Bokus
Jun Tani - Exploring Robotic Minds, Inbunden

Inbunden, Engelska, 2016

Exploring Robotic Minds

Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena

Av Jun Tani

Del i serien Oxford Series on Cognitive Models and Architectures

1916 kr

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Beskrivning
In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Jun Tani sets out to answer an essential and tantalizing question: How do our minds work? By providing an overview of his "synthetic neurorobotics" project, Tani reveals how symbols and concepts that represent the world can emerge in a neurodynamic structure--iterative interactions between the top-down subjective view, which proactively acts on the world, and the bottom-up recognition of the resultant perceptual reality. He argues that nontrivial problems of consciousness and free will could be addressed through structural understanding of such iterative, conflicting interactions between the top-down and the bottom-up pathways. A wide range of readers will enjoy this wonderful journey of the mind and will follow the author on interdisciplinary discussions that span neuroscience, dynamical systems theories, robotics, and phenomenology. The book also includes many figures, as well as a link to videos of Tani's exciting robotic experiments.
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Jun Tani is a Professor in the Department of Electrical Engineering at Korean Advanced Institute of Science and Technology (KAIST).

Recensioner i media

Jun Tani . . . has taken neurorobotics (and perhaps neurophilosophy) to the next level; through the creation (or perhaps tutelage) of robots that show true intentionality and can engage with us (through mimicry), much like a small child. This book is a beautifully articulated review of his work and offers some compelling conclusions about the nature of mind. It is both didactic and groundbreaking; covering the fundaments of representation and embodied cognition through to the emergence of mirror neurons and free will in synthetic brains. In brief, Tani creates a 'perfect storm' by combining three key ingredients; namely, embodiment or enactivism, dynamical systems theory and active recognition or inference.... In short, this is a carefully crafted survey of deep ideas that are substantiated by ingenious experiments in robotics and machine learning.

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