The Design of a Polymorphous Cognitive Agent Architecture (PCAA)

Abstract

Lockheed Martin Advanced Technology Laboratories (LM-ATL) led a highly qualified and motivated team to research, develop, and validate the Polymorphous Cognitive Agent Architecture (PCAA) as part of DARPA's Architecture for Cognitive Information Processing (ACIP). Our team investigated essential "Cognitive Information Processing" aspects of the architecture ranging from pure cognitive research into the essentials of human level reasoning to computing infrastructures that are essential to be able to transition PCAA into application domains that have a crucial need for this technology. PCAA is a dynamic, adaptive cognitive architecture that makes previously intractable approximation tasks tractable for NP-hard cognitive problems. PCAA consists of: linear composable cognitive agents, a cognitive mark-up language for cognitive behavior definition, a cognitive layer for derivation of cognitive services and specialized cognitive agents, and a next generation polymorphic hardware and software layer for runtime composition and instantiation of cognitive agents.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2008
Accession Number
ADA482357

Entities

People

  • AndrĂ© DeHon
  • Bob Wray
  • Christian Lebiere
  • Jon Russo
  • Jonathan Springer
  • Krishna Jha
  • Mohammed Amduka
  • Rajit Manohar
  • Rami Melhem
  • Richard Lethin

Organizations

  • Lockheed Martin

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Autonomy
  • C4I
  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Birds
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Control Systems
  • Information Processing
  • Ontologies
  • Self Organizing Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.