Blackboxing: social learning strategies and cultural evolution

作者：Heyes Cecilia^*

来源：Philosophical Transactions of the Royal Society B-Biological Sciences, 2016, 371(1693): 20150369.

DOI：10.1098/rstb.2015.0369

• asocial learning
• associative learning
• blackboxing
• cultural evolution
• metacognition
• social learning strategies

Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions about when they should copy other agents, and who they should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the 'phenotypic gambit'; ignoring, or remaining deliberately agnostic about, the nature and origins of the cognitive processes that implement SLSs. Here I argue that this 'blackboxing' of SLSs is no longer a viable scientific strategy. It has contributed, through the 'social learning strategies tournament', to the premature conclusion that social learning is generally better than asocial learning, and to a deep puzzle about the relationship between SLSs and cultural evolution. The puzzle can be solved by recognizing that whereas most SLSs are 'planetary' they depend on domain-general cognitive processes some SLSs, found only in humans, are 'cook-like' they depend on explicit, metacognitive rules, such as copy digital natives. These metacognitive SLSs contribute to cultural evolution by fostering the development of processes that enhance the exdusivity, specificity, and accuracy of social learning.

• 出版日期2016-5-5