligent Systems by Zili Zhang (Ph.D.),Chengqi Zhang Pdf

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Intelligent Techniques in Engineering Management

Author : Cengiz Kahraman,Sezi Çevik Onar
Publisher : Springer
Page : 747 pages
File Size : 52,5 Mb
Release : 2015-05-05
Category : Technology & Engineering
ISBN : 9783319179063

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Intelligent Techniques in Engineering Management by Cengiz Kahraman,Sezi Çevik Onar Pdf

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

Case-Based Planning

Author : Kristian J. Hammond
Publisher : Elsevier
Page : 302 pages
File Size : 49,6 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780323138468

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Case-Based Planning by Kristian J. Hammond Pdf

Perspectives in Artificial Intelligence, Volume 1: Case-Based Planning: Viewing Planning as a Memory Task focuses on the processes, methodologies, and techniques employed in viewing planning as a memory task. The publication first elaborates on planning and memory and learning from planning. Discussions focus on learning from cases, learning plans, learning to predict failures, case-based planning, structure of case-based planning, and learning from planning. The text then elaborates on planning from memory and planning Thematic Organization Packets (TOPs) and strategies, including TOPs in understanding and planning, TOPs and strategies, and function of memory. The manuscript takes a look at modifying and repairing plans, case-based planning, and planning and planners. Topics include CHEF as a program, case-based planning as planning and learning, noticing and explaining the failure, storing the plan, different situations for altering plans, and introduction of failure. The publication is a vital reference for researchers interested in viewing planning as a memory task.