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Towards a Theory of Evolution as Multilevel Learning

Towards a Theory of Evolution as Multilevel Learning

27 October 2021
V. Vanchurin
Y. Wolf
M. Katsnelson
E. Koonin
    AI4CE
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Papers citing "Towards a Theory of Evolution as Multilevel Learning"

18 / 18 papers shown
Title
Geometric Learning Dynamics
Geometric Learning Dynamics
Vitaly Vanchurin
AI4CE
24
1
0
20 Apr 2025
Molecular Learning Dynamics
Molecular Learning Dynamics
Yaroslav Gusev
Vitaly Vanchurin
28
1
0
14 Apr 2025
Robust Decision-Making Via Free Energy Minimization
Robust Decision-Making Via Free Energy Minimization
Allahkaram Shafiei
Hozefa Jesawada
Karl Friston
G. Russo
36
0
0
17 Mar 2025
Control of Overfitting with Physics
Control of Overfitting with Physics
Sergei V. Kozyrev
Ilya A Lopatin
Alexander N Pechen
AI4CE
79
0
0
14 Dec 2024
Diffusion Models are Evolutionary Algorithms
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang
Benedikt Hartl
Hananel Hazan
Michael Levin
26
4
0
03 Oct 2024
CogNarr Ecosystem: Facilitating Group Cognition at Scale
CogNarr Ecosystem: Facilitating Group Cognition at Scale
John C. Boik
55
0
0
11 Jul 2024
Dataset-learning duality and emergent criticality
Dataset-learning duality and emergent criticality
Ekaterina Kukleva
V. Vanchurin
21
3
0
27 May 2024
Supervised structure learning
Supervised structure learning
Karl J. Friston
Lancelot Da Costa
Alexander Tschantz
Alex B. Kiefer
Tommaso Salvatori
...
Noor Sajid
Dimitrije Marković
Thomas Parr
Tim Verbelen
Christopher L. Buckley
DRL
37
8
0
17 Nov 2023
Distributed Evolution Strategies with Multi-Level Learning for
  Large-Scale Black-Box Optimization
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
Qiqi Duan
Chang Shao
Guochen Zhou
Minghan Zhang
Qi Zhao
Yuhui Shi
21
0
0
09 Oct 2023
On Physical Origins of Learning
On Physical Origins of Learning
Alex Ushveridze
AI4CE
20
0
0
27 Jul 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box
  Optimization: Convergence Analyses and Distributed Accelerations
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
Qiqi Duan
Chang Shao
Guochen Zhou
Hao-Yu Yang
Qi Zhao
Yuhui Shi
17
4
0
11 Apr 2023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Chris Xiaoxuan Lu
Sebastian Towers
Jakob N. Foerster
23
5
0
16 Mar 2023
The Free Energy Principle drives neuromorphic development
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
32
14
0
20 Jul 2022
Bio-inspired Machine Learning: programmed death and replication
Bio-inspired Machine Learning: programmed death and replication
Andrey Grabovsky
V. Vanchurin
17
1
0
30 Jun 2022
It's a super deal -- train recurrent network on noisy data and get
  smooth prediction free
It's a super deal -- train recurrent network on noisy data and get smooth prediction free
Boris Rubinstein
AI4TS
17
0
0
09 Jun 2022
Evolution is Driven by Natural Autoencoding: Reframing Species,
  Interaction Codes, Cooperation, and Sexual Reproduction
Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction
Irun R. Cohen
Assaf Marron
AI4CE
16
9
0
22 Mar 2022
Thermodynamics of Evolution and the Origin of Life
Thermodynamics of Evolution and the Origin of Life
V. Vanchurin
Y. Wolf
E. Koonin
M. Katsnelson
AI4CE
16
47
0
28 Oct 2021
Emergent Quantumness in Neural Networks
Emergent Quantumness in Neural Networks
M. Katsnelson
V. Vanchurin
16
23
0
09 Dec 2020
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