A Conflict Resolution Strategy Selection Method (ConfRSSM) in Multi-Agent Systems

Abstract: Selecting a suitable conflict resolution strategy when conflicts appear in multi-agent environments is a hard problem. There is a need to formulate a model for strategic decision making in selecting a strategy to resolve conflicts. In this paper, we formalise a model for selecting a conflict resolution strategy in multi-agent systems. The model is expected to select a suitable strategy which guaranties low cost in terms of the number of messages and time ticks. This paper focuses on a novel method to guide strategic decision making for conflict resolution. The proposed model is named as Conflict Resolution Strategy Selection Method (ConfRSSM). We identified three distinct types of intervention: (1) domain requirement, (2) conflict strength, and (3) confidence level of the conflicting agents. We also ascertain that the most appropriate conflict resolution strategy for a given conflict depends on the type of conflict (weak, strong), the agents’ confidence level, and the domain preferences. Our method explores the best strategic choices that will reduce the cost and time in selecting a strategy.

Alicia Y.C. Tang and Ghusoon Salim Basheer. “A Conflict Resolution Strategy Selection Method (ConfRSSM) in Multi-Agent Systems”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.5 (2017). http://dx.doi.org/10.14569/IJACSA.2017.080549

@article{Tang2017,
title = {A Conflict Resolution Strategy Selection Method (ConfRSSM) in Multi-Agent Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080549},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080549},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {5},
author = {Alicia Y.C. Tang and Ghusoon Salim Basheer}
}