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Mechanisms Of Language Acquisition

Author: Brian MacWhinney
Publisher: Psychology Press
ISBN: 1317757408
Size: 73.48 MB
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First published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

Towards A Biolinguistic Understanding Of Grammar

Author: Anne-Marie Di Sciullo
Publisher: John Benjamins Publishing
ISBN: 9027255776
Size: 69.32 MB
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Explores the interaction of grammar with the factors reducing complexity. This book aims to bring about further understanding of the interfaces of the grammar in a broader biolinguistic sense. It anchors the formal properties of grammar at the interfaces between language and biology, language and experience, bringing about language acquisition.

Biological And Behavioral Determinants Of Language Development

Author: Norman A. Krasnegor
Publisher: Psychology Press
ISBN: 1317760018
Size: 18.53 MB
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This book presents a current, interdisciplinary perspective on language requisites from both a biological/comparative perspective and from a developmental/learning perspective. Perspectives regarding language and language acquisition are advanced by scientists of various backgrounds -- speech, hearing, developmental psychology, comparative psychology, and language intervention. This unique volume searches for a rational interface between findings and perspectives generated by language studies with humans and with chimpanzees. Intended to render a reconsideration as to the essence of language and the requisites to its acquisition, it also provides readers with perspectives defined by various revisionists who hold that language might be other than the consequence of a mutation unique to humans and might, fundamentally, not be limited to speech.

Sixth International Conference On Cognitive Modeling

Author: Marsha C. Lovett
Publisher: Psychology Press
ISBN: 1135603138
Size: 18.21 MB
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The International Conference on Cognitive Modeling brings together researchers who develop computational models to explain and predict cognitive data. The core theme of the 2004 conference was "Integrating Computational Models," encompassing an integration of diverse data through models of coherent phenomena; integration across modeling approaches; and integration of teaching and modeling. This text presents the proceedings of that conference. The International Conference on Cognitive Modeling 2004 sought to grow the discipline of computational cognitive modeling by providing a sophisticated modeling audience for cutting-edge researchers, in addition to offering a forum for integrating insights across alternative modeling approaches in both basic research and applied settings, and a venue for planning the future growth of the discipline. The meeting included a careful peer-review process of 6-page paper submissions; poster-abstracts to include late-breaking work in the area; prizes for best papers; a doctoral consortium; and competitive modeling symposia that compare and contrast different approaches to the same phenomena.

Author: 国立国会図書館 (Japan)
Size: 63.60 MB
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Machine Learning

Author: Ryszard S. Michalski
Publisher: Elsevier
ISBN: 008051054X
Size: 45.24 MB
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Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.