IFIBYNE   05513
INSTITUTO DE FISIOLOGIA, BIOLOGIA MOLECULAR Y NEUROCIENCIAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Modeling information transfer in eusocial bees
Autor/es:
CORTI BIELSA G.; SEGURA, E. C.; FARINA WALTER M.
Lugar:
Huerta Grande
Reunión:
Congreso; Segunda Reunión Conjunta de Neurociencias; 2010
Institución organizadora:
Sociedad Argentina de Investigación en Neurociencias - Taller Argentino de Neurociencias
Resumen:
The understanding of collective decision making in honeybee (Apis mellifera) societies requires knowing
the information that individuals acquire and store on the external environment. The social
foraging of nectar involves a subtle coordination through recruitment displays
(involving different
sensory modalities) and the resource distribution within these
social networks. In these descentralized information systems, individual
experiences affect interactions between hive members. Although theoretical
models address the relevance of these social interactions in the context of
collective decision making, frequently they ignore the proper role that cognitive
processes, such as learning and memory, could play in such collective
phenomena. Therefore, the purpose of our project concerns the integration of
these two aspects. With artificial neural networks as our conceptual framework,
our goal is to model certain forms of individual experience and generate a
plausible structure of the social network resulting from the resource distribution
(empirical data suggest a hierarchical structure coupled with age-related
subcastes, and hence, dynamic). We will show our preliminary results, for which
we use a 1st generation Rescorla-Wagner model in a demographically structured
population.