Books [Michael Affenzeller, Stefan Wagner, Stephan Winkler] Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
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Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.
The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical...
Books [Riccardo Poli, William Langdon, Nicholas McPhee] A Field Guide to Genetic Programming
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Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This...
Books [Steven M. LaValle] Planning Algorithms
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Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations...
Books [Richard S. Sutton, Andrew G. Barto] Reinforcement Learning: An Introduction, Second Edition
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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new...
Books [Eva Volna] Introduction to Soft Computing
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This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence.
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Books [Ray Kurzweil] The Age of Intelligent Machines: Can Machines Think?
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Books [Manuel De Landa] War in the Age of Intelligent Machines 2nd Ptg. Edition
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In the aftermath of the methodical destruction of Iraq during the Persian Gulf War, the power and efficiency of new computerized weapons and surveillance technology have become chillingly apparent. For Manuel DeLanda, however, this new weaponry has a significance that goes far beyond military applications; he shows how it represents a profound historical shift in the relation of human beings both to machines and to information. The recent emergence of intelligent and autonomous bombs and missiles equipped with artificial perception and decision-making capabilities is, for Delanda, part of a much larger transfer of cognitive...
Books [Ray Kurzweil] Essay collection
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Books [Ray Kurzweil] The Age of Spiritual Machines: When Computers Exceed Human Intelligence
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NATIONAL BESTSELLER • Bold futurist Ray Kurzweil, author of The Singularity Is Near, offers a framework for envisioning the future of machine intelligence—“a book for anyone who wonders where human technology is going next” (The New York Times Book Review).
“Kurzweil offers a thought-provoking analysis of human and artificial intelligence and a unique look at a future in which the capabilities of the computer and the species that invented it grow ever closer.”—BILL GATES
Imagine a world where the difference between man and machine blurs, where the line between humanity and technology fades, and where the soul and the silicon chip...
Books [Ray Kurzweil] The Age of Intelligent Machines
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Winner, 1990, category of Computer Science, Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc.
In The Age of Intelligent Machines, inventor and visionary computer scientist Raymond Kurzweil probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence and truly prodigious speed and memory. Generously illustrated and easily accessible to the nonspecialist, this book provides the background needed for a full understanding of the enormous...
Books [George F. Luger] Artificial Intelligence: Structures and Strategies for Complex Problem Solving
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Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI.
In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to...
Books [Mike Sharples, David Hogg, Steve Torrance, David Young, Chris Hutchinson] Computers and Thought: A Practical Introduction to Artificial Intelligence
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Computers and Thought provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background. It presents an original extended AI programming project - the Automated Tourist Guide exercise throughout the main chapters of the text to illustrate the material covered and show how AI actually works. Most chapters illustrate a particular AI topic, with sections on the background to the topic, methods, applications, and the limitations of previous proposals. In addition, there are end of chapter summaries and graded exercises, suggested readings, a glossary, and an appendix on...
Books [Manoel V. M. França] Introduction to Inductive Logic Programming
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Books [R. M. de Wolf] Contributions to Inductive Logic Programming
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Books [Roberto Battiti, Mauro Brunato] The LION Way: Machine Learning plus Intelligent Optimization, Version 4.0
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Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits.LION's adoption will create a prairie fire of...
Books [Roberto Battiti, Mauro Brunato] The LION Way: Machine Learning plus Intelligent Optimization, Version 3.0
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Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits.LION's adoption will create a prairie fire of...
Books [David Beyer] The Future of Machine Intelligence: Perspectives from Leading Practitioners
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Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and wide-ranging that even its definition can change from one person to the next.
The series of interviews in this exclusive report unpack concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.
In these interviews, these ten practitioners and theoreticians...
Books [Rebecca E. Skinner] Building the Second Mind, 1961-1980: From the Ascendancy of ARPA to the Advent of Commercial Expert Systems
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The topic of Building the Second Mind, 1961-1980: From the Ascendancy of ARPA to the Advent of Commercial Expert Systems is the development during the 1960s and 1970s of AI, the field that sought to get computers to do things that would be considered intelligent if a person did them. In the late 1950s, the field was founded and began to undertake extremely rudimentary logic and problem-solving programs. In the 1960s, the immense growth in funding given to the field of computing, the development of integrated circuits for mainframe computing, and the increasing numbers of people in AI and in computer science in general, tremendously...
Books [Nils J. Nilsson] The Quest for Artificial Intelligence: A History of Ideas and Achievements
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today’s AI engineers. AI is becoming more and more a part of everyone’s life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book’s many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an...
Books [Christopher M. Bishop] Pattern Recognition and Machine Learning
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This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained...
Books [Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez] Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks
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This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting...
Books [Pedro Ponce, Arturo Molina Gutierrez, Jaime Rodriguez] New Applications of Artificial Intelligence
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This book has a complete set of applications of artificial neural networks that allow the reader to gain experience about the new systems for implementing and developing artificial intelligence (Ai) methods, which can run in several digital systems. On the other hand, the book shows the newest algorithms of artificial intelligence that provide a wide spectrum of research areas in which Ai can be deployed. There are a lot of books that address Ai applications. However, this book shows the newest applications reached according with the technological changes that are presented nowadays. Those changes drastically appear in digital...
Books [David Poole, Alan Mackworth] Artificial Intelligence: Foundations of Computational Agents 3 edition
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Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately...
Books [Hadelin de Ponteves] AI Crash Course: A Fun and Hands-on Introduction to Machine Learning
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Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves.
Key Features
- Learn from friendly, plain English explanations and practical activities
- Put ideas into action with 5 hands-on projects that show step-by-step how to build intelligent software
- Use AI to win classic video games and construct a virtual self-driving car
Book Description
Welcome to the Robot World ... and start building intelligent software now!Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his...
Books [Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv] AI based Robot Safe Learning and Control
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This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the...
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