Reinforcing Connectionism: Learning the Statistical Way. Dayan, P. S.
abstract   bibtex   
Connectionism's main contribution to cognitive science will prove to be the renewed impetus it has imparted to learning. Learning can be integrated into the existing theoretical foundations of the subject, and the combination, statistical computational theories, provide a framework within which many connectionist mathematical mechanisms naturally fit. Examples from supervised and reinforcement learning demonstrate this.
@article{dayan_reinforcing_nodate,
	title = {Reinforcing {Connectionism}: {Learning} the {Statistical} {Way}},
	abstract = {Connectionism's main contribution to cognitive science will prove to be the renewed impetus it has imparted to learning. Learning can be integrated into the existing theoretical foundations of the subject, and the combination, statistical computational theories, provide a framework within which many connectionist mathematical mechanisms naturally fit. Examples from supervised and reinforcement learning demonstrate this.},
	language = {en},
	author = {Dayan, Peter Samuel},
	pages = {189}
}
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