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Cover zur kostenlosen eBook-Leseprobe von »From Bricks to Brains«

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From Bricks to Brains

Athabasca University Press


From Bricks to Brains introduces embodied cognitive science, and illustrates its foundational ideas through the construction and observation of LEGO Mindstorms robots. Discussing the characteristics that distinguish embodied cognitive science from classical cognitive science, From Bricks to Brains places a renewed emphasis on sensing and acting, the importance of embodiment, the exploration of distributed notions of control, and the development of theories by synthesizing simple systems and exploring their behaviour. Numerous examples are used to illustrate a key theme: the importance of an agent’s environment. Even simple agents, such as LEGO robots, are capable of exhibiting complex behaviour when they can sense and affect the world around them.

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Michael Dawson is a professor of psychology at the University of Alberta. He is the author of numerous scientific papers as well as the books Understanding Cognitive Science (1998), Minds and Machines (2004), and Connectionism: A Hands-on Approach (2005).

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Brian Dupuis is a research assistant in psychology at the University of Alberta.

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Michael Wilson is a biology undergraduate at the University of Alberta.

 
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Cover zur kostenlosen eBook-Leseprobe von »Mind, Body, World«

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Mind, Body, World

Athabasca University Press | OPEL (Open Paths to Enriched Learning)


Cognitive science arose in the 1950s when it became apparent that a number of disciplines, including psychology, computer science, linguistics, and philosophy, were fragmenting. Perhaps owing to the field’s immediate origins in cybernetics, as well as to the foundational assumption that cognition is information processing, cognitive science initially seemed more unified than psychology. However, as a result of differing interpretations of the foundational assumption and dramatically divergent views of the meaning of the term information processing, three separate schools emerged: classical cognitive science, connectionist cognitive science, and embodied cognitive science.

Examples, cases, and research findings taken from the wide range of phenomena studied by cognitive scientists effectively explain and explore the relationship among the three perspectives. Intended to introduce both graduate and senior undergraduate students to the foundations of cognitive science, Mind, Body, World addresses a number of questions currently being asked by those practicing in the field: What are the core assumptions of the three different schools? What are the relationships between these different sets of core assumptions? Is there only one cognitive science, or are there many different cognitive sciences? Giving the schools equal treatment and displaying a broad and deep understanding of the field, Dawson highlights the fundamental tensions and lines of fragmentation that exist among the schools and provides a refreshing and unifying framework for students of cognitive science.

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Michael R. W. Dawson is a professor of psychology at the University of Alberta. He is the author of numerous scientific papers as well as the books Understanding Cognitive Science (1998), Minds and Machines (2004), Connectionism: A Hands-on Approach (2005), and From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (2010).

 
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Cover zur kostenlosen eBook-Leseprobe von »Connectionist Representations of Tonal Music«

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Connectionist Representations of Tonal Music

Athabasca University Press


Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three or four pitch-classes, a wildly different interpretation of the components of tonal music.

Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the field of music cognition.

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Michael R. W. Dawson is a professor of psychology at the University of Alberta. He is the author of numerous scientific papers as well as the books Mind, Body, World: Foundations of Cognitive Science (2013) and From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (2010).

 
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