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The Brain-machine Disanalogy Revisited by Bernard P. Zeigler is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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Michael Conrad was a pioneer in investigating biological information processing. He believed that there are fundamental lessons to be learned from the structure and behavior of biological brains that we are far from understanding or have implemented in our computers. Accumulation of advances in several fields have confirmed his views in broad outline but not necessarily in some of the strong forms he had tried to establish. For example, his assertion that programmable computers are intrinsically incapable of the brain's efficient and adaptive behavior has not received much examination. Yet, this is clearly a direction that could afford much insight into fundamental differences between brain and machine. In this paper, we pay tribute to Michael, by examining his pioneering thoughts on the brain-machine disanalogy in some depth and from the hindsight of a decade later. We argue that as long as we stay within the frame of reference of classical computation, it is not possible to confirm that programmability places a fundamental limitation on computing power, although the resources required to implement a programmable interface leave fewer resources for actual problem-solving work. How

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Author

Bernard P. Zeigler

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0303-2647)

Published

2002

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)