You are here

Debugging Environment for Complex Cognitive Architectures (DECCA)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-06-C-0137
Agency Tracking Number: F061-067-0652
Amount: $99,546.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF06-067
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-04-14
Award End Date (Contract End Date): 2007-04-14
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Curt Wu
 Principal Software Engineer
 (617) 491-3474
 cwu@cra.com
Business Contact
 Paul Gonsalves
Title: Vice President
Phone: (617) 491-3474
Email: pgonsalves@cra.com
Research Institution
N/A
Abstract

Increasingly, scientists are proposing that a prerequisite for human-level intelligence be a more human-like approach to the underlying hardware platform. These future systems will enable a new generation of cognitive architectures. Such complex cognitive systems will require new tools to support their unique development requirements—especially for testing and debugging. The difficulties anticipated in testing and debugging complex cognitive systems stem from the intrinsic properties of distributed systems that are potentially parallel and adaptive. The solution is a debugging environment that supports a broad range of cognitive architectures, including those that are highly parallel and evolutionary. Specifically, the solution must: • Enable specification of expected behaviors to define the success of tests • Provide the ability to set complex query-based breakpoints • Enable fine control of multiple program flows within the system • Provide test coverage for non-deterministic systems • Support continued learning through redefinition of expected behaviors • Provide greater insight into hidden underlying processes through such techniques as sensitivity analysis and differential debugging Our proposed Debugging Environment for Complex Cognitive Architectures (DECCA) leverages our practical experience in debugging existing cognitive systems and extends our technologies to address the needs of future cognitive architectures.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government