Human And Machine Problem Solving

Author : K.J. Gilhooly
Publisher : Springer Science & Business Media
Page : 391 pages
File Size : 45,9 Mb
Release : 2012-12-06
Category : Psychology
ISBN : 9781468480153

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Human and Machine Problem Solving by K.J. Gilhooly Pdf

Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.

Author : K. J. Gilhooly
Publisher : Unknown
Page : 404 pages
File Size : 47,7 Mb
Release : 1989-01-31
Category : Electronic
ISBN : 1468480162

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Human and Machine Problem Solving by K. J. Gilhooly Pdf

Author : Ana-Maria Oltețeanu
Publisher : Springer Nature
Page : 282 pages
File Size : 50,9 Mb
Release : 2020-05-23
Category : Computers
ISBN : 9783030303228

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Cognition and the Creative Machine by Ana-Maria Oltețeanu Pdf

How would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted. The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.

Author : Anonim
Publisher : Academic Press
Page : 573 pages
File Size : 42,6 Mb
Release : 1993-10-22
Category : Computers
ISBN : 9780080863801

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Categorization by Humans and Machines by Anonim Pdf

The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.

Author : William Lawless,Ranjeev Mittu,Donald Sofge
Publisher : Academic Press
Page : 448 pages
File Size : 48,9 Mb
Release : 2020-06-10
Category : Computers
ISBN : 9780128223796

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Human-Machine Shared Contexts by William Lawless,Ranjeev Mittu,Donald Sofge Pdf

Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction

Author : Morton Wagman
Publisher : Praeger
Page : 264 pages
File Size : 48,9 Mb
Release : 2002
Category : Business & Economics
ISBN : UOM:39015054107050

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Problem-Solving Processes in Humans and Computers by Morton Wagman Pdf

Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem- solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers (Praeger, 2000). In this book, Professor Emeritus Morton Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers, (Praeger, 2000) Of special interest to readers will be Wagman's conclusion that artificial intelligence problem-solving systems are deepening and broadening theories of human problem solving from scientific to everyday approaches. Scholars and professionals in psychology, artificial intelligence, and cognitive science will consider this a volume a valuable addition to their collections.

Author : ALAN H. SCHOENFELD
Publisher : Elsevier
Page : 426 pages
File Size : 44,8 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9781483295480

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Mathematical Problem Solving by ALAN H. SCHOENFELD Pdf

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.

Author : Longbing Cao
Publisher : Springer
Page : 348 pages
File Size : 45,6 Mb
Release : 2015-05-29
Category : Computers
ISBN : 9781447165514

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Metasynthetic Computing and Engineering of Complex Systems by Longbing Cao Pdf

Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.

Author : Jean-Michel Hoc,Pietro C. Cacciabue,Erik Hollnagel,P. Carlo Cacciabue
Publisher : Psychology Press
Page : 327 pages
File Size : 42,9 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781134783656

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Expertise and Technology by Jean-Michel Hoc,Pietro C. Cacciabue,Erik Hollnagel,P. Carlo Cacciabue Pdf

Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 43,6 Mb
Release : 2011-04-28
Category : Technology & Engineering
ISBN : 9783642198205

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Granular Computing and Intelligent Systems by Witold Pedrycz,Shyi-Ming Chen Pdf

Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type. The higher order information granularity is concerned with an effective formation of information granules over the space being originally constructed by information granules of lower order. This construct is directly associated with the concept of hierarchy of systems composed of successive processing layers characterized by the increasing levels of abstraction. This idea of layered, hierarchical realization of models of complex systems has gained a significant level of visibility in fuzzy modeling with the well-established concept of hierarchical fuzzy models where one strives to achieve a sound tradeoff between accuracy and a level of detail captured by the model and its level of interpretability. Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets. Higher order and higher type of information granules constitute the focus of the studies on Granular Computing presented in this study. The book elaborates on sound methodologies of Granular Computing, algorithmic pursuits and an array of diverse applications and case studies in environmental studies, option price forecasting, and power engineering.

Author : Paul R. Cohen,Edward A. Feigenbaum
Publisher : Butterworth-Heinemann
Page : 659 pages
File Size : 45,7 Mb
Release : 2014-06-05
Category : Mathematics
ISBN : 9781483214399

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The Handbook of Artificial Intelligence by Paul R. Cohen,Edward A. Feigenbaum Pdf

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

Author : David H. Jonassen
Publisher : Routledge
Page : 466 pages
File Size : 43,5 Mb
Release : 2010-09-13
Category : Education
ISBN : 9781136941894

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Learning to Solve Problems by David H. Jonassen Pdf

This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.

Author : Anonim
Publisher : Unknown
Page : 336 pages
File Size : 46,7 Mb
Release : 1991
Category : Expert systems (Computer science)
ISBN : NASA:31769000469471

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Fourth Annual Workshop on Space Operations Applications and Research (SOAR 90) by Anonim Pdf

Author : for the National Academy of Sciences
Publisher : National Academies Press
Page : 562 pages
File Size : 43,7 Mb
Release : 1994-02-01
Category : Technology & Engineering
ISBN : 0309049881

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Voice Communication Between Humans and Machines by for the National Academy of Sciences Pdf

Science fiction has long been populated with conversational computers and robots. Now, speech synthesis and recognition have matured to where a wide range of real-world applicationsâ€"from serving people with disabilities to boosting the nation's competitivenessâ€"are within our grasp. Voice Communication Between Humans and Machines takes the first interdisciplinary look at what we know about voice processing, where our technologies stand, and what the future may hold for this fascinating field. The volume integrates theoretical, technical, and practical views from world-class experts at leading research centers around the world, reporting on the scientific bases behind human-machine voice communication, the state of the art in computerization, and progress in user friendliness. It offers an up-to-date treatment of technological progress in key areas: speech synthesis, speech recognition, and natural language understanding. The book also explores the emergence of the voice processing industry and specific opportunities in telecommunications and other businesses, in military and government operations, and in assistance for the disabled. It outlines, as well, practical issues and research questions that must be resolved if machines are to become fellow problem-solvers along with humans. Voice Communication Between Humans and Machines provides a comprehensive understanding of the field of voice processing for engineers, researchers, and business executives, as well as speech and hearing specialists, advocates for people with disabilities, faculty and students, and interested individuals.

Author : Karamjit S. Gill
Publisher : Springer Science & Business Media
Page : 415 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447132493

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Information Society by Karamjit S. Gill Pdf

Human-centredness: A Challenge to Post-industrial Europe? The key power in industrial society has been linked to the possession of capital and factory. In the "information society" it could be rather different. If one accepts that that the key power in the information society will be linked not so much to the ownership of information but to human creativity nourished by that information, the productive force of today and tomorrow, could be more and more the human brain. Making use of one's intelligence is always accompanied by positive emotion, which in turn further activates the intelligence. But, unfortunately, under present conditions workers of all levels live in fear, anxiety and stress rather than desire and motivation. The question of "basic human ecology" (quality of life) is, therefore, a major strategic factor. It is precisely the opposite to the mechanisms of exclusion that currently dominate our society: exclusion of young people through joblessness - but also exclusion through technology, as with the helplessness of older people or the poorly educated confronted with ticket dispensing machines or other automats. This is not idle theorizing, it corresponds to concrete facts. It is, for example, how some observers interpret the crisis at IBM. Because its programs were less 'human-friendly', it was shaken to its foundations by Apple and Microsof- though it seems since to have learnt its lesson.