Die Wissenschaften vom K nstlichen

Author: Herbert A. Simon
Publisher: Springer
ISBN: 9783709193839
Format: PDF, Kindle
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Die Wissenschaften vom Künstlichen von Herbert A. Simon gilt seit dem Erscheinen der ersten Ausgabe im Jahr 1969 als "Klassiker" der Literatur zum Thema Künstliche Intelligenz. Simon hat zusammen mit den Computerwissenschaftlern Allen Newell, Marvin Minsky und John McCarthy Mitte der fünfziger Jahre das so bezeichnete - von Alan Turing antizipierte - Forschungsgebiet der Computerwissenschaft und der Psychologie ins Leben gerufen. Seine herausragende, allgemeinverständliche Darstellung von Grundüberlegungen und philosophischen Aspekten der Künstlichen Intelligenz ist heute aktueller denn je, nicht nur wegen der ständig zunehmenden Bedeutung der Forschung und Entwicklung auf diesem Gebiet, sondern auch aufgrund des verbreiteten Mangels an Grundkenntnissen für eine kritische Auseinandersetzung mit der Künstlichen Intelligenz.

The Sciences of the Artificial

Author: Herbert A. Simon
Publisher: MIT Press
ISBN: 9780262264495
Format: PDF, Docs
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Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools—chaos, adaptive systems, genetic algorithms—for analyzing complexity and complex systems. There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems.

Complexity and the Economy

Author: John H. Finch
Publisher: Edward Elgar Publishing
ISBN: 9781845428044
Format: PDF, Mobi
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The internationally-renowned contributors to this book examine the causes and consequences of complexity among the broadly economic phenomena of firms, industries and socio-economic policy. They make a valuable contribution to the increasingly prominent subject of complexity, especially for those whose interests include evolutionary, behavioral, political and social approaches to understanding economics and economic phenomena.

Quo vadis Wirtschaftsinformatik

Author: Reinhard Jung
Publisher: Springer-Verlag
ISBN: 3834998559
Format: PDF, Mobi
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Renommierte Wissenschaftler und Praktiker nehmen aus verschiedenen Perspektiven Stellung zu Bedeutung, Positionierung und zukünftiger Ausrichtung der Wirtschaftsinformatik.

Kompendium multimediales Lernen

Author: Helmut M. Niegemann
Publisher: Springer-Verlag
ISBN: 3540372261
Format: PDF
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Multimedia ist aus modernem Lehren und Lernen nicht mehr wegzudenken. Wie lässt sich die Qualität neuer multimedialer Angebote sicherstellen? Welche Standards gibt es? Welche didaktischen Ansätze sind effektiv? Welche aktuellen lehr- und lernpsychologischen Theorien und Befunde sind hilfreich bei der Konzeption, welche technischen Fragen zu berücksichtigen? 33 Kapitel stellen alle wesentlichen Aspekte dar: u.a. Planung, Konzeption (mit didaktischen Entwurfsmustern, sog. design patterns), Interaktivitätsformen, CSCL, Evaluation, Softwaresysteme, Werkzeuge (z.B. Authoring Tools). Ein fundiertes Kompendium für Lehrende, Entwickler und Anwender.

Assessment in Science

Author: Maureen McMahon
Publisher: NSTA Press
ISBN: 1933531002
Format: PDF, ePub, Mobi
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If you want the latest research about assessment techniques that really work, you want Assessment in Science. This collection of informative, up-to-date reports is by authors who are practicing K - 12 classroom teachers and university-based educators and researchers. Working in teams, they tried out and evaluated different assessment approaches in actual classrooms. The research is sound, but that doesn't mean it's hard to grasp. The book stays true to its title by capturing practical lessons in accessible language. As the introduction notes, the reports feature "classroom testing stories, standards-based assessment techniques, teaching-testing dilemmas, portfolio struggles and triumphs, and knowledge of the research on assessment." The 18 chapters are structured for ease of comprehension, moving from a detailed description of how the research was carried out, to research finding, to concrete implications for the classroom. There is also a "Links to Standards" box and resources list in each chapter. Included throughout are 28 tables and 25 figures, some of which are classroom rubrics teachers can actually use. Though it's enlightening for classroom teachers at all levels, Assessment in Science is also ideal for curriculum supervisors and professors who teach science education, and anyone else who needs to know what's most current in proven assessment techniques.

Generative Social Science Studies in Agent Based Computational Modeling

Author: Joshua M. Epstein
Publisher: Princeton University Press
ISBN: 1400842875
Format: PDF, Docs
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Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.

Artificial Intelligence

Author: David L. Poole
Publisher: Cambridge University Press
ISBN: 1108171028
Format: PDF
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Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.

Stalking the Black Swan

Author: Kenneth A. Posner
Publisher: Columbia University Press
ISBN: 9780231521673
Format: PDF
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Kenneth A. Posner spent close to two decades as a Wall Street analyst, tracking the so-called "specialty finance" sector, which included controversial companies such as Countrywide, Fannie Mae, Freddie Mac, CIT, and MasterCard many of which were caught in the subprime mortgage and capital markets crisis of 2007. While extreme volatility is nothing new in finance, the recent downturn caught many off guard, indicating that the traditional approach to decision making had let them down. Introducing a new framework for handling and evaluating extreme risk, Posner draws on years of experience to show how decision makers can best cope with the "Black Swans" of our time. Posner's shrewd assessment combines the classic fundamental research approach of Benjamin Graham and David Dodd with more recent developments in cognitive science, computational theory, and quantitative finance. He outlines a probabilistic approach to decision making that involves forecasting across a range of scenarios, and he explains how to balance confidence, react accurately to fast-breaking information, overcome information overload, zero in on the critical issues, penetrate the information asymmetry shielding corporate executives, and integrate the power of human intuition with sophisticated analytics. Emphasizing the computational resources we already have at our disposal our computers and our minds Posner offers a new track to decision making for analysts, investors, traders, corporate executives, risk managers, regulators, policymakers, journalists, and anyone who faces a world of extreme volatility.