D. Neurones, une intelligence en essaim ? Ces deux domaines de l'Intelligence Artificielle paraissent en effet éloignés phénoménologiquement, alors qu'ils sont proches sur le plan de la modélisation connexionniste, Nous estimons que le modèle de SMA logistique est un maillon essentiel pour comprendre les liens qui unissent ces deux domaines

G. Beslon and E. Daucé, Modularité et apprentissage dans les réseaux de neurones récurrents Approche dynamique de la cognition artificielle, pp.61-80, 2002.

E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence. From Natural to Artificial Systems, 1999.

R. Charrier, C. Bourjot, and F. Charpillet, A Nonlinear Multi-agent System designed for Swarm Intelligence: the Logistic MAS, First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), 2007.
DOI : 10.1109/SASO.2007.1

URL : https://hal.archives-ouvertes.fr/inria-00168315

R. Charrier, C. Bourjot, and F. Charpillet, Deterministic Nonlinear Modeling of Ant Algorithm with a Logistic Multi-Agent System, AAMAS '07, International Conference on Autonomous Agents and Multiagent Systems, 2007.

J. Delgado and R. V. Solé, Self-synchronization and Task Fulfilment in Ant Colonies, Journal of Theoretical Biology, vol.205, issue.3, pp.433-441, 2000.
DOI : 10.1006/jtbi.2000.2077

J. L. Deneubourg, S. Aron, S. Goss, and J. M. Pasteels, The self-organizing exploratory pattern of the argentine ant, Journal of Insect Behavior, vol.3, issue.2, pp.159-168, 1990.
DOI : 10.1007/BF01417909

M. Dorigo and T. Stützle, Ant Colony Optimization, 2004.

J. Ferber and J. Müller, Influences and reactions : A model of situated multiagent systems, Second International Conference on Multiagent Systems (ICMAS-96), pp.72-79, 1996.

A. Guillot, Introduction Approche dynamique de la cognition artificielle, pp.17-30, 2002.

K. Kaneko, Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements, Physica D: Nonlinear Phenomena, vol.41, issue.2, pp.137-172, 1990.
DOI : 10.1016/0167-2789(90)90119-A

K. Kaneko, Theory and applications of coupled map lattices, 1996.

J. Kennedy and R. C. Eberhart, Particle swarm optimization, Proceedings of ICNN'95, International Conference on Neural Networks, pp.1942-1948, 1995.
DOI : 10.1109/ICNN.1995.488968

C. W. Reynolds, Flocks, herds and schools: A distributed behavioral model, ACM SIGGRAPH Computer Graphics, vol.21, issue.4, pp.25-34, 1987.
DOI : 10.1145/37402.37406

R. V. Solé and O. Miramontes, Information at the edge of chaos in fluid neural networks, Physica D: Nonlinear Phenomena, vol.80, issue.1-2, pp.171-180, 1995.
DOI : 10.1016/0167-2789(95)90075-6