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Author: Steven Minton
Publisher: Morgan Kaufmann
ISBN: 1483221172
Category : Social Science
Languages : en
Pages : 555
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Book Description
Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning. Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credit assignment and describe tractable classes of problems for which optimal plans can be derived. This book discusses as well how reactive, integrated systems give rise to new requirements and opportunities for machine learning. The final chapter deals with a method for learning problem decompositions, which is based on an idealized model of efficiency for problem-reduction search. This book is a valuable resource for production managers, planners, scientists, and research workers.
Author: Steven Minton
Publisher: Morgan Kaufmann
ISBN: 1483221172
Category : Social Science
Languages : en
Pages : 555
Get Book Here
Book Description
Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning. Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credit assignment and describe tractable classes of problems for which optimal plans can be derived. This book discusses as well how reactive, integrated systems give rise to new requirements and opportunities for machine learning. The final chapter deals with a method for learning problem decompositions, which is based on an idealized model of efficiency for problem-reduction search. This book is a valuable resource for production managers, planners, scientists, and research workers.
Author: Zenon W. Pylyshyn
Publisher: Praeger
ISBN:
Category : Psychology
Languages : en
Pages : 322
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Book Description
This book presents a collection of essays on foundational and methodological issues in cognitive science. Topics range from the philosophical problems surrounding intentionality and holism to specific scientific issues concerned with the architecture of systems for problem solving, planning, language processing, vision and visual-motor coordination. The larger theme is cognitive architecture and the twelve chapters show the generality of the problems associated with this theme as it impinges on almost every area of cognitive science and most methodological approaches adopted to date.
Author: Rajiv Khosla
Publisher: Springer Science & Business Media
ISBN: 3540288961
Category : Business & Economics
Languages : en
Pages : 1473
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Book Description
Annotation The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684constitute the refereed proceedings of the 9th International Conferenceon Knowledge-Based Intelligent Information and Engineering Systems, KES2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected fromnearly 1400 submissions. The papers present a wealth of original researchresults from the field of intelligent information processing in thebroadest sense; topics covered in the first volume are intelligentdesign support systems, data engineering, knowledge engineering andontologies, knowledge discovery and data mining, advanced networkapplication, approaches and methods of security engineering, chancediscovery, information hiding and multimedia signal processing, softcomputing techniques and their applications, intelligent agenttechnology and applications, smart systems, knowledge - based interfacesystems, intelligent information processing for remote sensing, intelligent human computer interaction systems, experience managementand knowledge management, network (security) real-time and faulttolerant systems, advanced network application and real-time systems, and intelligent watermarking algorithms.
Author: Anupam Shukla
Publisher: Springer
ISBN: 364214344X
Category : Technology & Engineering
Languages : en
Pages : 467
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Book Description
Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.
Author: Michael Leyton
Publisher: Springer
ISBN: 3540454888
Category : Computers
Languages : en
Pages : 559
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Book Description
The purpose of this book is to develop a generative theory of shape that has two properties we regard as fundamental to intelligence –(1) maximization of transfer: whenever possible, new structure should be described as the transfer of existing structure; and (2) maximization of recoverability: the generative operations in the theory must allow maximal inferentiability from data sets. We shall show that, if generativity satis?es these two basic criteria of - telligence, then it has a powerful mathematical structure and considerable applicability to the computational disciplines. The requirement of intelligence is particularly important in the gene- tion of complex shape. There are plenty of theories of shape that make the generation of complex shape unintelligible. However, our theory takes the opposite direction: we are concerned with the conversion of complexity into understandability. In this, we will develop a mathematical theory of und- standability. The issue of understandability comes down to the two basic principles of intelligence - maximization of transfer and maximization of recoverability. We shall show how to formulate these conditions group-theoretically. (1) Ma- mization of transfer will be formulated in terms of wreath products. Wreath products are groups in which there is an upper subgroup (which we will call a control group) that transfers a lower subgroup (which we will call a ?ber group) onto copies of itself. (2) maximization of recoverability is insured when the control group is symmetry-breaking with respect to the ?ber group.
Author: Stuart C. Shapiro
Publisher: Wiley
ISBN: 9780471503071
Category : Computers
Languages : en
Pages : 840
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Book Description
Written by 350 specialists in academia, industry and government and covering all fields encompassed by artificial intelligence, this encyclopaedia has been updated and expanded to include developments in the fields of neural networks, fuzzy logic, vision and languages.
Author: Rudolf E. Radocy
Publisher: Charles C Thomas Publisher
ISBN: 0398088055
Category : Music
Languages : en
Pages : 521
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Book Description
The fifth edition of Psychological Foundations of Musical Behavior appears at a time of continuing worldwide anxiety and turmoil. We have learned a lot about human musical behavior, and we have some understanding of how music can meet diverse human needs. In this exceptional new edition, the authors have elected to continue a “one volume” coverage of a broad array of topics, guided by three criteria: The text is comprehensive in its coverage of diverse areas comprising music psychology; it is comprehensible to the reader; and it is contemporary in its inclusion of information gathered in recent years. Chapter organization recognizes the traditional and more contemporary domains, with special emphases on psychoacoustics, musical preference, learning, and the psychological foundations of rhythm, melody, and harmony. Following the introductory preview chapter, the text examines diverse views of why people have music and considers music’s functions for individuals, its social values, and its importance as a cultural phenomenon. “Functional music” and music as a therapeutic tool is discussed, including descriptions and relationships involving psychoacoustical phenomena, giving considerable attention to perception, judgment, measurement, and physical and psychophysical events. Rhythmic behaviors and what is involved in producing and responding to rhythms are explored. The organization of horizontal and vertical pitch, tonality, scales, and value judgments, as well as related pedagogical issues are also considered. The basic aspects of musical performance, improvisation, composition, existing musical preferences and tastes, approaches to studying the affective response to music with particular emphasis on developments in psychological aesthetics are examined. The text closely relates the development and prediction of musical ability, music learning as a form of human learning, and music abnormalities, concluding with speculation regarding future research directions. The authors offer their latest review of aspects of human musical behavior with profound recognition of music’s enduring values.
Author: Eduardo Reck Miranda
Publisher: Springer Nature
ISBN: 3030721167
Category : Computers
Languages : en
Pages : 994
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Book Description
This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
Author: Dennis DeSantis
Publisher:
ISBN: 9783981716504
Category :
Languages : en
Pages : 341
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Book Description
Author: Stephan M. Schwanauer
Publisher: MIT Press
ISBN: 9780262193191
Category : Computers
Languages : en
Pages : 572
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Book Description
Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research. Machine Models of Music brings together representative models ranging from Mozart's "Musical Dice Game" to a classic article by Marvin Minsky and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.Major sections of the book take up pioneering research in generate-and-test composition (Lejaren Hiller, Barry Brooks, Jr., Stanley Gill); composition parsing (Allen Forte, Herbert Simon, Terry Winograd); heuristic composition (John Rothgeb, James Moorer, Steven Smoliar); generative grammars (Otto Laske, Gary Rader, Johan Sundberg, Fred Lerdahl); alternative theories (Marvin Minsky, James Meehan); composition tools (Charles Ames, Kemal Ebcioglu, David Cope, C. Fry); and new directions (David Levitt, Christopher Longuet-Higgins, Jamshed Bharucha, Stephan Schwanauer).Stephan Schwanauer is President of Mediasoft Corporation. David Levitt is the founder of HIP Software and head of audio products at VPL Research.
