Agents’ Uncertainty in Argumentation-based Negotiation: Classification and Implementation

Martinho

Int. J. Info. Tech. Dec. Mak.

et al. 2019

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.

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Arguing with Behavior Influence: A Model for Web-Based Group Decision Support Systems

Martinho

Int. J. Info. Tech. Dec. Mak.

et al. 2019

“…Many existing Group Decision Support Systems (GDSS) prototypes use automatic negotiation models as a strategy to support the decision (Herrera et al, 1997;Maznevski, 1994;Moreno-Jiménez et al, 2008;Xu, 2009). Argumentation-based negotiation models are one of the most used and best suited automatic negotiation techniques to support the decision-making (Rahwan et al, 2003;Marey et al, 2014). It is consensual that the possibility of justifying a request using an argument facilitates reaching an agreement or solution (Marey et al, 2014;Bonzon et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Argumentation-based negotiation models are one of the most used and best suited automatic negotiation techniques to support the decision-making (Rahwan et al, 2003;Marey et al, 2014). It is consensual that the possibility of justifying a request using an argument facilitates reaching an agreement or solution (Marey et al, 2014;Bonzon et al, 2012). Albeit all the recognized advantages in the use of argumentation models in decision-making, and the time necessary to study argumentative models in the area of computer science which can be traced back to a few decades, the truth is that such models have not yet been embraced by organizations.…”

Section: Introductionmentioning

confidence: 99%

“…However, things become more difficult when an agent receives messages from multiple agents. Another important issue is how most authors test their argumentation models, the majority opt for the "seller-buyer", example (Rahwan et al, 2003;Marey et al, 2014;Karunatillake and Jennings, 2005;Ramchurn et al, 2007;de Melo et al, 2011;El-Sisi and Mousa, 2012), which has a type of dialogue much oriented to that kind of problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent negotiation model for ubiquitous group decision scenarios

Martinho

Frontiers Inf Technol Electronic Eng

et al. 2016

Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specially designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex algorithms and agents' modelling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problematic by considering and defining strategies to deal with important points such as the type of attributes in the multicriteria problems, agents' reasoning and intelligent dialogues.

An Approach for a Negotiation Model Inspired on Social Networks

Communications in Computer and Information Science

Nováis

2015

Supporting group decision-making in ubiquitous contexts is a complex task that needs to deal with a large amount of factors to be successful. Here we propose an approach for a negotiation model to support the group decisionmaking process specially designed for ubiquitous contexts. We propose a new look into this problematic, considering and defining strategies to deal with important points such as the type of attributes in the multi-criteria problem and agents' reasoning. Our model uses a social networking logic due to the type of communication employed by the agents as well as to the type of relationships they build as the interactions occur. Our approach intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings and is adapted to be used in a ubiquitous context.