Modeling Ant Activity by Means of Structured HMMs

Authors:
Guenael Cabanes;Dominique Fresnau;Ugo Galassi;Attilio Giordana
Affiliations:
LIPN-CNRS UMR 7030, Université Paris XIII, Villetaneuse, Paris, France;LEEC, Université Paris XIII, Villetaneuse, Paris, France;Dipartimento di Informatica, Università Amedeo Avogadro, Alessandria, Italy;Dipartimento di Informatica, Università Amedeo Avogadro, Alessandria, Italy
Venue:
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Year:
2009

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Abstract

Modeling societies of individuals is a challenging task increasingly attracting the interest of the machine learning community. Here we present an application of graphical model methods in order to model the behavior of an ant colony. Ants are tagged with RFID so that their paths through the environment can be constantly recorded. A Structured Hidden Markov Model has been used to build the model of single individual activities. Then, the global profile of the colony has been traced during the migration from one nest to another. The method provided significant information concerning the social dynamics of ant colonies.