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Springer Process Theories: Crossdisciplinary Studies in Dynamic Categories

Name: Process Theories: Crossdisciplinary Studies in Dynamic Categories
Brand: Springer

AI & Machine Learning

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Processes constitute the world of human experience - from nature to cognition to social reality. Yet our philosophical and scientific theories of nature and experience have traditionally prioritized concepts for static objects and structures. The essays collected here call for a review of the role of dynamic categories in the language of theories. They present old and new descriptive tools for the modelling of dynamic domains, and argue for the merits of process-based explanations in ontology, cognitive science, semiotics, linguistics, philosophy of mind, robotics, theoretical biology, music theory, and philosophy of chemistry and physics. The collection is of interest to professional researchers in any of these fields; it establishes - for the very first time - crossdisciplinary contact among recent process-based research movements and might witness a conceptual paradigm shift in the making.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1402017510
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 31 January 2004
Listed Since: 01 February 2007

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Springer Process Theories: Crossdisciplinary Studies in Dynamic Categories

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