The Design And Implementation Of Massively Parallel Knowledge Representation And Reasoning Systems: A Connectionist Approach

The Design And Implementation Of Massively Parallel Knowledge Representation And Reasoning Systems: A Connectionist Approach (1996)

by D. R. Mani

Citations:

8 - 1 self

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Datum	Value	Source
TITLE	The Design And Implementation Of Massively Parallel Knowledge Representation And Reasoning Systems: A Connectionist Approach	user correction - Legacy Corrections
AUTHOR NAME	D. R. Mani	user correction
AUTHOR AFFIL	Army Research Center at the University of Pennsyl...	user correction
ABSTRACT	Efficient knowledge representation and reasoning is an important component of intelligent activity, and is a crucial aspect in the design of large-scale intelligent systems. This dissertation explores the design, analysis, and implementation of massively parallel knowledge representation and reasoning systems which can encode very large knowledge bases and respond to a class of queries in real-time, with reasoning episodes expected to span a fraction of a second. The dissertation attempts to design efficient, large-scale knowledge base systems by: (i) exploiting massive parallelism; and (ii) constraining representational and inferential capabilities to achieve tractability, while still retaining sufficient expressive power to capture a broad class of reasoning in intelligent systems. To this end, shruti, a connectionist reasoning system which models reflexive--- i.e., effortless and spontaneous---reasoning serves as the knowledge representation and reasoning framework. Shruti-based mas...	user correction - Legacy Corrections
YEAR	1996	user correction
VENUE TYPE	TECHREPORT	INFERENCE
TECH	PhD thesis	INFERENCE
CITATIONS	164 found	ParsCit 1.0