Behaviorism reborn? statistical learning as simple conditioning

Bibtex entry:

@inproceedings{gureckis2007behaviorism,
	abstract = {In recent years, statistical learning (SL) has emerged as a compelling alternative to nativist theories of language acquisition (i.e., Chomsky, 1980). However, in many ways the framework of statistical learning echoes aspects of classic behaviorism by stressing the role of associative learning processes and theenvironment in shaping behavior. How far backwards has the needle swung? In this paper, we show how a subset of behaviors studied under the rubric of SL are in fact entirely consistent with a simple form of conditioned priming inspired by models from the behaviorist tradition (i.e. a variant of Rescola-Wagner which learns associative relationships through time).},
	address = {Austin, TX},
	author = {Gureckis, T.M. and Love, B.C.},
	booktitle = {Proceedings of the 29th Annual Conference of the Cognitive Science Society},
	editor = {McNamara, D. S. and Trafton, J. G.},
	number = {29},
	pages = {335-340},
	publisher = {Cognitive Science Society},
	title = {Behaviorism reborn? statistical learning as simple conditioning},
	volume = {29},
	year = {2007}}

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