Keynote

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Invited Speakers

Best Practices for efficient simulation-aided engineering

Abstract

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Short Biography

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Jean-Charles Mare
INSA Dpt Mécanique
Toulouse, France

How Activity-Based Modeling and Simulation can move Artificial Learning Algorithms closer to Real Neurocognitive Mechanisms

Abstract

Currently very few studies exist of the learning dynamics of individuals from their individual decisions or behaviors to underlying biological neuronal networks. This is mainly due to the limitations of current experimental devices that provide only coarse grain data at individual behavioral levels and sparse data at neuronal levels. Under these conditions, biologists cannot reasonably build hypotheses about the relationship between the learning dynamics of the overall behavior and corresponding neuronal structures. This is where activity based modeling and simulation can play a major role.

In this presentation, I will show how activity-based modeling and simulation can automatically construct hierarchical models from individual behaviors to neurons. Under feedback control of available data, the overall model is automatically built, adding, deleting, and altering its component submodels and their interconnections to generate the individual behavior.

This finding constitutes a major breakthrough to understand and reproduce neurocognitive learning mechanisms thanks to a synergy between machine learning and activity-based modeling and simulation. This new understanding of neurocognitive mechanisms opens exciting perspectives for the development of new artificial learning algorithms much closer to the real individual mechanisms.

Short Biography

Alexandre Muzy is CNRS research fellow at Université Côte d'Azur (I3S computer science laboratory). He is co-director of the NeuroMod institute and in charge of the Modeling, Simulation & Neurocognition (MS&N) research group. He is a specialist of computational modeling and simulation based on system theory, more specifically discrete event systems currently applied to neurocognitive systems, with more than 70 international research publications. He created the computational activity paradigm for structuring models and developed with Bernard P. Zeigler the computational iterative system paradigm. The latter paradigm has been used as a new foundation of the Theory of modeling and simulation - (3d edition). Based on the mapping from in vivo neurocognitive activities to temporal computations, he works on the specification of the computational neurocognitive system (cf. Computabrain project) at learning, modeling and simulation levels.



Alexandre Muzy
Université Côte d'Azur
(I3S) - UMR7271 - UNS CNRS
Sophia Antipolis, France

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Abstract

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Short Biography

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Jerzy Respondek
Silesian Univ.of Technology
AEI Faculty
Gliwice, Poland