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A dynamically adjustable autonomic agent framework

The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous s...

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Main Authors:	Mostafa, S.A., Ahmad, M.S., Annamalai, M., Ahmad, A., Gunasekaran, S.S.
Format:	Conference Paper
Language:	English
Published:	2017
Subjects:	Adjustable autonomy Autonomous systems Autonomy analysis Decision-making Multi-Agent Systems Situation awareness Software agent
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id	my.uniten.dspace-394
record_format	dspace
spelling	my.uniten.dspace-3942017-11-01T07:07:26Z A dynamically adjustable autonomic agent framework Mostafa, S.A. Ahmad, M.S. Annamalai, M. Ahmad, A. Gunasekaran, S.S. Adjustable autonomy Autonomous systems Autonomy analysis Decision-making Multi-Agent Systems Situation awareness Software agent The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict. © 2013 Springer-Verlag. 2017-07-25T03:42:21Z 2017-07-25T03:42:21Z 2013 Conference Paper https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/ 10.1007/978-3-642-36981-0_58 2-s2.0-84876204152 en Advances in Intelligent Systems and Computing
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
language	English
topic	Adjustable autonomy Autonomous systems Autonomy analysis Decision-making Multi-Agent Systems Situation awareness Software agent
spellingShingle	Adjustable autonomy Autonomous systems Autonomy analysis Decision-making Multi-Agent Systems Situation awareness Software agent Mostafa, S.A. Ahmad, M.S. Annamalai, M. Ahmad, A. Gunasekaran, S.S. A dynamically adjustable autonomic agent framework
description	The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict. © 2013 Springer-Verlag.
format	Conference Paper
author	Mostafa, S.A. Ahmad, M.S. Annamalai, M. Ahmad, A. Gunasekaran, S.S.
author_facet	Mostafa, S.A. Ahmad, M.S. Annamalai, M. Ahmad, A. Gunasekaran, S.S.
author_sort	Mostafa, S.A.
title	A dynamically adjustable autonomic agent framework
title_short	A dynamically adjustable autonomic agent framework
title_full	A dynamically adjustable autonomic agent framework
title_fullStr	A dynamically adjustable autonomic agent framework
title_full_unstemmed	A dynamically adjustable autonomic agent framework
title_sort	dynamically adjustable autonomic agent framework
publishDate	2017
_version_	1644492277572173824
score	13.222552

A dynamically adjustable autonomic agent framework

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