Events

KLI Colloquia are invited research talks of about an hour followed by 30 min discussion. The talks are held in English, open to the public, and offered in hybrid format. 

 

Fall-Winter 2025-2026 KLI Colloquium Series

Join Zoom Meeting
https://us02web.zoom.us/j/5881861923?omn=85945744831
Meeting ID: 588 186 1923

 

25 Sept 2025 (Thurs) 3-4:30 PM CET

A Dynamic Canvas Model of Butterfly and Moth Color Patterns

Richard Gawne (Nevada State Museum)

 

14 Oct 2025 (Tues) 3-4:30 PM CET

Vienna, the Laboratory of Modernity

Richard Cockett (The Economist)

 

23 Oct 2025 (Thurs) 3-4:30 PM CET

How Darwinian is Darwinian Enough? The Case of Evolution and the Origins of Life

Ludo Schoenmakers (KLI)

 

6 Nov (Thurs) 3-4:30 PM CET

Common Knowledge Considered as Cause and Effect of Behavioral Modernity

Ronald Planer (University of Wollongong)

 

20 Nov (Thurs) 3-4:30 PM CET

Rates of Evolution, Time Scaling, and the Decoupling of Micro- and Macroevolution

Thomas Hansen (University of Oslo)

 

4 Dec (Thurs) 3-4:30 PM CET

Chance, Necessity, and the Evolution of Evolvability

Cristina Villegas (KLI)

 

8 Jan 2026 (Thurs) 3-4:30 PM CET

Embodied Rationality: Normative and Evolutionary Foundations

Enrico Petracca (KLI)

 

15 Jan 2026 (Thurs) 3-4:30 PM CET

On Experimental Models of Developmental Plasticity and Evolutionary Novelty

Patricia Beldade (Lisbon University)

 

29 Jan 2026 (Thurs) 3-4:30 PM CET

O Theory Where Art Thou? The Changing Role of Theory in Theoretical Biology in the 20th Century and Beyond

Jan Baedke (Ruhr University Bochum)

Event Details

Eörs Szathmáry
KLI Colloquia
Learning and Evolution
Eörs SZATHMÁRY (KLI & Parmendies Foundation & Institute of Evolution)
2022-11-17 15:00 - 2022-11-17 16:30
KLI
Organized by KLI
You are invited to a Zoom meeting. 
When: Nov 17, 2022 03:00 PM Vienna 
Register in advance for this meeting:


Topic description / abstract:

Both evolution and learning are known to produce (sometimes spectacular) adaptive solutions. One can rightfully ask whether these processes might share some common features, and whether they can help each other, possibly in the form of one being a "subroutine" in the other and vice versa.

Learning in evolution: Recent models inform us that ecosystem evolution and evolution of genetic regulatory networks (so important in development) can partly be best understood as learning processes. Features like Hebbian change in coupling terms, memory capacity, forgetting and graceful degradation all come into play. These investigations are complemented by the proposals that the Bayesian update rule is analogous to the discrete-time replicator equation and that evolving replicator populations can learn about grammatical classes. I shall give examples of these processes. 

Evolution in learning: This is the flip side of the coin. The idea that something like evolution by natural selection might go on in the brain is not new. Neurobiology saw some eminent attempts to validate this claim, but previous proposals are merely selectionist rather than truly evolutionary. In order to advance in the latter direction one must demonstrate some form of replication, even though neurons do not reproduce. I shall discuss how this might work. 

 

Biographical note:

Eörs Szathmáry (1959) is a Hungarian theoretical and evolutionary biologist, best known for his continued work on the comparative and theoretical aspects of the major evolutionary transitions. The theme was set by a book that he published together with the late John Maynard Smith in 1995. This monograph and the subsequent popular book have were published in a dozen countries. Google finds about 150 thousand hits for the “major transition” AND “evolution”. In addition, Szathmáry studies replicator theory, the relationship between learning and evolution, the question of minimal life and the conditions for open-ended evolution. He is a member of the Hungarian Academy of Sciences, EMBO, the Norwegian Academy of Sciences and Letters as well as Academia Europaea.