title: The abstraction of intervening concepts from experience with multiple input-multiple output causal environments.
abstract: The purpose of this article is threefold: (a) introduce a new paradigm for investigating how intervening concepts are learned, (b) report four new experiments that provide converging evidence for the acquisition of intervening concepts, and (c) propose a simple associative learning mechanism to account for the results. The new paradigm utilizes a stimulus-response-feedback task in which subjects learn trial by trial how a multivariate set of inputs maps into a multivariate set of outputs. The first two experiments use evidence based on a principal component analysis to replicate the finding that intervening-concept learning occurs spontaneously, but only in environments that contain an intervening factor. The next experiment provides a second converging line of evidence for this conclusion by showing that subjects can use an intervening concept to make accurate inferences to a new fourth output during a transfer test. The last experiment provides a third line of evidence by showing that subjects can use an intervening concept to make accurate inferences from a new fourth input. The results are explained by a hidden-unit connectionist learning mechanism that includes both accuracy and parsimony as learning objectives.
authors.affiliation: Department of Psychological Sciences, Purdue University, West Lafayette, IN 47907-1364, USA. jbuse@psych.purdue.edu
authors.forename: J
authors.initials: J
authors.lastname: Busemeyer
authors.forename: M A
authors.initials: MA
authors.lastname: McDaniel
authors.forename: E
authors.initials: E
authors.lastname: Byun
mesh_terms: D001245:Association Learning; D003210:Concept Formation; D004777:Environment; D006801:Humans; D011897:Random Allocation