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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| Format: | Conference paper |
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Springer Verlag
2023
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| _version_ | 1833409786374258688 |
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| author | Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Gunasekaran S.S. |
| author2 | 37036085800 |
| author_facet | 37036085800 Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Gunasekaran S.S. |
| author_sort | Mostafa S.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uniten.dspace-30167 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | my.uniten.dspace-301672023-12-29T15:45:11Z A dynamically adjustable autonomic agent framework Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Gunasekaran S.S. 37036085800 56036880900 36138644000 55390963300 55652730500 adjustable autonomy autonomous systems autonomy analysis decision-making Multi-agent system (MAS) situation awareness Software agent Automation Information systems Multi agent systems Software agents Adjustable autonomy Autonomous systems autonomy analysis Multi agent system (MAS) Situation awareness Autonomous agents 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. Final 2023-12-29T07:45:10Z 2023-12-29T07:45:10Z 2013 Conference paper 10.1007/978-3-642-36981-0_58 2-s2.0-84876204152 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876204152&doi=10.1007%2f978-3-642-36981-0_58&partnerID=40&md5=1920e79385d89b5ba85d7cfad02a6f4a https://irepository.uniten.edu.my/handle/123456789/30167 206 AISC 631 642 Springer Verlag Scopus |
| spellingShingle | adjustable autonomy autonomous systems autonomy analysis decision-making Multi-agent system (MAS) situation awareness Software agent Automation Information systems Multi agent systems Software agents Adjustable autonomy Autonomous systems autonomy analysis Multi agent system (MAS) Situation awareness Autonomous agents Mostafa S.A. Ahmad M.S. Annamalai M. Ahmad A. Gunasekaran S.S. A dynamically adjustable autonomic agent framework |
| title | 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_short | A dynamically adjustable autonomic agent framework |
| title_sort | dynamically adjustable autonomic agent framework |
| topic | adjustable autonomy autonomous systems autonomy analysis decision-making Multi-agent system (MAS) situation awareness Software agent Automation Information systems Multi agent systems Software agents Adjustable autonomy Autonomous systems autonomy analysis Multi agent system (MAS) Situation awareness Autonomous agents |
| url_provider | http://dspace.uniten.edu.my/ |