State Space Search

Author : Weixiong Zhang
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 49,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461215387

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State-Space Search by Weixiong Zhang Pdf

This book is particularly concerned with heuristic state-space search for combinatorial optimization. Its two central themes are the average-case complexity of state-space search algorithms and the applications of the results notably to branch-and-bound techniques. Primarily written for researchers in computer science, the author presupposes a basic familiarity with complexity theory, and it is assumed that the reader is familiar with the basic concepts of random variables and recursive functions. Two successful applications are presented in depth: one is a set of state-space transformation methods which can be used to find approximate solutions quickly, and the second is forward estimation for constructing more informative evaluation functions.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 111 pages
File Size : 43,6 Mb
Release : 2023-06-28
Category : Computers
ISBN : PKEY:6610000471317

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State Space Search by Fouad Sabry Pdf

What Is State Space Search State space search is a technique that is employed in the field of computer science, particularly artificial intelligence (AI), in which consecutive configurations or states of an instance are explored, with the objective of finding a goal state with the desired feature. The term "state space search" comes from the phrase "state space," which refers to the space in which the process takes place. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: State Space Search Chapter 2: Brute-Force Search Chapter 3: Heuristic in Computer Science Chapter 4: Local Search Optimization Chapter 5: Game Tree Chapter 6: Constraint Satisfaction Problem Chapter 7: Adversarial Search Chapter 8: Markov Decision Process Chapter 9: Reinforcement Learning Chapter 10: Combinatorial search (II) Answering the public top questions about state space search. (III) Real world examples for the usage of state space search in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of state space search' 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 state space search.

Author : David M. Skapura
Publisher : Addison-Wesley Professional
Page : 308 pages
File Size : 46,5 Mb
Release : 1996
Category : Computers
ISBN : 0201539217

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Building Neural Networks by David M. Skapura Pdf

Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are more suitable than others for solving specific kinds of problems. Skapura also reviews principles of neural information processing and furnishes an operations summary of the most popular neural-network processing models.

Author : Stefan Edelkamp,Stefan Schroedl
Publisher : Elsevier
Page : 712 pages
File Size : 49,6 Mb
Release : 2011-05-31
Category : Computers
ISBN : 0080919731

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Heuristic Search by Stefan Edelkamp,Stefan Schroedl Pdf

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

Author : Leveen Kanal,Vipin Kumar
Publisher : Springer Science & Business Media
Page : 491 pages
File Size : 40,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461387886

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Search in Artificial Intelligence by Leveen Kanal,Vipin Kumar Pdf

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.

Author : Zhengxin Chen
Publisher : CRC Press
Page : 408 pages
File Size : 53,6 Mb
Release : 1999-11-24
Category : Computers
ISBN : 1420049143

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Computational Intelligence for Decision Support by Zhengxin Chen Pdf

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making. Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest. The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.

Author : Midhun Moorthi C
Publisher : Academic Guru Publishing House
Page : 212 pages
File Size : 51,9 Mb
Release : 2023-09-11
Category : Study Aids
ISBN : 9788119832262

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Artificial Intelligence For Robotics by Midhun Moorthi C Pdf

The phrase "artificial intelligence" can scare some people, yet the technology behind it has been around for many decades, and its everyday uses are probably more widespread than you would think. There are an incredible number of fascinating ways that artificial intelligence is employed behind the scenes to affect everyday life. It doesn't matter whether it's attempting to read emails, receive driving directions, or get suggestions for music or movies; A1 can help with all of these things and more. This book, Artificial Intelligence for Robotics, covers topics such as Robot Operating Systems (ROS), Python, and robotic fundamentals, as well as the essential software and tools that are required to get started with robotics. basic skills in robotic navigation in addition to the fundamentals of robotics that will be helpful when making decisions. This book will provide you with an introduction to one of the most exciting topics of the 21st century: artificial intelligence, or AI for short. AI is the hypothetical simulation of a live brain inside of a machine. This extensive resource offers a firm grounding in applied robotics technology and industrial robotics applications. The book examines the whole of the area of robotics, beginning with the design and manufacturing stages and moving on to the deployment, operation, and maintenance phases. Clear and concise explanations of the most recent components, approaches, and capabilities, combined with many examples from real-world applications and drawings in great detail. Three appendices contain information on individual robot types, pendants, and controllers. These appendices are quite valuable.

Author : Anonim
Publisher : DIANE Publishing
Page : 20 pages
File Size : 45,7 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9781428961869

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Automated Parallelization of Discrete State-space Generation by Anonim Pdf

Author : Rina Dechter
Publisher : Elsevier
Page : 480 pages
File Size : 54,7 Mb
Release : 2003-05-22
Category : Computers
ISBN : 9780080502953

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Constraint Processing by Rina Dechter Pdf

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning. In Constraint Processing, Rina Dechter, synthesizes these contributions, along with her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. Throughout, she focuses on fundamental tools and principles, emphasizing the representation and analysis of algorithms. Examines the basic practical aspects of each topic and then tackles more advanced issues, including current research challenges Builds the reader's understanding with definitions, examples, theory, algorithms and complexity analysis Synthesizes three decades of researchers work on constraint processing in AI, databases and programming languages, operations research, management science, and applied mathematics

Author : Tom Hollenstein
Publisher : Springer Science & Business Media
Page : 135 pages
File Size : 52,6 Mb
Release : 2012-10-28
Category : Psychology
ISBN : 9781461450078

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State Space Grids by Tom Hollenstein Pdf

Human development from birth through adulthood is a complex interplay of many interacting forces. Children’s internal processes are manifest in behaviors that are sculpted by their experiences, most notably with primary caregivers. Because the discipline of psychology explores human behavior and cognition, the techniques employed for developmental analysis must be able to describe, depict, and quantify these complex processes. State Space Grids provides the framework, basic method, rationale, and advanced techniques for translating the behavior of children, adolescents, and parents into visible, traceable data. This seminar-between-covers takes readers step by step from conceptualization through implementation of projects, with examples from a range of current research within and outside child development. Links are included for the GridWare software program and related user resources. And although state space grids need not be used only to analyze dynamic systems, they serve as an excellent tool for honing systemic thinking. Key coverage in this volume includes: Dynamic systems and the origins of state space grids. The state of research using state space grids. Introducing GridWare and how it works. How to use state space grids, from idea through finished project. Within-grid and between-grid analysis. Conducting advanced analysis. State Space Grids is an essential reference for researchers across such disciplines as psychology, neuroscience, economics, computer science, and agricultural science.

Author : Chris Thornton,Benedict Du Boulay
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401128360

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Artificial Intelligence Through Search by Chris Thornton,Benedict Du Boulay Pdf

This is an important textbook on artificial intelligence that uses the unifying thread of search to bring together most of the major techniques used in symbolic artificial intelligence. The authors, aware of the pitfalls of being too general or too academic, have taken a practical approach in that they include program code to illustrate their ideas. Furthermore, code is offered in both POP-11 and Prolog, thereby giving a dual perspective, highlighting the merits of these languages. Each chapter covers one technique and divides up into three sections: a section which introduces the technique (and its usual applications) andsuggests how it can be understood as a variant/generalisation of search; a section which developed a `low'-level (POP-11) implementation; a section which develops a high-level (Prolog) implementation of the technique. The authors also include useful notes on alternative treatments to the material, further reading and exercises. As a practical book it will be welcomed by a wide audience including, those already experienced in AI, students with some background in programming who are taking an introductory course in AI, and lecturers looking for a precise, professional and practical text book to use in their AI courses. About the authors: Dr Christopher Thornton has a BA in Economics, an Sc in Computer Science and a DPhil in Artificial Intelligence. Formerly a lecturer in the Department of AI at the University of Edinburgh, he is now a lecturer in AI in the School of Cognitive and Computing Sciences at the University of Sussex. Professor Benedict du Boulay has a BSc in Physics and a PhD in Artificial Intelligence. Previously a lecturer in the Department of Computing Science at the University of Aberdeen he is currently Professor of Artificial Intelligence, also in the School of Cognitive and Computing Sciences, University of Sussex.

Author : Anonim
Publisher : Elsevier
Page : 260 pages
File Size : 40,9 Mb
Release : 2023-09-01
Category : Mathematics
ISBN : 9780443137648

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Artificial Intelligence by Anonim Pdf

Artificial Intelligence, Volume 49 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics. Chapters in this new release include AI Teacher-Student based Adaptive Structural Deep Learning Model and Its Estimating Uncertainty of Image Data, Machine-derived Intelligence: Computations Beyond the Null Hypothesis, Object oriented basis of artificial intelligence methodologies I in Judicial Systems in India, Artificial Intelligence in Systems Biology, Machine-Learning in Geometry and Physics, Innovation and Machine Learning: Crowdsourcing Open-Source Natural Language Processing (NLP) Algorithms to Advance Public Health Surveillance, and more. Other chapters cover Learning and identity testing of Markov chains, Data privacy for machine learning and statistics, and The interface between AI and Mathematics. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Includes the latest information on Artificial Intelligence

Author : Rajeev Alur,Insup Lee
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 54,9 Mb
Release : 2003-09-29
Category : Computers
ISBN : 9783540202233

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Embedded Software by Rajeev Alur,Insup Lee Pdf

This book constitutes the refereed proceedings of the Third International Conference on Embedded Software, EMSOFT 2003, held in Philadelphia, PA, USA in October 2003. The 20 revised full papers presented together with three invited papers were carefully reviewed and selected from 60 submissions. All current topics in embedded software are addressed: formal methods and model-based development, middleware and fault tolerance, modelling and analysis, programming languages and compilers, real-time scheduling, resource-aware systems, and systems on a chip.

Author : Youssef Hamadi,Lakhdar Sais
Publisher : Springer
Page : 677 pages
File Size : 52,5 Mb
Release : 2018-04-05
Category : Computers
ISBN : 9783319635163

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Handbook of Parallel Constraint Reasoning by Youssef Hamadi,Lakhdar Sais Pdf

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD). The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning.

Author : Luca de Alfaro,Stephen Gilmore
Publisher : Springer
Page : 224 pages
File Size : 46,6 Mb
Release : 2003-06-30
Category : Mathematics
ISBN : 9783540448044

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Process Algebra and Probabilistic Methods. Performance Modelling and Verification by Luca de Alfaro,Stephen Gilmore Pdf

This book constitutes the refereed proceedings of the Joint Workshop on Process Algebra and Performance Modeling and Probabilistic Methods in Verification, PAPM-PROBMIV 2001, held in Aachen, Germany in September 2001. The 12 revised full papers presented together with one invited paper were carefully reviewed and selected from 23 submissions. Among the topics addressed are model representation, model checking, probabilistic systems analysis, refinement, Markov chains, random variables, stochastic timed systems, Max-Plus algebra, process algebra, system modeling, and the Mobius modeling framework.