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.

Authors and Affiliations

Alicia Y. C. Tang, Ghusoon Salim Basheer

Keywords

Related Articles

Intrusion Detection System based on the SDN Network, Bloom Filter and Machine Learning

The scale and frequency of sophisticated attacks through denial of distributed service (DDoS) are still growing. The urgency is required because with the new emerging paradigms of the Internet of Things (IoT) and Cloud C...

Load Forecasting using Autoregressive Integrated Moving Average and Artificial Neural Network

Electric load forecasting is a challenging research problem due to the complicated nature of its dataset involving both linear and nonlinear properties. Various literatures attempted to develop forecasting models that ut...

Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images

Liver extraction from medical images like CT scan and MR images is a challenging task. There are many manuals, Semi-automatic and automatic methods available to extract the liver from computerized tomography (CT) scan im...

Interference Aware Channel Assignment Scheme in Multichannel Wireless Mesh Networks

Wireless mesh networks (WMNs) are gaining significant attention to provide wireless broadband service. Nodes in a wireless mesh network can communicate with each other directly or through one or more intermediate nodes....

Semantic E-Learn Services and Intelligent Systems using Web Ontology

Present vision for the web is the semantic web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the web. It provides the inform...

Download PDF file
  • EP ID EP258815
  • DOI 10.14569/IJACSA.2017.080549
  • Views 120
  • Downloads 0

How To Cite

Alicia Y. C. Tang, Ghusoon Salim Basheer (2017). A Conflict Resolution Strategy Selection Method (ConfRSSM) in Multi-Agent Systems. International Journal of Advanced Computer Science & Applications, 8(5), 398-404. https://europub.co.uk/articles/-A-258815