BISC: BISC Seminar: Oct 31, 2000.Seeking coherent explanations-taking a cue from the b


Subject: BISC: BISC Seminar: Oct 31, 2000.Seeking coherent explanations-taking a cue from the b
From: Masoud Nikravesh (mnikravesh@msn.com)
Date: Thu Oct 26 2000 - 20:28:37 MET DST


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Berkeley Initiative in Soft Computing (BISC)
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Seeking coherent explanations
taking a cue from the brain

BISC Seminar
Lokendra Shastri
International Computer Science Institute
1947 Center Street, Suite 600
Berkeley, CA 94704
Oct 31, 2000
405 Soda Hall
4:00-5:00pm

Abstract:

Consider the task of understanding language wherein squiggles on a surface
or fluctuations in air-pressure are mapped by the reader or
hearer into coherent mental descriptions of events and situations. The
process underlying this mapping involves, among other things,
drawing rapid inferences based on common sense knowledge to establish causal
relationships among various events mentioned in the
discourse and to keep track of various entities introduced in the discourse.
For example, given the narrative: ``John fell in the hallway.
Tom had cleaned it. He got hurt.'' most of us would infer that *John* got
hurt, Tom had cleaned the *hallway*, and John fell because he
slipped on the wet hallway floor. I will describe, SHRUTI, a neurally
motivated computational model capable of reflexively (rapidly
and spontaneously) drawing inferences to establish causal and referential
coherence. Predictions made by the model about the nature of reflexive
inference will also be discussed.

BIO

Lokendra Shastri is a Member of the AI Group at the International
Computer Science Institute (ICSI) Berkeley, CA.
He is interested in neurally motivated computational models of
learning, knowledge representation, and inference; spatio-temporal
connectionist networks; the role of temporal synchrony in neural
information processing; and episodic memory.
See http://www.icsi.berkeley.edu/~shastri for additional information.

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