Contribution to the Measurement of Organizational Performance based on A Multi-Agent Approach

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4

Abstract

This research focuses on evaluating and analyzing the organizational performance of a risk management unit within banks. The main proposal is to analyze and simulate the process of risk management based on decision support system and artificial intelligence. This is why this paper uses the systemic thinking and simulation tool. We finally propose a multiagent model showing nine autonomous agents communicating with each other to simulate a risk. This model provides both a tool to simulate the risk and a way to modify the organizational structure of the risk management unit to improve the performance of bank.

Authors and Affiliations

Ansar Daghouri, Khalifa Mansouri, Mohammed Qbadou

Keywords

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  • EP ID EP308374
  • DOI 10.14738/tmlai.54.2980
  • Views 109
  • Downloads 0

How To Cite

Ansar Daghouri, Khalifa Mansouri, Mohammed Qbadou (2017). Contribution to the Measurement of Organizational Performance based on A Multi-Agent Approach. Transactions on Machine Learning and Artificial Intelligence, 5(4), 102-111. https://www.europub.co.uk/articles/-A-308374