A dynamic measurement of agent autonomy in the layered adjustable autonomy model
In a dynamically interactive systems that contain a mix of humans' and software agents' intelligence, managing autonomy is a challenging task. Giving an agent a complete control over its autonomy is a risky practice while manually setting the agent's autonomy level is an inefficient a...
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my.uniten.dspace-38762017-11-01T08:28:20Z A dynamic measurement of agent autonomy in the layered adjustable autonomy model Mostafa, S.A. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. Autonomy measurement attributes Decision-making Layered Adjustable Autonomy (LAA) Multi-agent system (MAS) Software agent In a dynamically interactive systems that contain a mix of humans' and software agents' intelligence, managing autonomy is a challenging task. Giving an agent a complete control over its autonomy is a risky practice while manually setting the agent's autonomy level is an inefficient approach. In this paper, we propose an autonomy measurement mechanism and its related formulae for the Layered Adjustable Autonomy (LAA) model. Our model provides a mechanism that optimizes autonomy distribution, consequently, enabling global control of the autonomous agents that guides or even withholds them whenever necessary. This is achieved by formulating intervention rules on the agents' decision-making capabilities through autonomy measurement criteria. Our aim is to create an autonomy model that is flexible and reliable. © Springer International Publishing Switzerland 2014. 2017-10-31T08:29:28Z 2017-10-31T08:29:28Z 2014 Article http://dspace.uniten.edu.my:8080/jspui/handle/123456789/3876 10.1007/978-3-319-01787-7_3 2-s2.0-84958534584 en Studies in Computational Intelligence |
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Autonomy measurement attributes Decision-making Layered Adjustable Autonomy (LAA) Multi-agent system (MAS) Software agent |
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Autonomy measurement attributes Decision-making Layered Adjustable Autonomy (LAA) Multi-agent system (MAS) Software agent Mostafa, S.A. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
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In a dynamically interactive systems that contain a mix of humans' and software agents' intelligence, managing autonomy is a challenging task. Giving an agent a complete control over its autonomy is a risky practice while manually setting the agent's autonomy level is an inefficient approach. In this paper, we propose an autonomy measurement mechanism and its related formulae for the Layered Adjustable Autonomy (LAA) model. Our model provides a mechanism that optimizes autonomy distribution, consequently, enabling global control of the autonomous agents that guides or even withholds them whenever necessary. This is achieved by formulating intervention rules on the agents' decision-making capabilities through autonomy measurement criteria. Our aim is to create an autonomy model that is flexible and reliable. © Springer International Publishing Switzerland 2014. |
format |
Article |
author |
Mostafa, S.A. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. |
author_facet |
Mostafa, S.A. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. |
author_sort |
Mostafa, S.A. |
title |
A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
title_short |
A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
title_full |
A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
title_fullStr |
A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
title_full_unstemmed |
A dynamic measurement of agent autonomy in the layered adjustable autonomy model |
title_sort |
dynamic measurement of agent autonomy in the layered adjustable autonomy model |
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2017 |
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http://dspace.uniten.edu.my:8080/jspui/handle/123456789/3876 |
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1644493580954238976 |
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13.211869 |