Traditionally, in robotics, artificial intelligence, and neuroscience, there has been a focus on the study of the control or the neural system itself. Recently there has been an increasing interest into the notion of embodiment not only in robotics and artificial intelligenc, but also in the neurosciences, psychology, and philosophy. In this paper, we introduce the notion of morphological computation and demonstrate how it can be exploited on the one hand for designing intelligent, adaptive robotic systems, and on the other for understanding natural systems. While embodiment has often been used in its trivial meaning, i.e. "intelligence requires a body", the concept has deeper and more important implications, concerned with the relation between physical and information (neural, control) processes. Morphological computation is about connecting body, brain and environment. A number of case studies are presented to illustrate the concept. We conclude with some speculations about potential lessons for neuroscience and robotics.
CITATION STYLE
Pfeifer, R. (2006). Morphological Computation – Connecting Brain, Body, and Environment (pp. 3–4). https://doi.org/10.1007/11941439_2
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