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An Adjustable-Autonomy Agent for Intelligent Environments

Ball, Matthew and Callaghan, Vic and Gardner, Michael (2010) An Adjustable-Autonomy Agent for Intelligent Environments. In: 2010 6th International Conference on Intelligent Environments (IE), 2010-07-19 - 2010-07-21.

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Autonomy of embedded agents in intelligent environments is highly debated topic; while some believe that agents should have very minimal autonomy and should only act as directly instructed by the user, others consider providing agents with autonomy to be an essential aspect to building intelligent environments. This paper reports on the current progress of our project to enable human users and agents to collaborate in managing intelligent environments as a team. We seek to develop an adjustable-autonomy agent in an effort to explore user acceptance of pervasive computing and the use of autonomous agents therein, as wells as aiming to improve the robustness and reliability of future intelligent environment systems. We present our Adjustable-autonomy Behaviour-Based Agent (ABBA) architecture model and discuss our initial trials with our prototype system, built on a smart home emulator, which demonstrate the plausibility of employing adjustableautonomy in full-scale intelligent environments and pervasive computing systems. © 2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings - 2010 6th International Conference on Intelligent Environments, IE 2010
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 28 Sep 2012 09:49
Last Modified: 15 Jan 2022 00:56

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