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Heuristic Search

Heuristic Search Book
Author : Stefan Edelkamp,Stefan Schroedl
Publisher : Elsevier
Release : 2011-05-31
ISBN : 9780080919737
Language : En, Es, Fr & De

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Book Description :

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed. Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us. Provides real-world success stories and case studies for heuristic search algorithms Includes many AI developments not yet covered in textbooks such as pattern databases, symbolic search, and parallel processing units

Multiobjective Heuristic Search

Multiobjective Heuristic Search Book
Author : Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar
Publisher : Springer Science & Business Media
Release : 2013-11-11
ISBN : 3322868532
Language : En, Es, Fr & De

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Book Description :

Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy games. Conventional search techniques are not equipped to handle the partial order state spaces of multiobjective problems since they inherently assume a single scalar objective function. Multiobjective heuristic search techniques have been developed to specifically address multicriteria combinatorial optimization problems. This text describes the multiobjective search model and develops the theoretical foundations of the subject, including complexity results . The fundamental algorithms for three major problem formulation schemes, namely state-space formulations, problem-reduction formulations, and game-tree formulations are developed with the support of illustrative examples. Applications of multiobjective search techniques to synthesis problems in VLSI, and operations research are considered. This text provides a complete picture on contemporary research on multiobjective search, most of which is the contribution of the authors.

Heuristic Search

Heuristic Search Book
Author : Saïd Salhi
Publisher : Springer
Release : 2017-02-18
ISBN : 3319493558
Language : En, Es, Fr & De

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Book Description :

This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this exciting decision science-based subject. It will provide the reader with challenging and lively methodologies through which they will be able to design and analyse their own techniques

Advances in Computational and Stochastic Optimization Logic Programming and Heuristic Search

Advances in Computational and Stochastic Optimization  Logic Programming  and Heuristic Search Book
Author : David L. Woodruff
Publisher : Springer Science & Business Media
Release : 2013-03-14
ISBN : 1475728077
Language : En, Es, Fr & De

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Book Description :

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

Search in Artificial Intelligence

Search in Artificial Intelligence Book
Author : Leveen Kanal,Vipin Kumar
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461387884
Language : En, Es, Fr & De

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Book Description :

Search is an important component of problem solving in artificial intelligence (AI) and, more generally, in computer science, engineering and operations research. Combinatorial optimization, decision analysis, game playing, learning, planning, pattern recognition, robotics and theorem proving are some of the areas in which search algbrithms playa key role. Less than a decade ago the conventional wisdom in artificial intelligence was that the best search algorithms had already been invented and the likelihood of finding new results in this area was very small. Since then many new insights and results have been obtained. For example, new algorithms for state space, AND/OR graph, and game tree search were discovered. Articles on new theoretical developments and experimental results on backtracking, heuristic search and constraint propaga tion were published. The relationships among various search and combinatorial algorithms in AI, Operations Research, and other fields were clarified. This volume brings together some of this recent work in a manner designed to be accessible to students and professionals interested in these new insights and developments.

Data Mining A Heuristic Approach

Data Mining  A Heuristic Approach Book
Author : Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S.
Publisher : IGI Global
Release : 2001-07-01
ISBN : 1591400112
Language : En, Es, Fr & De

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Book Description :

Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

Artificial Intelligence

Artificial Intelligence Book
Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Release : 2017-09-25
ISBN : 110719539X
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Modern Heuristic Search Methods

Modern Heuristic Search Methods Book
Author : V. J. Rayward-Smith,I. H. Osman,C. R. Reeves,G. D. Smith
Publisher : John Wiley & Sons
Release : 1996-12-23
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.

An Expert System for Cell Edge Detection Using a Heuristic Search Method

An Expert System for Cell Edge Detection Using a Heuristic Search Method Book
Author : Loling Song
Publisher : Unknown
Release : 1989
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download An Expert System for Cell Edge Detection Using a Heuristic Search Method book written by Loling Song, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Cognitive Computing for Human Robot Interaction

Cognitive Computing for Human Robot Interaction Book
Author : Mamta Mittal,Rajiv Ratn Shah,Sudipta Roy
Publisher : Academic Press
Release : 2021-08-13
ISBN : 0323856470
Language : En, Es, Fr & De

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Book Description :

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Issues in Theoretical and Practical Complexity for Heuristic Search Algorithms

Issues in Theoretical and Practical Complexity for Heuristic Search Algorithms Book
Author : Daniel Ratner
Publisher : Unknown
Release : 1986
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Issues in Theoretical and Practical Complexity for Heuristic Search Algorithms book written by Daniel Ratner, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Heuristic and Optimization for Knowledge Discovery

Heuristic and Optimization for Knowledge Discovery Book
Author : Abbass, Hussein A.,Newton, Charles S.,Sarker, Ruhul
Publisher : IGI Global
Release : 2001-07-01
ISBN : 1591400171
Language : En, Es, Fr & De

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Book Description :

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic techniques. Heuristic and Optimization for Knowledge Discovery addresses the foundation of this topic, as well as its practical uses, and aims to fill in the gap that exists in current literature.

Am an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search

Am  an Artificial Intelligence Approach to Discovery in Mathematics as Heuristic Search Book
Author : Douglas B. Lenat,Stanford University. Computer Science Department
Publisher : Unknown
Release : 1976
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

A program called 'AM', is described which models one aspect of elementary mathematics research: developing new concepts under the guidance of a large body of heuristic rules. 'Mathematics' is considered as a type of intelligent behavior, not as a finished product. The local heuristics communicate via an agenda mechanism, a global list of tasks for the system to perform and reasons why each task is plausible. A single task might direct AM to define a new concept, or to explore some facet of an existing concept, or to examine some empirical data for regularities, etc. Repeatedly, the program selects from the agenda the task having the best supporting reasons, and then executes it. Each concept is an active, structured knowledge module. A hundred very incomplete modules are initially provided, each one corresponding to an elementary set-theoretic concept (e.g., union). This provides a definite but immense 'space' which AM begins to explore. AM extends its knowledge base, ultimately rediscovering hundreds of common concepts (e.g., numbers) and theorems (e.g., unique factorization). This approach to plausible inference contains great powers and great limitations.

Exact and Heuristic Scheduling Algorithms

Exact and Heuristic Scheduling Algorithms Book
Author : Frank Werner,Larysa Burtseva,Yuri Sotskov
Publisher : MDPI
Release : 2020-03-18
ISBN : 3039284681
Language : En, Es, Fr & De

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Book Description :

This edited book presents new results in the area of the development of exact and heuristic scheduling algorithms. It contains eight articles accepted for publication for a Special Issue in the journal Algorithms. The book presents new algorithms, e.g., for flow shop, job shop, and parallel machine scheduling problems. The particular articles address subjects such as a heuristic for the routing and scheduling problem with time windows, applied to the automotive industry in Mexico, a heuristic for the blocking job shop problem with tardiness minimization based on new neighborhood structures, fast heuristics for the Euclidean traveling salesman problem or a new mathematical model for the period-aggregated resource leveling problem with variable job duration, and several others.

Heuristics

Heuristics Book
Author : Judea Pearl
Publisher : Addison-Wesley
Release : 1984
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence Book
Author : Pradipta Maji,Ashish Ghosh,M. Narasimha Murty,Kuntal Ghosh,Sankar K. Pal
Publisher : Springer
Release : 2013-12-09
ISBN : 3642450628
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013, held in Kolkata, India in December 2013. The 101 revised papers presented together with 9 invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on pattern recognition; machine learning; image processing; speech and video processing; medical imaging; document image processing; soft computing; bioinformatics and computational biology; and social media mining.

Expert Systems Six Volume Set

Expert Systems  Six Volume Set Book
Author : Cornelius T. Leondes
Publisher : Elsevier
Release : 2001-09-26
ISBN : 0080531458
Language : En, Es, Fr & De

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Book Description :

This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Key Features * Expert systems techniques and applications are presented for a diverse array of topics including: * Experimental design and decision support * The integration of machine learning with knowledge acquisition for the design of expert systems * Process planning in design and manufacturing systems and process control applications * Knowledge discovery in large-scale knowledge bases * Robotic systems * Geograhphic information systems * Image analysis, recognition and interpretation * Cellular automata methods for pattern recognition * Real-time fault tolerant control systems * CAD-based vision systems in pattern matching processes * Financial systems * Agricultural applications * Medical diagnosis

Principles and Practice of Constraint Programming CP 2001

Principles and Practice of Constraint Programming   CP 2001 Book
Author : Toby Walsh
Publisher : Springer
Release : 2003-06-30
ISBN : 3540455787
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 7th International Conference on Principles and Practice of Constraint Programming, CP 2001, held in Paphos, Cyprus, in November/December 2001. The 37 revised full papers, 9 innovative applications presentations, and 14 short papers presented were carefully reviewed and selected from a total of 135 submissions. All current issues in constraint processing are addressed, ranging from theoretical and foundational issues to advanced and innovative applications in a variety of fields.

Handbook of Metaheuristics

Handbook of Metaheuristics Book
Author : Michel Gendreau,Jean-Yves Potvin
Publisher : Springer
Release : 2018-09-20
ISBN : 3319910868
Language : En, Es, Fr & De

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Book Description :

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

ECAI 2010

ECAI 2010 Book
Author : European Coordinating Committee for Artificial Intelligence
Publisher : IOS Press
Release : 2010
ISBN : 160750605X
Language : En, Es, Fr & De

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Book Description :

LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.