Accession Number:

ADA482278

Title:

A Hybrid Cognitive-Reactive Multi-Agent Controller

Descriptive Note:

Conference paper

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE

Report Date:

2002-10-01

Pagination or Media Count:

7.0

Abstract:

The purpose of this paper is to introduce a hybrid cognitive-reactive system, which integrates a machine- learning algorithm SAMUEL, an evolutionary algorithm-based rule-learning system with a computational cognitive model written in ACT-R. In this system, the learning algorithm handles reactive aspects of the task and provides an adaptation mechanism, while the cognitive model handles cognitive aspects of the task and ensures the realism of the behavior. In this study, the controller architecture is used to implement a controller for a team of micro-air vehicles performing reconnaissance and surveillance.

Subject Categories:

  • Computer Programming and Software
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE