technical report

[Michael Jordan]

The following technical report is available:


       Forward Models: Supervised Learning with a Distal Teacher

			  Michael I. Jordan
	         Massachusetts Institute of Technology

			  David E. Rumelhart
			 Stanford University

		   MIT Center for Cognitive Science
			 Occasional Paper #40

			       Abstract

	Internal models of the environment have an important role to
   play in adaptive systems in general and are of particular importance
   for the supervised learning paradigm.  In this paper we demonstrate
   that certain classical problems associated with the notion of the 
   ``teacher'' in supervised learning can be solved by judicious use 
   of learned internal models as components of the adaptive system.  
   In particular, we show how supervised learning algorithms can be 
   utilized in cases in which an unknown dynamical system intervenes 
   between actions and desired outcomes.  Our approach applies to any 
   supervised learning algorithm that is capable of learning in multi-
   layer networks.


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	--Mike Jordan