Net-centric ACT-R-Based Cognitive Architecture with DEVS Unified Process

Abstract

Air Force Research Lab (AFRL) research efforts employing cognitive and behavioral modeling are growing in scope and complexity as they work to integrate models into larger distributed systems as cognitive agents, synthetic teammates or human operator surrogates. Efforts to transition cognitive modeling from the laboratory to operational environments are stymied by the isolated nature of current cognitive modeling software tools that are not readily extensible, interoperable or scalable e.g. ACT-R. In this paper, we describe an attempt to build a component-based architecture using the Discrete Event Systems Unified Process (DUNIP) on a distributed net-centric platform that eliminates these impediments. We show how the ACT-R architecture is extensible and can serve as a component in larger net-centric systems of systems frameworks such as Department of Defense Architecture Framework. We will also address the issue of platform independent modeling and how Domain Specific Languages (DSLs) can be integrated within DUNIP. We then demonstrate how developing the architecture and related software infrastructure in DUNIP gives it net-centric capabilities that support large-scale integration.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2011
Accession Number
ADA571069

Entities

People

  • Saurabh Mittal
  • Scott A. Douglas

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Cognition
  • Computer Programming
  • Computing System Architectures
  • Department Of Defense
  • Engineering
  • Environment
  • Infrastructure
  • Language
  • Lisp Programming Language
  • Military Research
  • Simulators
  • Standards
  • System Of Systems
  • Systems Engineering
  • Web Service

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.