Human-agent Collaboration: Ontology and Framework
for Designing Adaptive Human-agent Collaboration Architectures

Azad M. Madni, Ph.D., Weiwen Lin, Ph.D., and Carla Conaway Madni
Intelligent Systems Technology, Inc.

Abstract

Agent-based systems are continuing to gain in popularity as agent design tools and agent communication languages continue to mature. Today, agents have begun to play a variety of roles with respect to humans in agent-based systems. As a result of these developments, the systems engineering, human factors, and cognitive sciences communities have begun to focus on the shared role of human and software agents in problem-solving and decision making with a view to optimally leveraging the human component. This paper presents accomplishments to date on an ONR-sponsored research initiative concerned with the development of a cognitively-inspired, multi-perspective conceptual framework for designing adaptive human-agent collaboration architectures. Such architectures are capable of supporting dynamic function reassignment – the key to capitalizing on the human role in agent-based systems.

From: Madni, A.M., Lin, W., and Madni, C.C., Proceedings of 12th Annual International Symposium of the International Council On Systems Engineering (INCOSE), Las Vegas, Nevada, 28 July – 1 August 2002.