This is a project to develop a special-purpose computer called SNAP for inference in semantic networks and rule-based systems. Each node of the network will be held in one processor within a mesh of processors. The processors are specialized for semantic net processing; they can search in parallel for nodes with specified relations to other nodes. In this one-year project, detailed design and simulations are being performed to determine the suitability of SNAP for real-world problems and to identify system bottlenecks.

Project Start
Project End
Budget Start
1989-06-01
Budget End
1990-09-30
Support Year
Fiscal Year
1989
Total Cost
$149,846
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90089