ABSTRACT
On Jagiello et al.'s cultural action framework, end-goal resolvability and causal transparency make possible the transmission of complex technologies through low-fidelity cultural learning. We offer three further features of goal-directed action sequences - specificity, riskiness, and complexity - which alter the effectiveness of low-fidelity cultural learning. Incorporating these into the cultural action framework generates further novel, testable predictions for bifocal stance theory.
Subject(s)
Goals , Motivation , Humans , LearningABSTRACT
Veissière et al. must sacrifice explanatory realism and precision in order to develop a unified formal model. Drawing on examples from cognitive archeology, we argue that this makes it difficult for them to derive the kinds of testable predictions that would allow them to resolve debates over the nature of human social cognition and cultural acquisition.