Intelligent negotiation model for ubiquitous group decision scenarios

Abstract

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.

How cognitive and affective aspects can influence the outcome of the group decision‐making process

“…The facilitator main actions include the following: Load problem data—The facilitator loads problem data such as alternatives, criteria, and selected agents. This information will then be available to all participant agents. Notify agents before the process begins—After each participant agent has been created, it notifies those selected to be part of the decision‐making process. Manage participant agents' communications—The negotiation model used between agents follows a communication logic inspired in social networks (Carneiro, Martinho, Marreiros, & Novais, , ), and there have been considered two types of communication: public and private. For both communications, the facilitator receives and forwards all messages sent between participant agents.…”

“…The reasoning layer allows the participant agent to reason about received information, whether it receives a request or another kind of message. In this layer, it is considered four main components: Argumentation system—A dynamic argumentation framework has been proposed in (Carneiro et al, ; Carneiro et al, , ), which provides the system with the features that are necessary for decision makers to enjoy the benefits of group decision‐making. This framework allows agents representing decision makers, to seek a possible solution to a problem (choosing between several alternatives) while considering all the preferences of the decision makers.…”

“…networks (Carneiro, Martinho, Marreiros, & Novais, 2016a, 2016b, and there have been considered two types of communication: public and private. For both communications, the facilitator receives and forwards all messages sent between participant agents.…”

“…• Argumentation system-A dynamic argumentation framework has been proposed in Carneiro et al, 2016aCarneiro et al, , 2016b, which provides the system with the features that are necessary for decision makers to enjoy the benefits of group decision-making. This framework allows agents representing decision makers, to seek a possible solution to a problem (choosing between several alternatives) while considering all the preferences of the decision makers.…”

Special issue on distributed computing and artificial intelligence

“…The second paper by Carneiro et al (2016) presents an intelligent negotiation model to support the group decision making process, which facilitates arguments, complex algorithms, and agent modeling. In general, supporting group decision making in ubiquitous contexts is a complex task, as it has to deal with a large number of factors.…”