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Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives) by Philip E. Agre is a nonfiction available to read on EtoBox.

What is Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives) about?

During the 1980s, there were two main approaches to the computational study of human intelligence. The first, and largest, was the symbolic approach, derived from the work of Church and Turing, and later championed by two giants in the field, Simon and Newell. These researchers formulated the Physical Symbol System Hypothesis, according to which all of human intelligence can be expressed as a process of search in a symbolic state space transformed through the use of equally discrete operators. The other camp, mostly hiding in the shadows for much of this time, derived from control theory and the servomechanisms of WWII. They held that the human brain was not a discrete symbol-processing entity but rather something constantly in direct contact with a continuous world. Although this group found its closest computational champions in Rosenblatt and Rumelhart, it paled in comparison to the promises and research invested early on in the symbolic approach. Agre's book, Computation and Human Experience, was written as a call to arms for researchers in the symbolic tradition, a challenge to critically re-evaluate their own ideas and methods. In contrast to the "mentalist" juggernaut,

Who reads Computation and Human Experience (Learning in Doing: Social, Cognitive and Computational Perspectives)?

Author

Philip E. Agre

Publisher

Cambridge University Press (Virtual Publishing)

Published

1997

Language

EN

ISBN

9780511571169

Category

nonfiction

Subjects

Science, Mathematics, Computer Science