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Intelligent decision making through a simulation of evolution
Author(s) -
Fogel Lawrence J.,
Owens Alvin J.,
Walsh Michael J.
Publication year - 1966
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830110403
Subject(s) - survival of the fittest , selection (genetic algorithm) , natural selection , computer science , mutation , state (computer science) , process (computing) , finite state machine , artificial intelligence , machine learning , algorithm , biology , evolutionary biology , biochemistry , gene , operating system
A computer replaces the Galapagos Islands as the authors take finite‐state machines through a simulated process of evolution and natural selection. Random mutation of an arbitrary machine yields an offspring. The machines then compete and, given available history and a goal to achieve, the machine that gets the higher score thus survives as the fittest and is selected as the new parent. Mutation and selection are continued, with real‐time decisions being based upon the logic of the surviving machines.