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Authors: Hedjazi Badiâa 1 ; Ahmed-Nacer Mohamed 2 ; Aknine Samir 3 and Benatchba Karima 4

Affiliations: 1 CERIST Research Center on Scientific and Technical Information, Algeria ; 2 USTHB University, Algeria ; 3 Lyon 1 University, France ; 4 ESI and National High School of Computer Science, Algeria

ISBN: 978-989-8425-96-6

Keyword(s): Real Time Gross Settlement, Multi-agent system, Classifier system, Evolutionary game theory

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Economic Agent Models ; Enterprise Information Systems ; Group Decision Making ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: This work consists in simulating a real time interbank gross payment system (RTGS) through a multi-agent model, to analyze the evolution of the liquidity brought by the banks to the system. In this model, each bank chooses the amount of a daily liquidity provided in the system on the basis of costs minimization (costs of liquidity and delaying) by taking into account the liquidity brought by the other banks. Banks agents reasoning is based on a repeated aggregate game of over several payment days where each bank plays against the other banks. For adaptive behaviour we integrate into bank agents a learning classifier system. We carry out then several simulations to follow the system total liquidity evolution as that of each bank agent with varying costs coefficients. The question to be answered is: what are the cash amounts that banks must provide and under what constraints (costs of liquidity and delaying) the system beyond the lack of liquidity (illiquidity)? We find that liquidity e volution depends on costs coefficients. (More)

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Paper citation in several formats:
Badiâa, H.; Mohamed, A.; Samir, A. and Karima, B. (2012). INTERBANK PAYMENT SYSTEM (RTGS) SIMULATION USING MULTI-AGENT APPROACH.In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-96-6, pages 362-365. DOI: 10.5220/0003750503620365

@conference{icaart12,
author={Hedjazi Badiâa. and Ahmed{-}Nacer Mohamed. and Aknine Samir. and Benatchba Karima.},
title={INTERBANK PAYMENT SYSTEM (RTGS) SIMULATION USING MULTI-AGENT APPROACH},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2012},
pages={362-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003750503620365},
isbn={978-989-8425-96-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - INTERBANK PAYMENT SYSTEM (RTGS) SIMULATION USING MULTI-AGENT APPROACH
SN - 978-989-8425-96-6
AU - Badiâa, H.
AU - Mohamed, A.
AU - Samir, A.
AU - Karima, B.
PY - 2012
SP - 362
EP - 365
DO - 10.5220/0003750503620365

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