Complexity Science Seminar Series - Abstracts
Title: Time asymmetries in the bacteria life: a connectionist hypothesis implemented through the p-calculus paradigm
Presenter:
Bruno Apolloni, Dept. of Computer Science, University of Milano
Date and Time: Monday, June 30th, 2008 3:30-4:30pm
Abstract:
Beside genotypic changes, we hypothesize an evolution of bacterial population due to an /aging/ of its individuals. We expect this aging to be connected to a nonlinear behaviour and focus on stepwise modifications of an individual’s state variable as a primordial form of intelligence. The key feature is that these modifications are monotone, thus denoting an aging of the individual that is tempered by both the drastic intervention of death and a smoother control deriving by its social interaction with surrounding individuals. The model is supported on the one hand by an approximating predator-pray scheme where age is a lever moving the balance reproduction-defence attitude of the bacteria toward the latter with the time. From the decision theory perspective we link the social interaction to results of game theory. We also show the implementation of the model within the p-calculus paradigm and numerical results reproducing social phenomena sharing features with population of macroorganisms as well. References B. Apolloni, S. Bassis, A Feedforward Neural Logic based on Synaptic and Volume Transmission, Brain Research Reviews 55 - 1, 2007, 108-118. B. Apolloni, S. Bassis, A. Clivio, S. Gaito and D. Malchiodi, An information drawn hypothesis of aging mechanisms in bacterial populations, Natural Computing, 2007, 6, 2007, 33-53. B. Apolloni, S. Bassis, S. Gaito and D. Malchiodi, Elementary team strategies in a monotone game, Nonlinear Analysis 64 - 2, 2006, 310-328.Bio: Bruno Apolloni is full professor in Computer Science at the University of Milan, Italy. His main research interests are in the frontier area between probability and mathematical statistics and computer science, with special regard to statistical bases of learning, subsymbolic and symbolic learning processes, granular computing, and modeling of dynamical processes in biology. Apolloni is head of the Neural Networks Research Laboratory (LAREN, http://laren.dsi.unimi.it) of the department of Computer Science of the University of Milan, past President of the Italian Society for Neural Networks (SIREN, http://siren.dsi.unimi.it), and member of the Internationa Neural Network Society board.
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Virginia Tech, Corporate Research Center
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Seminar Room, First Floor
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