Real World Cognitive Multi-Tasking and Problem Solving: A Large Scale Cognitive Architecture Simulation Through High Performance Computing-Project Casie

Abstract

In its grandest sense, Project CASIE explored the development of a computational system capable of high level perception and problem solving that reflects the cognitive processes of the human brain. Most specifically, it concentrated on better understanding and modeling intuition and insight in a computational fashion. The goal was to address the fundamental problem of modeling and solving communities of tasks from a cognitive point of view through multiple problem solving agents working cooperatively or competitively on different subtasks at multiple levels of granularity.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA480207

Entities

People

  • Eugene Santos
  • Kiley Mcevoy
  • Mark Zhang
  • Nael Abu-ghazaleh
  • Vinay Kolar
  • Zhen Guo

Organizations

  • Dartmouth College

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Bernoulli Distribution
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Data Mining
  • Information Science
  • Machine Learning
  • Network Science
  • Probabilistic Models
  • Psychology
  • Random Variables

Readers

  • Artificial Intelligence