Search In Artificial Intelligence
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Search In Artificial Intelligence
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Author : Leveen Kanal
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Search In Artificial Intelligence written by Leveen Kanal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Artificial Intelligence Through Search
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Author : Chris Thornton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence Through Search written by Chris Thornton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Autonomous Search
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Author : Youssef Hamadi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-05
Autonomous Search written by Youssef Hamadi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-05 with Computers categories.
Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better since they can solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. Autonomous search (AS) represents a new research field defined to precisely address the above challenge. Its major strength and originality consist in the fact that problem solvers can now perform self-improvement operations based on analysis of the performances of the solving process -- including short-term reactive reconfiguration and long-term improvement through self-analysis of the performance, offline tuning and online control, and adaptive control and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms. This is the first book dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics, and future autonomous solving paradigms.
Hands On Artificial Intelligence For Search
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Author : Devangini Patel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-30
Hands On Artificial Intelligence For Search written by Devangini Patel and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Computers categories.
Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Thinking Machines
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Author : Igor Aleksander
language : en
Publisher: Oxford University Press, USA
Release Date : 1987
Thinking Machines written by Igor Aleksander and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Designed for anyone with a general interest in science; students and researchers in computer studies, artificial intelligence, mathematics; psychologists and physiologists interested in attempts to make machines mimic brain function.
Search Methods In Artificial Intelligence
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Author : Deepak Khemani
language : en
Publisher:
Release Date : 2024
Search Methods In Artificial Intelligence written by Deepak Khemani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Artificial intelligence categories.
"Artificial Intelligence as a subject has grabbed a lot of attention after getting a place in the All India Council for Technical Education's (AICTE) list of emerging areas. It was included as an elective/core subject in the undergraduate curriculum of the computer science program by many universities. AI is evolving as a subject and now many colleges are offering separate undergraduate programs in AI. In most universities, the AI course is made up of AI algorithms, machine learning and deep learning. This book is written for readers interested in the algorithms and their usage involved in Artificial Intelligence (AI). There are several aspects important in the study of AI like natural language understanding, knowledge representation, machine learning, image processing, pattern recognition and so on. However the text focusses categorically on cognitive computing, including the areas like knowledge representation, reasoning, and search. It focuses on theoretical analysis of search algorithms, and their implementation and will be useful for both undergraduate and graduate courses offering a degree in AI or where AI is taught as a paper with a focus on search algorithms. The coverage has evolved around the syllabus of the courses like probability and statistics, theory of probability, statistics and so on. The learners taking this course usually struggle with the mathematical concepts and applications of theoretical concepts. The author has tried to bridge this gap with the case-based approach and computer-oriented projects. The MATLAB/Python based exercises and the case study projects in the book will also provide hands-on experience to the students. The author has earnestly made an attempt at creating a path for experiential learning through his book, which is a key takeaway from the Indian New Education Policy, 2020"--
Algorithms And Architectures Of Artificial Intelligence
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Author : Ėnn Kharalʹdovich Tyugu
language : en
Publisher: IOS Press
Release Date : 2007
Algorithms And Architectures Of Artificial Intelligence written by Ėnn Kharalʹdovich Tyugu and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Provides an overview of methods developed in artificial intelligence for search, learning, problem solving and decision making. This book also gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm.
Artificial Intelligence For Advanced Problem Solving Techniques
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Author : Vlahavas, Ioannis
language : en
Publisher: IGI Global
Release Date : 2008-01-31
Artificial Intelligence For Advanced Problem Solving Techniques written by Vlahavas, Ioannis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-31 with Education categories.
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
State Space Search
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Author : Weixiong Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-10-14
State Space Search written by Weixiong Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-14 with Computers categories.
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.
Search Methods For Artificial Intelligence
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Author : Leonard Bolc
language : en
Publisher:
Release Date : 1992
Search Methods For Artificial Intelligence written by Leonard Bolc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This book contains a description of modern search methods that are in use mainly in the field of computer science, though with special stress on artificial intelligence, and go so far as to discuss practical application.