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4.2.4 Human‐agent Collaboration: Ontology and Framework for Designing Adaptive Human‐agent Collaboration Architectures
Author(s) -
Madni Azad M.,
Lin Weiwen,
Madni Carla C.
Publication year - 2002
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2002.tb02470.x
Subject(s) - computer science , popularity , variety (cybernetics) , ontology , perspective (graphical) , function (biology) , focus (optics) , knowledge management , key (lock) , multi agent system , component (thermodynamics) , conceptual framework , software agent , artificial intelligence , computer security , sociology , psychology , social psychology , social science , philosophy , physics , epistemology , evolutionary biology , optics , biology , thermodynamics
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.

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