Machine Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 366212405X
Total Pages : 564 pages
Book Rating : 4.6/5 (621 download)

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Book Synopsis Machine Learning by : R.S. Michalski

Download or read book Machine Learning written by R.S. Michalski and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.

Mathematical Problem Solving

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Publisher : Elsevier
ISBN 13 : 1483295486
Total Pages : 426 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Mathematical Problem Solving by : ALAN H. SCHOENFELD

Download or read book Mathematical Problem Solving written by ALAN H. SCHOENFELD and published by Elsevier. This book was released on 2014-06-28 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to people with research interests in the nature of mathematical thinking at any level, topeople with an interest in "higher-order thinking skills" in any domain, and to all mathematics teachers. The focal point of the book is a framework for the analysis of complex problem-solving behavior. That framework is presented in Part One, which consists of Chapters 1 through 5. It describes four qualitatively different aspects of complex intellectual activity: cognitive resources, the body of facts and procedures at one's disposal; heuristics, "rules of thumb" for making progress in difficult situations; control, having to do with the efficiency with which individuals utilize the knowledge at their disposal; and belief systems, one's perspectives regarding the nature of a discipline and how one goes about working in it. Part Two of the book, consisting of Chapters 6 through 10, presents a series of empirical studies that flesh out the analytical framework. These studies document the ways that competent problem solvers make the most of the knowledge at their disposal. They include observations of students, indicating some typical roadblocks to success. Data taken from students before and after a series of intensive problem-solving courses document the kinds of learning that can result from carefully designed instruction. Finally, observations made in typical high school classrooms serve to indicate some of the sources of students' (often counterproductive) mathematical behavior.

Pattern-Directed Inference Systems

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Publisher : Academic Press
ISBN 13 : 1483268381
Total Pages : 673 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Pattern-Directed Inference Systems by : D. A. Waterman

Download or read book Pattern-Directed Inference Systems written by D. A. Waterman and published by Academic Press. This book was released on 2014-05-10 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and controlling rule based systems, methods for obtaining adaptive behavior via rule-based systems and cognitive modeling. Constructing models of human information processing, natural language understanding and multilevel systems and complexity are described as well. The last section discusses the earlier chapters in the book and provides a unifying set of principles for the PDIS formalism. Computer scientists, psychologists, engineers, and researchers in artificial intelligence will find the book very informative.

Explore It!

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Publisher : Pragmatic Bookshelf
ISBN 13 : 1680503502
Total Pages : 245 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis Explore It! by : Elisabeth Hendrickson

Download or read book Explore It! written by Elisabeth Hendrickson and published by Pragmatic Bookshelf. This book was released on 2013-02-21 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncover surprises, risks, and potentially serious bugs with exploratory testing. Rather than designing all tests in advance, explorers design and execute small, rapid experiments, using what they learned from the last little experiment to inform the next. Learn essential skills of a master explorer, including how to analyze software to discover key points of vulnerability, how to design experiments on the fly, how to hone your observation skills, and how to focus your efforts. Software is full of surprises. No matter how careful or skilled you are, when you create software it can behave differently than you intended. Exploratory testing mitigates those risks. Part 1 introduces the core, essential skills of a master explorer. You'll learn to craft charters to guide your exploration, to observe what's really happening (hint: it's harder than it sounds), to identify interesting variations, and to determine what expected behavior should be when exercising software in unexpected ways. Part 2 builds on that foundation. You'll learn how to explore by varying interactions, sequences, data, timing, and configurations. Along the way you'll see how to incorporate analysis techniques like state modeling, data modeling, and defining context diagrams into your explorer's arsenal. Part 3 brings the techniques back into the context of a software project. You'll apply the skills and techniques in a variety of contexts and integrate exploration into the development cycle from the very beginning. You can apply the techniques in this book to any kind of software. Whether you work on embedded systems, Web applications, desktop applications, APIs, or something else, you'll find this book contains a wealth of concrete and practical advice about exploring your software to discover its capabilities, limitations, and risks.

Principles of Artificial Intelligence

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Publisher : Morgan Kaufmann
ISBN 13 : 1483295869
Total Pages : 493 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Principles of Artificial Intelligence by : Nils J. Nilsson

Download or read book Principles of Artificial Intelligence written by Nils J. Nilsson and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

Problem Solving

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Publisher : Psychology Press
ISBN 13 : 1317496000
Total Pages : 369 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Problem Solving by : S. Ian Robertson

Download or read book Problem Solving written by S. Ian Robertson and published by Psychology Press. This book was released on 2016-11-10 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The way that we assess and overcome problems is an essential part of everyday life. Problem Solving provides a clear introduction to the underlying mental processes involved in solving problems. Drawing on research from cognitive psychology and neuroscience, it examines the methods and techniques used by both novices and experts in familiar and unfamiliar situations. This edition has been comprehensively updated throughout, and now features cutting-edge content on creative problem solving, insight and neuroscience. Each chapter is written in an accessible way, and contains a range of student-friendly features such as activities, chapter summaries and further reading. The book also provides clear examples of studies and approaches that help the reader fully understand important and complex concepts in greater detail. Problem Solving fully engages the reader with the difficulties and methodologies associated with problem solving. This book will be of great use to undergraduate students of cognitive psychology, education and neuroscience, as well as readers and professionals with an interest in problem solving.

The Handbook of Artificial Intelligence

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Publisher : Butterworth-Heinemann
ISBN 13 : 1483214397
Total Pages : 659 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis The Handbook of Artificial Intelligence by : Paul R. Cohen

Download or read book The Handbook of Artificial Intelligence written by Paul R. Cohen and published by Butterworth-Heinemann. This book was released on 2014-06-05 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence

The Traveling Salesman Problem and Its Variations

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Publisher : Springer Science & Business Media
ISBN 13 : 0306482134
Total Pages : 837 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis The Traveling Salesman Problem and Its Variations by : G. Gutin

Download or read book The Traveling Salesman Problem and Its Variations written by G. Gutin and published by Springer Science & Business Media. This book was released on 2006-05-02 with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brilliant treatment of a knotty problem in computing. This volume contains chapters written by reputable researchers and provides the state of the art in theory and algorithms for the traveling salesman problem (TSP). The book covers all important areas of study on TSP, including polyhedral theory for symmetric and asymmetric TSP, branch and bound, and branch and cut algorithms, probabilistic aspects of TSP, and includes a thorough computational analysis of heuristic and metaheuristic algorithms.

121 Heuristics for Solving Problems

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Publisher : Lulu.com
ISBN 13 : 1411616898
Total Pages : 348 pages
Book Rating : 4.4/5 (116 download)

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Book Synopsis 121 Heuristics for Solving Problems by : Marco Aurelio de Carvalho

Download or read book 121 Heuristics for Solving Problems written by Marco Aurelio de Carvalho and published by Lulu.com. This book was released on 2004-11-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creative solutions are easily recognizable, after they have been created. But how to attain them? This book is about a promising approach to creative problem solving - the use of heuristics. The main purpose of an heuristic is to make problem solving more efficient, by making past experience - which could guide the generation of new solutions - promptly available. The heuristic approach is widely used in TRIZ (the Theory of Inventive Problem Solving), which is becoming increasingly popular worldwide. Successful results of using heuristics have been reported by companies such as ABB, Bosch, General Motors, Ford, Mitsubishi, Philips, Siemens, among others. With this book, the reader will be able to: - Understand the 121 Heuristics for problem solving, both from their descriptions and from selected examples; - Find the more promising Heuristic(s) for the solution of his/her problems; - Apply the heuristics and find creative solutions to his/her problems.

Encyclopedia of the Sciences of Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 1441914277
Total Pages : 3643 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Encyclopedia of the Sciences of Learning by : Norbert M. Seel

Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Readings in Machine Learning

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558601437
Total Pages : 868 pages
Book Rating : 4.6/5 (14 download)

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Book Synopsis Readings in Machine Learning by : Jude W. Shavlik

Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

Machine Learning Proceedings 1991

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Publisher : Morgan Kaufmann
ISBN 13 : 1483298175
Total Pages : 682 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1991 by : Lawrence A. Birnbaum

Download or read book Machine Learning Proceedings 1991 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning

Machine Learning Proceedings 1988

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Publisher : Morgan Kaufmann
ISBN 13 : 1483297691
Total Pages : 476 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1988 by : John Laird

Download or read book Machine Learning Proceedings 1988 written by John Laird and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1988

Experimental Psychology

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Publisher : Prof. Dr. Bilal Semih Bozdemir
ISBN 13 :
Total Pages : 544 pages
Book Rating : 4./5 ( download)

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Book Synopsis Experimental Psychology by : PressGrup Academician Team

Download or read book Experimental Psychology written by PressGrup Academician Team and published by Prof. Dr. Bilal Semih Bozdemir. This book was released on with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Psychology: Uncovering the Mysteries of the Mind Introduction to Experimental Psychology The Scientific Method and Psychological Research Perception and Sensation Attention and Consciousness Learning and Memory Motivation and Emotion Cognitive Processes: Thinking, Reasoning, and Problem-Solving Social Cognition: Attitudes, Beliefs, and Behaviors Developmental Psychology: From Infancy to Adulthood Personality and Individual Differences Clinical Psychology and Mental Disorders Neuropsychology: The Brain and Behavior Experimental Design and Research Methods Ethical Considerations in Psychological Research

Production System Models of Learning and Development

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Publisher : MIT Press
ISBN 13 : 9780262111140
Total Pages : 492 pages
Book Rating : 4.1/5 (111 download)

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Book Synopsis Production System Models of Learning and Development by : David Klahr

Download or read book Production System Models of Learning and Development written by David Klahr and published by MIT Press. This book was released on 1987 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive psychologists have found the production systems class of computer simulation models to be one of the most direct ways to cast complex theories of human intelligence. There have been many scattered studies on production systems since they were first proposed as computational models of human problem-solving behavior by Allen Newell some twenty years ago, but this is the first book to focus exclusively on these important models of human cognition, collecting and giving many of the best examples of current research. In the first chapter, Robert Neches, Pat Langley, and David Klahr provide an overview of the fundamental issues involved in using production systems as a medium for theorizing about cognitive processes, emphasizing their theoretical power. The remaining chapters take up learning by doing and learning by understanding, discrimination learning, learning through incremental refinement, learning by chunking, procedural earning, and learning by composition. A model of cognitive development called BAIRN is described, and a final chapter reviews John Anderson's ACT theory and discusses how it can be used in intelligent tutoring systems, including one that teaches LISP programming skills. In addition to the editors, the contributors are Yuichiro Anzai (Hokkaido University, Japan), Paul Rosenbloom (Stanford) and Allen Newell (Carnegie-Mellon), Stellan Ohlsson (University of Pittsburgh), Clayton Lewis (University of Colorado, Boulder), Iain Wallace and Kevin Bluff (Deakon University, Australia), and John Anderson (Carnegie-Mellon). David Klahr is Professor and Head of the Department of Psychology at Carnegie-Mellon University. Pat Langley is Associate Professor, Department ofInformation and Computer Science, University of California, Irvine, and Robert Neches is Research Computer Scientist at University of Southern California Information Sciences Institute. "Production System Models of Learning and Development" is included in the series Computational Models of Cognition and Perception, edited by Jerome A. Feldman, Patrick J. Hayes, and David E.Rumelhart. A Bradford Book.

Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes

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Publisher : John Wiley & Sons
ISBN 13 : 9780471650157
Total Pages : 658 pages
Book Rating : 4.6/5 (51 download)

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Book Synopsis Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes by : Douglas Medin

Download or read book Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes written by Douglas Medin and published by John Wiley & Sons. This book was released on 2004-02-05 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in paperback. This revised and updated edition of the definitive resource for experimental psychology offers comprehensive coverage of the latest findings in the field, as well as the most recent contributions in methodology and the explosion of research in neuroscience. Volume Two: Memory and Cognitive Processes, focuses on the neurological and cognitive processes on topics such as memory, decision-making, spatial cognition, linguistics, reasoning, and concepts.

Interactive Task Learning

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Publisher : MIT Press
ISBN 13 : 0262349434
Total Pages : 355 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Interactive Task Learning by : Kevin A. Gluck

Download or read book Interactive Task Learning written by Kevin A. Gluck and published by MIT Press. This book was released on 2019-08-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King