Laboratoire de Génie Informatique et d’Automatique de l’Artois

Alexandre VEREMME

Ph.D. student
(Position when this person departed from the LGI2A)
Member of the research themes:

Revue Internationale avec Comité de Lecture

Alexandre VEREMME -- Eric LEFEVRE -- Gildas MORVAN -- Daniel DUPONT -- Daniel JOLLY
Evidential calibration process of multi-agent based system: An application to forensic entomology
Expert Systems with Applications, pp 2361-2374, Vol. 39, No. 3, 02/2012

Revue Nationale avec Comité de Lecture

Modélisation de la température rectale post-mortem en environnement thermique variable
La Revue de Médecine Légale, pp 61-65, Vol. 1, No. 2, 09/2010
2009
French journal with review committee
Gildas MORVAN -- Alexandre VEREMME -- Daniel DUPONT -- Daniel JOLLY
Modélisation et conception multiniveau de systèmes complexes: Stratégie d’agentification des organisations
Journal européen des systèmes automatisés, pp 381-406, Vol. 43, No. 4-5, 01/2009

Conférence Internationale avec Comité de Lecture

Gildas MORVAN -- Alexandre VEREMME -- Daniel DUPONT
Observation of Large-Scale Multi-Agent Based Simulations
Multi-agent based simulation XII, pp 103-112, Vol. 7124, Lecture notes in Artificial Intelligence, Springer, 01/2012
Gildas MORVAN -- Alexandre VEREMME -- Daniel DUPONT
IRM4MLS: the influence reaction model for multi-level simulation
Multi-agent based simulation XI, pp 16–27, Vol. 6532, Lecture Notes of Artificial Intelligence, Springer, 01/2011
Alexandre VEREMME -- Eric LEFEVRE -- Gildas MORVAN -- Daniel JOLLY
Application of the belief function theory to validate multi-agent based simulations
1st Workshop on Belief Functions, pp paper 123, Brest, France, , 04/2010
2009
International conference with review committee
Alexandre VEREMME -- Daniel DUPONT -- Eric LEFEVRE -- David MERCIER
Belief Assignment on Compound Hypotheses within the Framework of the Transferable Belief Model
12th International Conference on Information Fusion, Seattle, USA, 07/2009

Conférence Nationale avec Comité de Lecture

Gildas MORVAN -- Alexandre VEREMME -- Daniel DUPONT -- Daniel JOLLY
Stratégies d’observation de simulations orientées agent
17èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA'09), pp 233--236, Lyon, 10/2009
2008
French conference with review committee
Alexandre VEREMME -- Eric LEFEVRE -- Daniel JOLLY
Estimation de fonction de masse de croyance : utilisation et confrontation dans le cadre d’expertise en entomologie médico-légale
Rencontres francophones sur la Logique Floue et ses Applications, LFA'2008, pp 242-249, Lens, France, 10/2008
Gildas MORVAN -- Alexandre VEREMME -- David MERCIER -- Eric LEFEVRE
Application du Modèle des Croyances Transférables dans le cadre d’expertises en Entomologie Médico-Légale
5ème atelier sur la Fouille de données complexes dans un processus d'extraction des connaissances, pp 49-60, Sophia Antipolis, France, 01/2008
2008
French conference with review committee
Modélisation de la température d’un corps par automates cellulaires
7ème Conférence de Modélisation et Simulation MOSIM, pp 500-507, Vol. 1, Paris, 01/2008
2008
French conference with review committee
Vers une méthode de modélisation multi-niveaux
7ème Conférence de Modélisation et Simulation MOSIM, pp 167-174, Vol. 1, Paris, 01/2008

Author of the Ph.D. thesis "Interests and uses of the theory of belief functions for decision support systems based on multi-agent systems. Application to forensic entomology."

2007 - 2010

This work is based on the agent simulations (ABS), the cellular automata based simulations (CABS) and the theory of belief functions. The purposes consist in proposing solutions to complex problems and developping a general architecture for decision support system (DSS) organized around these three tools. Because this system resorts to the theory of belief functions (also called the evidence theory), we called it EDSS, i.e., evidential decision support system. The EDSS tries to explain an observation made on a complex real system. It uses:- ABS and CABS to simulate the complex system of study;- the belief function theory to represent and manipulate information within and around the simulations.The architecture is validated through a decision support system, named ForenSeek, dedicated to experts in forensic entomology. Forensic entomology is a method for estimating the time of death from determining the ages and species of insects collected on a cadaver. This technique faces with a set of complex phenomena, not easily discernible by the experts and having an impact on their final decisions. The EDSS ForenSeek uses the ABS and CABS to simulate the corpse decomposition. It incorporates a large number of ecosystem parameters and tests a large quantity of biological models. The theory of belief functions is central to this information fusion system. First results from real forensic expert’s reports are presented.