Natural selection and social learning in Prisoner's dilemma:Coadaptation with genetic algorithms and artificial neural networks  

Oleh:

Macy, Michael

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 25 no. 01 (Aug. 1996), page 103-137.

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Evolutionary game theory has been used to study the viability of cooperation in a predatory world. Although previous studies have helped to identify robust strategies, little is known about how success translates into the reproduction of cultural rules. Analogs of genetic replication may be deceptive if social learning and natural selection engender different population dynamics. The author distinguished selection and learning based on whether rules art hardwired or softwired in the organisms that carry them. The author then used genetic algorithms and artificial neural networks to operationalize the distinction. Applied for the first time to iterated Prisoner's Dilemma. neural network experiments showed that researchers may need to be much more cautious in using Darwinian analogs as templates for modeling the evolution of cultural rules.

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