Artificial Intelligence For Advanced Problem Solving Techniques

Author : Vlahavas, Ioannis,Vrakas, Dimitris
Publisher : IGI Global
Page : 388 pages
File Size : 49,5 Mb
Release : 2008-01-31
Category : Education
ISBN : 9781599047072

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Artificial Intelligence for Advanced Problem Solving Techniques by Vlahavas, Ioannis,Vrakas, Dimitris Pdf

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.

Author : George F. Luger
Publisher : Pearson Education
Page : 940 pages
File Size : 54,7 Mb
Release : 2005
Category : Computers
ISBN : 0321263189

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Artificial Intelligence by George F. Luger Pdf

This edition of 'Artificial Intelligence' includes increased coverage of the stochastic approaches to AI and stochastic methodology. Various sections have also been extended to recognize the importance of agent-based problem solving and embodiment in AI technology.

Author : N. J. Nilsson
Publisher : Unknown
Page : 128 pages
File Size : 43,6 Mb
Release : 1977
Category : Electronic
ISBN : OCLC:714301624

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Problem Solving Methods in Artificial Intelligence by N. J. Nilsson Pdf

Author : Danny Kopec,Christopher Pileggi,David Ungar,Shweta Shetty
Publisher : Mercury Learning and Information
Page : 350 pages
File Size : 47,8 Mb
Release : 2016-06-09
Category : Computers
ISBN : 9781944534684

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Artificial Intelligence and Problem Solving by Danny Kopec,Christopher Pileggi,David Ungar,Shweta Shetty Pdf

This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI–type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve. Features: •Addresses AI and problem-solving from different perspectives •Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more •Includes a companion disc with source code, solutions, figures, and more •Offers playability sites where students can exercise the process of developing their solutions •Describes problem-solving methods that might be applied to a variety of situations eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].

Author : Nils J. Nilsson
Publisher : Unknown
Page : 128 pages
File Size : 43,7 Mb
Release : 1982
Category : Electronic
ISBN : OCLC:847779265

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Problem-solving Methods in Artificial Intelligence by Nils J. Nilsson Pdf

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 47,5 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781839212819

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Artificial Intelligence By Example by Denis Rothman Pdf

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Author : Danny Kopec,Shweta Shetty,Christopher Pileggi
Publisher : Mercury Learning and Information
Page : 300 pages
File Size : 41,8 Mb
Release : 2014-04-15
Category : Computers
ISBN : 9781938549328

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Artificial Intelligence Problems and Their Solutions by Danny Kopec,Shweta Shetty,Christopher Pileggi Pdf

This book lends insight into solving some well-known AI problems using the most efficient methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem: 1) a precise description of a well-known AI problem coupled with an effective graphical representation; 2) discussion of possible approaches to solving each problem; 3) identifying and presenting the best known human solution to each problem; 4) evaluation and discussion of the Human Window aspects for the best solution; 5) a playability site where students can exercise the process of developing their solutions, as well as “experiencing” the best solution; 6) code or pseudo-code implementing the solution algorithm, and 7) academic references for each problem. Features: Addresses AI problems well known to computer science and mathematics students from a number of perspectives Covers classic AI problems such as Twelve Coins, Red Donkey, Cryptarithms, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more Includes a companion CD-ROM with source code, solutions, figures, and more Includes playability sites where students can exercise the process of developing their solutions Describes problem-solving methods which may be applied to many problem situations

Author : George F. Luger,William A. Stubblefield
Publisher : Unknown
Page : 274 pages
File Size : 46,8 Mb
Release : 1993
Category : LISP (Lenguaje de programacion)
ISBN : 080534781X

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Instructor's Manual for Artificial Intelligence by George F. Luger,William A. Stubblefield Pdf

Author : George F. Luger,William A. Stubblefield
Publisher : Unknown
Page : 772 pages
File Size : 53,9 Mb
Release : 1993
Category : Artificial intelligence
ISBN : 0805347852

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Artificial Intelligence by George F. Luger,William A. Stubblefield Pdf

Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
Page : 1221 pages
File Size : 43,8 Mb
Release : 2018-09-28
Category : Computers
ISBN : 9781522573692

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Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction by Khosrow-Pour, D.B.A., Mehdi Pdf

As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 3048 pages
File Size : 47,7 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781522517603

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Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
Page : 654 pages
File Size : 49,8 Mb
Release : 2015-11-03
Category : Computers
ISBN : 9781466694750

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Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications by Bhattacharyya, Siddhartha Pdf

Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Author : Donald E. Brown,Chelsea C. White III
Publisher : Springer
Page : 512 pages
File Size : 53,8 Mb
Release : 2011-10-09
Category : Business & Economics
ISBN : 9401074887

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Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies by Donald E. Brown,Chelsea C. White III Pdf

The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.

Author : Yoav Shoham
Publisher : Morgan Kaufmann Pub
Page : 327 pages
File Size : 45,8 Mb
Release : 1994
Category : Computers
ISBN : 1558601678

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Artificial Intelligence Techniques in Prolog by Yoav Shoham Pdf

This unique book is a broad, clear presentation of artificial intelligence (AI) problem-solving techniques. It selects the most important among the well-defined algorithms and procedures in the field, explains them in plain language, and, where appropriate, provides ALGOL-like descriptions of them. Every technique is implemented in Prolog, a language that is quickly learned and allows for easy experimentation in a learning environment. The book includes complete source listings, and the software is available online. This book is ideal for hands-on courses in AI programming. It is also a useful primary or supplementary text in general introductory AI courses and a complete sourcebook for the practitioner.

Author : Samuel Fee,Brian Belland
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 42,5 Mb
Release : 2012-05-26
Category : Education
ISBN : 9781461435402

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The Role of Criticism in Understanding Problem Solving by Samuel Fee,Brian Belland Pdf

In 1991, Denis Hlynka and John Belland released Paradigms Regained, a well received reader for graduate students in the field of educational technology. The Role of Criticism in Understanding Problem Solving updates some of those ideas initially proposed in Paradigms Regained, and extends the conversation into the contemporary discourse regarding problem based learning (PBL). Paradigms proposed the idea of criticism as a third method for the conduction of educational research, the first two being qualitative and qualitative. The concept of criticism as a tool for research is not well established in educational technology, although it is well established in other educational research traditions such as Curriculum Studies. Unfortunately, it is not always clear how criticism can be applied. This book views criticism as a way to step back and look at an educational intervention within educational technology through a particular critical lens. Criticism is viewed as a valuable approach to guiding meta analyses and theoretical studies, serving to prevent the proverbial "spinning of the wheels" that often happens in educational research. By indicating new potential research questions and directions, criticism approaches can invigorate educational research. This book revisits the ideals of criticism in order to establish their usefulness for studying educational technology interventions to support problem based learning. First, a few foundational chapters set the stage for the conversations on criticism. Then, the role criticism can play in enhancing analysis and interpretation of the PBL literature is explored. Finally, case studies addressing the central concepts of the text are presented and dissected. This book represents a complete overhaul and rethinking of the use of criticism as a method for understanding and furthering the research area of PBL within the field of Educational technology.