Communication Dans Un Congrès Année : 2009

A HMM-Based Approach to Modeling Ant Behavior

Résumé

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.

Fichier principal
Vignette du fichier
paper.pdf (629.37 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-05001493 , version 1 (22-03-2025)

Licence

Identifiants

  • HAL Id : hal-05001493 , version 1

Citer

Guénaël Cabanes, Dominique Fresneau, Ugo Galassi, Attilio Giordana. A HMM-Based Approach to Modeling Ant Behavior. International Indian Conference on Artificial Intelligence (IICAI), 2009, Tumkur, India. pp.2127-2139. ⟨hal-05001493⟩
51 Consultations
71 Téléchargements

Partager

  • More