CSH Talk by David B. Saakian: “Solving the evolutionary dynamics on fluctuating Landscapes” - CSH

CSH Talk by David B. Saakian: “Solving the evolutionary dynamics on fluctuating Landscapes”


Nov 18, 2019 | 11:0012:00

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The lecture by David B. Saakian from Alikhanyan National Science Laboratory (Yerevan Physics Institute) will take place at the Complexity Science Hub Vienna.

Location: Salon

 

Abstract:

Infinite and finite population models on fluctuating landscape and the Wright-Fisher model in case of fluctuating landscape and calculate the fixation probability are being considered. Mutator models with asymmetric transition rates (a model with two landscape) were examined. Subsequently, the Crow-Kimura model with random transitions between two landscapes was evaluated. The evolutionary dynamics on fluctuating landscape is as a complex phenomenon as the information thermodynamics, describing the Maxwell demon model. It is assumed, that  information thermodynamics should appear in any advanced enough complex phenomenon (evolution, economics, neuroscience, artificial intelligence),  as an adequate mathematical language.

 

 

Bio

David Saakian graduated Moscow Engineering Physics Institute in 1977. He has done his PHD thesis in  the Moscow Lebedev Institute (FIAN), working with  Russian academicians Igor Sobelman, Boris Zeldovich, Yakov Zeldovich. After  defending the thesis in 1980 he moved to Yerevan physics institute,  where he works till now. In 2002-2017 he was working as a scholar, professor scholar in Institute of Physics of Academia Sinica.

In 1992 he mapped exactly the Shannon optimal coding theory to Random Energy model by Derrida. In 2006 he solved exactly Eigen model of evolution. In 2009 he exactly mapped the string theory to Random Energy model. In 2011 he solved exactly the multifractal random walk model by Backry-Muzy. In 2017 he solved exactly hidden Markov models. In 2018 he solved exactly the product problem of correlated random matrices.

He currently works in evolutionary dynamics, looking common modelling, and concepts between evolutionary dynamics, Artifical intelligence, Neuroscience and information thermodynamics.

 

If you are interested in participating, please email to office@csh.ac.at.

Details

Date
Nov 18, 2019
Time
11:00—12:00

Organizer

Complexity Science Hub Vienna
Phone
+43 1 59991 600
Email
office@csh.ac.at
Website
www.csh.ac.at

Venue

Complexity Science Hub Vienna
Josefstaedter Straße 39
Wien,1080
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Phone
+43 1 59991 600
Website
www.csh.ac.at