Arguing with Behavior Influence: A Model for Web-Based Group Decision Support Systems
João Carneiro,
Diogo Martinho,
Goreti Marreiros and
Paulo Novais
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João Carneiro: GECAD — Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering — Polytechnic of Porto, Portugal2ALGORITMI Centre, Informatics Department — University of Minho, Guimarães, Portugal
Diogo Martinho: GECAD — Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering — Polytechnic of Porto, Portugal
Goreti Marreiros: GECAD — Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering — Polytechnic of Porto, Portugal
Paulo Novais: ALGORITMI Centre, Informatics Department — University of Minho, Guimarães, Portugal
International Journal of Information Technology & Decision Making (IJITDM), 2019, vol. 18, issue 02, 517-553
Abstract:
In this work, we propose an argumentation-based dialogue model designed for Web-based Group Decision Support Systems, that considers the decision-makers’ intentions. The intentions are modeled as behavior styles which allow agents to interact with each other as humans would in face-to-face meetings. In addition, we propose a set of arguments that can be used by the agents to perform and evaluate requests, while considering the agents’ behavior style. The inclusion of decision-makers’ intentions intends to create a more reliable and realistic process. Our model proved, in different contexts, that higher levels of consensus and satisfaction are achieved when using agents modeled with behavior styles compared to agents without any features to represent the decision-makers’ intentions.
Keywords: Web-based group decision support systems; argumentation; multi-agent systems; decision-making; multi-criteria problems; cognitive aspects (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:18:y:2019:i:02:n:s0219622018500542
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DOI: 10.1142/S0219622018500542
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