Paradigms of artificial intelligence : a methodological and computational analysis
著者
書誌事項
Paradigms of artificial intelligence : a methodological and computational analysis
Springer-Verlag, c1998
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注記
Includes bibliographical references (p. [303]-322) and indexes
内容説明・目次
内容説明
This book presents a new methodological analysis of two competing research paradigms of artificial intelligence and cognitive science-the symbolic versus the connectionist paradigms. Providing an accessible introduction to the fundamentals of both paradigms, the book derives new objectives for future research that will help to integrate aspects of both areas to obtain more powerful AI techniques and to promote a deeper understanding of cognition.
目次
Preface.- Introduction.- The Symbolic Paradigm: Foundations of the Symbolic Paradigm. Knowledge Representation and Reasoning. Knowledge-Based Systems - Expert Systems. Symbolic Learning. Summary of the Symbolic Paradigm. The Connectionist Paradigm: Foundations of the Connectionist Paradigm. Connectionist Computing Models. Integrating Symbols into Connectionist Models. Summary of the Connectionist Paradigm.- Methodological Analysis of the two Paradigms: Formal Foundations. Levels of Description. The Notion of 'Symbols'. Computational Limitations of Connectionist Computing Models. Methodological Discussion. Non-Factual Knowledge. Conclusions.- Appendix.
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