USA flag logo/image

An Official Website of the United States Government

EasyCog: Affordable and Easy to Develop Cognitive Models

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
92589
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N091-086-0321
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA 02138-4555
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: EasyCog: Affordable and Easy to Develop Cognitive Models
Agency / Branch: DOD / NAVY
Contract: N00014-09-M-0236
Award Amount: $69,945.00
 

Abstract:

Applications that incorporate Human Behavior Models (HBMs) have the potential to improve the training, decision-making, and even the operational effectiveness of US forces. This software can mimic human decision-making, reasoning, learning, social and cultural biases, as well as perceptual, cognitive, and motor limitations in support of many applications, including analysis, simulation-based acquisition, training, and mission rehearsal. Unfortunately, the development of such complex software systems is currently costly, time consuming, and error-prone due to a lack of appropriate high-level languages and corresponding development tools. To improve the affordability, efficiency and robustness of the HBM-development process, we propose to design and demonstrate the feasibility of EasyCog, a high-level cognitive language, compiler, and development environment that is designed to improve the HBM-development process across multiple cognitive architectures. EasyCog combines cognitive, behavioral, social, affect, and cultural models with high-level programming language features to improve the breadth and scalability of HBMs. Visual Editors and Debuggers work at the level of the high-level language to improve the efficiency of model development. Finally, EasyCog can generate configurable source code for a variety of existing cognitive architectures, meaning runtime users can reuse models in a variety of domains based on a single high-level model.

Principal Investigator:

Peter Weyhrauch
Senior Scientist
6174913474
pweyhrauch@cra.com

Business Contact:

Ninos Hanna
Senior Scientist
6174913474
nhanna@cra.com
Small Business Information at Submission:

CHARLES RIVER ANALYTICS, INC.
625 Mount Auburn Street Cambridge, MA 02138

EIN/Tax ID: 042803764
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No