A debate model for cooperative agents to achieve common objectives

DOI

10.2991/eusflat-19.2019.95How to use a DOI?

Keywords

Fuzzy sets Multiple Criteria Decision Analysis Debate modelling Constraint programming Collective choice

Abstract

We consider the situation where a group of agents are involved in the achievement of a common goal. Each agent owns a set of actions that are partial solutions for the problem to be solved. Moreover, different agents may have the same actions. In order to decide which action to select from different agents, actions are assessed using a set of attributes. These attributes measure the extent to which the actions satisfy the common objective. The problem of action selection becomes more complex if we consider that agents do not necessarily know the actions of each others which makes complex the coordination of joint actions. Interactions between agents may be affected by antagonist personal interests. The more actions are selected from an agent, the greater his budget. Based on a multiple criteria decision analysis (MCDA) framework and a fuzzy model that links actions to the satisfaction of objectives, this paper proposes to treat the problem of collective selection of the necessary actions to achieve a problem. Only necessary information for the progress of collective action are shared and collective and personal goals coexist and are to be taken into account.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Abdelhak Imoussaten
AU  - Jacky Montmain
PY  - 2019/08
DA  - 2019/08
TI  - A debate model for cooperative agents to achieve common objectives
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 682
EP  - 689
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.95
DO  - 10.2991/eusflat-19.2019.95
ID  - Imoussaten2019/08
ER  -