Design Computing and Cognition `08, John S. Gero; Ashok K. Goel

Автор: John S. Gero
Название: Design Computing and Cognition `12
ISBN: 9401791112 ISBN-13(EAN): 9789401791113
Издательство: Springer
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Описание: Design thinking, the label given to the acts of designing, has become a paradigmatic view that has transcended the discipline of design and is now widely used in business and elsewhere.

Автор: John S. Gero; Sean Hanna
Название: Design Computing and Cognition `14
ISBN: 3319149555 ISBN-13(EAN): 9783319149554
Издательство: Springer
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Описание: This interdisciplinary coverage, which includes material from international research groups, examines design synthesis, design cognition, design creativity, design processes, design theory, design grammars, design support and design ideation.Overall, the papers provide a bridge between design computing and design cognition.

Автор: John S. Gero; Ashok K. Goel
Название: Design Computing and Cognition `08
ISBN: 9401782571 ISBN-13(EAN): 9789401782579
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Цена: 32004.00 р.
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Описание: The importance of research and education in design continues to grow. There are now three sources for design research: design computing, design cognition and human-centered information technology.

Автор: John S. Gero
Название: Design Computing and Cognition `10
ISBN: 9400798474 ISBN-13(EAN): 9789400798472
Издательство: Springer
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Описание: The papers are grouped under the following nine headings, describing both advances in theory and application and demonstrating the depth and breadth of design computing and design cognition: Design Cognition;

Автор: Asko Riitahuhta
Название: Design Computing and Cognition `06
ISBN: 9400792603 ISBN-13(EAN): 9789400792609
Издательство: Springer
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Описание: This is the second volume of the new conference series Design Computing and Cognition (DCC), successor to the successful series Artificial Intelligence in Design (AID).

Автор: Asko Riitahuhta
Название: Design Computing and Cognition `04
ISBN: 9048166500 ISBN-13(EAN): 9789048166503
Издательство: Springer
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Цена: 33401.00 р.
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Описание: This forms the basis of a newly emergent field called "design cognition" that draws partly on cognitive science.This new conference series aims to provide a bridge between the two fields of "design computing" and "design cognition".

Автор: Parmee, Ian C. (advanced Computational Technologies, Exeter, Uk)
Название: Evolutionary and adaptive computing in engineering design
ISBN: 1447110617 ISBN-13(EAN): 9781447110613
Издательство: Springer
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Цена: 24456.00 р.
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Описание: Prior to the early 1990s the term 'evolutionary computing' (EC) would have meant little to most practising engineers unless they had a particular interest in emerging computing technologies or were part of an organisation with significant in-house research activities. It was around this time that the first tentative utilisation of relatively simple evolutionary algorithms within engineering design began to emerge in the UK The potential was rapidly recognised especially within the aerospace sector with both Rolls Royce and British Aerospace taking a serious interest while in the USA General Electric had already developed a suite of optimisation software which included evolutionary and adaptiv, e search algorithms. Considering that the technologies were already twenty-plus years old at this point the long gestation period is perhaps indicative of the problems associated with their real-world implementation. Engineering application was evident as early as the mid-sixties when the founders of the various techniques achieved some success with computing resources that had difficulty coping with the population-based search characteristics of the evolutionary algorithms. Unlike more conventional, deterministic optimisation procedures, evolutionary algorithms search from a population of possible solutions which evolve over many generations. This largely stochastic process demands serious computing capability especially where objective functions involve complex iterative mathematical procedures

Автор: I.C. Parmee
Название: Adaptive Computing in Design and Manufacture V
ISBN: 1852336056 ISBN-13(EAN): 9781852336059
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The Adaptive Computing in Design and Manufacture Conference series is now in its tenth year and has become a well-established, application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing.

Автор: D.E. Grierson; P. Hajela
Название: Emergent Computing Methods in Engineering Design
ISBN: 3540608737 ISBN-13(EAN): 9783540608738
Издательство: Springer
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Цена: 34799.00 р.
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Описание: Includes papers that show the tremendous potential of emerging computing paradigms such as genetic algorithms, evolutionary computing, and neural networks for solving problems of engineering design.

Автор: Ian C. Parmee
Название: Adaptive Computing in Design and Manufacture
ISBN: 354076254X ISBN-13(EAN): 9783540762546
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The third evolutionary I adaptive computing conference organised by the Plymouth Engineering Design Centre (PEDC) at the University of Plymouth again explores the utility of various adaptive search algorithms and complementary computational intelligence techniques within the engineering design and manufacturing domains.

Автор: I.C. Parmee
Название: Adaptive Computing in Design and Manufacture VI
ISBN: 1852338296 ISBN-13(EAN): 9781852338299
Издательство: Springer
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Описание: The Adaptive Computing in Design and Manufacture conference series has become a well-established, largely application-oriented meeting recognised by several UK Engineering Institutions and the International Society of Genetic and Evolutionary Computing.

Автор: Pravir K. Chawdhry; Rajkumar Roy; Raj K. Pant
Название: Soft Computing in Engineering Design and Manufacturing
ISBN: 3540762140 ISBN-13(EAN): 9783540762140
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and *evolutioo of the computing strategies of the learning agent itself.