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A qualitative analysis of human-agent functions for collaborative multi-agent system

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dc.contributor.authorMohammed K.A.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorid56727814300en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid55247787300en_US
dc.date.accessioned2023-05-29T06:00:44Z
dc.date.available2023-05-29T06:00:44Z
dc.date.issued2015
dc.descriptionAutonomous agents; Computational methods; Intelligent agents; Multi agent systems; Surveys; Agent-based model; collaboration; Collaborative multi-agent systems; Generalized functions; Human agent; Qualitative analysis; Questionnaire surveys; Workflow process; Software agentsen_US
dc.description.abstractThere is no one method for agent modeling due to the uniqueness and complexity of application domains. Consequently, agent modeling faces several difficulties in development and implementation and has been continuously researched on the conceptualization of complex systems which are composed of several agents. Consequently, we introduced the concept of node (or the nodal approach) as a novel agent-based model that consists of a human, one or more agents and their corresponding functions that represent an intelligent entity. The instantiation of multiple nodes with diverse functions and workflow process could represent a domain in which humans interact with other humans via software agents to achieve some common goals. In this paper, we conduct a questionnaire survey to investigate on the generalized functions of humans and agents that are required for a node. A number of devices and media including Document, Email, Phone Call, SMS are selected to validate the proposed model. This paper presents the results of the survey that solicits information pertaining to the tasks performed by humans to determine generalized functions of humans and agents in a node. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7066638
dc.identifier.doi10.1109/ICIMU.2014.7066638
dc.identifier.epage249
dc.identifier.scopus2-s2.0-84937415122
dc.identifier.spage244
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937415122&doi=10.1109%2fICIMU.2014.7066638&partnerID=40&md5=f4a1293c55357a10a950302ffde229a6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22395
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014
dc.titleA qualitative analysis of human-agent functions for collaborative multi-agent systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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