Formulating situation awareness for multi-agent systems

Improving autonomous agents' awareness has aroused a great deal of interests in agent research. The objective is to formulate an approach that provides advanced awareness capabilities in the agents' behaviour. In this paper, we explore the techniques proposed in the literature that have be...

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Main Authors: Mostafa S.A., Ahmad M.S., Ahmad A., Annamalai M.
Other Authors: 37036085800
Format: Conference paper
Published: IEEE Computer Society 2023
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spelling my.uniten.dspace-300502023-12-29T15:44:11Z Formulating situation awareness for multi-agent systems Mostafa S.A. Ahmad M.S. Ahmad A. Annamalai M. 37036085800 56036880900 55390963300 36138644000 Active Perception (AP) autonomous agent Context Awareness (CA) decision-making Multi-agent System (MAS) Situation Awareness (SA) Decision making Multi agent systems Active perceptions Agent research Context- awareness Decision making process Dynamic environments Situation awareness Autonomous agents Improving autonomous agents' awareness has aroused a great deal of interests in agent research. The objective is to formulate an approach that provides advanced awareness capabilities in the agents' behaviour. In this paper, we explore the techniques proposed in the literature that have been adopted to enable agents' awareness which are Active Perception (AP), Situation Awareness (SA) and Context Awareness (CA). In addition, we illustrate the possible integration of the techniques' core phases with a multi-agent system (MAS). In doing so, we propose an approach to Situation Awareness for a decentralized MAS environment which is abbreviated as SAMAS. The approach assists in the agents' decision-making process through decomposing the context of an event's situations. Consequently, the SAMAS approach provides human-based assessments to the agents' performance. The assessments are fed back to the agents' to maintain the active perception of their actions. The paper contributes an independent SA approach considered from the perspective of MAS in a dynamic environment. � 2013 IEEE. Final 2023-12-29T07:44:11Z 2023-12-29T07:44:11Z 2013 Conference paper 10.1109/ACSAT.2013.17 2-s2.0-84904155911 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904155911&doi=10.1109%2fACSAT.2013.17&partnerID=40&md5=5a1c7058ec85e07668dce7e9537c0264 https://irepository.uniten.edu.my/handle/123456789/30050 6836546 48 53 IEEE Computer Society Scopus
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/
topic Active Perception (AP)
autonomous agent
Context Awareness (CA)
decision-making
Multi-agent System (MAS)
Situation Awareness (SA)
Decision making
Multi agent systems
Active perceptions
Agent research
Context- awareness
Decision making process
Dynamic environments
Situation awareness
Autonomous agents
spellingShingle Active Perception (AP)
autonomous agent
Context Awareness (CA)
decision-making
Multi-agent System (MAS)
Situation Awareness (SA)
Decision making
Multi agent systems
Active perceptions
Agent research
Context- awareness
Decision making process
Dynamic environments
Situation awareness
Autonomous agents
Mostafa S.A.
Ahmad M.S.
Ahmad A.
Annamalai M.
Formulating situation awareness for multi-agent systems
description Improving autonomous agents' awareness has aroused a great deal of interests in agent research. The objective is to formulate an approach that provides advanced awareness capabilities in the agents' behaviour. In this paper, we explore the techniques proposed in the literature that have been adopted to enable agents' awareness which are Active Perception (AP), Situation Awareness (SA) and Context Awareness (CA). In addition, we illustrate the possible integration of the techniques' core phases with a multi-agent system (MAS). In doing so, we propose an approach to Situation Awareness for a decentralized MAS environment which is abbreviated as SAMAS. The approach assists in the agents' decision-making process through decomposing the context of an event's situations. Consequently, the SAMAS approach provides human-based assessments to the agents' performance. The assessments are fed back to the agents' to maintain the active perception of their actions. The paper contributes an independent SA approach considered from the perspective of MAS in a dynamic environment. � 2013 IEEE.
author2 37036085800
author_facet 37036085800
Mostafa S.A.
Ahmad M.S.
Ahmad A.
Annamalai M.
format Conference paper
author Mostafa S.A.
Ahmad M.S.
Ahmad A.
Annamalai M.
author_sort Mostafa S.A.
title Formulating situation awareness for multi-agent systems
title_short Formulating situation awareness for multi-agent systems
title_full Formulating situation awareness for multi-agent systems
title_fullStr Formulating situation awareness for multi-agent systems
title_full_unstemmed Formulating situation awareness for multi-agent systems
title_sort formulating situation awareness for multi-agent systems
publisher IEEE Computer Society
publishDate 2023
_version_ 1806425643038015488
score 13.239859