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Enaction, Embodiment, Evolutionary Robotics

by Rohde, Marieke.
Authors: SpringerLink (Online service) Series: Atlantis Thinking Machines, 1877-3273 ; . 1 Physical details: XXXIV, 242p. online resource. ISBN: 9491216341 Subject(s): Computer science. | Artificial intelligence. | Computer Science. | Artificial Intelligence (incl. Robotics).
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E-Book E-Book AUM Main Library 006.3 (Browse Shelf) Not for loan

Enactive Cognitive Science -- Methods and Methodology -- Linear Synergies as a Principle in Motor Control -- An Exploration of Value Systems Architectures -- Perceptual Crossing in One Dimension -- Perceptual Crossing in Two Dimensions -- The Embodiment of Time -- An Experiment on Adaptation to Tactile Delays -- Simulating the Experiment on Tactile Delays -- Perceived Simultaneity and Sensorimotor Latencies -- Outlook.

The book “Enaction, Embodiment, Evolutionary Robotics” proposes how a particular kind of simulation model, i.e. Evolutionary Robotics simulations, can help to solve several problems in Cognitive Science. Examples discussed in the book ranges from motor control, neuroscientific theory, social contingency and time perception. It is argued that methodological minimalism can be a merit, not a shortcoming, even when studying something as complex as the human mind. The book concludes by proposing a new minimalist interdisciplinary framework for the study of perception, combining simulation modeling, experimental methods and accounts of subjective experience. This book endorses an enactive and constructivist view on the human mind, in opposition to the traditional information-processing view. Furthermore, the book discusses and presents the enactive approach, clarifies the assets of this view and how it differs from other proposed alternatives to the computationalist paradigm in AI and Cognitive Science, crucial and missing in the ongoing “embodied turn”. The book also presents new experimental results on a number of topics and points out connections between them. Finally, the book proposes a novel framework for the study of perception that combines a number of methods, including computational modeling, in a previously unseen and promising way.

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