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Abstract

Die Erforschung des menschlichen Geistes ist eines der spannendsten Unternehmen der Wissenschaft. Die Kognitionswissenschaft erforscht nicht nur abstrakte intellektuelle Leistungen wie etwa das Schachspiel, sondern die ganze Palette der Intelligenz: Sprache, Gedächtnis, Lernen, Wahrnehmung und Bewegung, neuerdings auch Emotionen und Bewusstsein. Diese Einführung bietet eine übersichtliche Darstellung der Entwicklung sowie der zentralen Probleme und Lösungsstrategien dieser neuen Disziplin. Manuela Lenzen studierte Philosophie in Bochum und Bielefeld. Als freie Wissenschaftsjournalistin schreibt sie u. a. für die Frankfurter Allgemeine und die Süddeutsche Zeitung, für die Frankfurter Rundschau und die Zeit.

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Abstract

This book constitutes the refereed proceedings of the 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, held in Loughborough, UK in June 2003. The 81 revised full papers presented were carefully reviewed and selected from more than 140 submissions. Among the topics addressed are soft computing, fuzzy logic, diagnosis, knowledge representation, knowledge management, automated reasoning, machine learning, planning and scheduling, evolutionary computation, computer vision, agent systems, algorithmic learning, tutoring systems, financial analysis, etc.

LCSH

Expert systems (Computer science) / Industrial applications / Congresses

Series

Lecture notes in computer science ; Vol. 2718 : Lecture notes in artificial intelligence

Subject

Expert systems (Computer science) / Industrial applications / Congresses

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Content

Enthält die Kapitel: (E) Vom Neuron zur Psyche; (1) Das Rüstzeug des Geistes: die Revolution der neuen Konnektionisten: (2) Das Puzzlespiel: die Mechanismen des Denkens; (3) Die große Wasserscheide: Gehirnforschung contra Geistesforschung; (4) Wetware: die Anatomie des Erinnerungsvermögens; (5) Wodurch wird ein Neuronenbündel so schlau?: die Wissenschaft von der Komplexität; (6) Der Computer als Autodidakt: wie Neuralnetzwerke das Laufen lernen; (7) Maschinenträume: Neuralnetzwerke im Arbeitseinsatz; (8) Streitbare Denker: der Kampf um die Herzen der Wissenschaftler; (9) Der Musterschüler: NETalk lernt laut lesen

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Abstract

Auch wenn die Autoren der Überzeugung sind, dass noch viele Generationen folgen müssen, um die Leistungsfähigkeit des menschlichen Gehirns zu erreichen, sehen sie doch ein neues Rechen-Zeitalter aufziehen. Es gab Zeiten, da wurden Computer mit ihrer Präzision, Zuverlässigkeit und rasanten Geschwindigkeit der feuchten Materie unseres Gehirns als so weit überlegen angesehen wie das Düsenflugzeug dem Spatzen. Dass diese Zeiten vorbei sind, ist gewiss, denn durch formale Logik inspirierte, algorithmisch gesteuerte und mit digitaler Elektronik realisierte Systeme, die heutigen Computer, stoßen an ihre Komplexitätsgrenzen. Andererseits eröffnen die hier vorgestellten Ergebnisse den Weg zu einer Alternative. Ein Paradigmenwechsel liegt in der Luft: vom fremdorganisierten zum selbstorganisierten Computer.

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Abstract

Ein Buch aus der Anfangszeit der Computer mit vielen Passagen einer semantischen Informationstheorie

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LCSH

Text processing (Computer science)

Subject

Text processing (Computer science)

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LCSH

Computer science

Subject

Computer science

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Abstract

Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the preservation of cultural achievements and their transmission from one generation to the other. During the last few decades, the flod of digitalized information has been growing tremendously. This tendency will continue with the globalisation of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical understanding and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this context, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the generation of natural language expressions from formal representations. This book presents a method for the semantic representation of natural language expressions (texts, sentences, phrases, etc.) which can be used as a universal knowledge representation paradigm in the human sciences, like linguistics, cognitive psychology, or philosophy of language, as well as in computational linguistics and in artificial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.

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Date

24. 8.2016 14:03:22

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Date

18. 6.2018 19:22:02