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UNIVERSAL PLOTKINISM: A REVIEW OF HENRY PLOTKIN'S DARWIN MACHINES AND THE NATURE OF KNOWLEDGE
Author(s) -
Wynne C. D. L.
Publication year - 2001
Publication title -
journal of the experimental analysis of behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.75
H-Index - 61
eISSN - 1938-3711
pISSN - 0022-5002
DOI - 10.1901/jeab.2001.76-351
Subject(s) - darwinism , darwin (adl) , selection (genetic algorithm) , confusion , behaviorism , epistemology , variation (astronomy) , computer science , artificial intelligence , relation (database) , evolutionary theory , cognitive science , natural selection , psychology , philosophy , physics , software engineering , database , astrophysics , psychoanalysis
Plotkin's Darwin Machines and the Nature of Knowledge (1993) is a major contribution to the field of evolutionary epistemology and universal Darwinism. Evolutionary epistemology is the idea that evolution is a knowledge‐gaining process. Universal Darwinism holds that processes of variation and selection can be observed at different levels from the primary level of biological evolution (where genes code for phenotypes) through to individual learning and culture (where the units of variation and selection are not so clear cut). Although antithetical to behaviorism, large parts of Plotkin's thesis can be recast in nonmentalistic terms and exploited by behavior analysts. In particular, Plotkin's arguments for a strong commonality of process between biological evolution and individual learning offer directions for progress on questions that have long interested behavior analysts, such as: Why do some organisms learn? How did learning evolve? What is the relation between behavior and evolution? Although the paths of connection between evolution and individual behavior that Plotkin sketches are not yet fully clear of confusion, his is undoubtedly a very stimulating direction to explore.