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[Selma M Kaufman]

Subject: Reprints Available

Identifying and Discriminating Temporal Events with Connectionist Language Users
	Presented at: IEE Conference on Artificial Neural Networks
	(London, October, 1989) 284-286.
Robert B. Allen and Selma M. Kaufman

The "connectionist language user" paradigm is applied to  several
studies of the perception, processing, and description of events.
In one study, a network was trained  to  discriminate  the  order
with which objects appeared in a microworld.  In a second study,
networks were trained to recognize and describe sequences of events
in the  microworld using 'verbs'.  In a third study 'plan recognition'
was modeled. In the final study, networks answered questions that used
verbs of possession.  These results further strengthen the generality
of the approach as a unified model of perception, action, and language.


Back-Propagation as Computational Model of Gestalt Cognition:
	Evidence for a Halo Effect
	Presented at: Second International Symposium on Artificial Intelligence
	(Monterrey, Mexico, October 23-27, 1989).
Robert B. Allen

Connectionist networks show a distinctly different type of processing
than ruled-based approaches.  It is proposed that connectionist networks
resemble the gestalt models of cognition that were popular in the 1950s.
Moreover, a context effect known as the "halo effect", which is a
hallmark of gestalt models of cognition, was modeled.  The effect
was confirmed when networks were required to generate valences
assigned to objects which were presented in the context of other objects.

For paper copies, contact:
Selma Kaufman, 2M-356, Bellcore, 445 South St., Morristown, NJ 07960-1910.
smk at flash.bellcore.com