D. Czegel

From Bayes to Darwin: evolutionary search as an exaptation from sampling-based Bayesian inference

The paper demonstrates how Darwinian evolution can emerge from Bayesian inference through collective selection in high-dimensional environments.

General solution to biological signalling games: costly signalling and beyond

The paper refutes the Handicap Principle by showing that honest signals can have any cost value, including negative, without requiring costly signaling at equilibrium.

Evolutionary implementation of Bayesian computations

This paper establishes an algorithmic analogy between Bayesian computations and evolutionary dynamics by showing their equivalent dynamical equations and mapping Bayesian concepts to evolutionary concepts.

Major evolutionary transitions as Bayesian structure learning

This paper establishes mathematical equivalences between evolutionary transitions in individuality and Bayesian structure learning in hierarchical models.

One problem, too many solutions: How costly is honest signalling of need?

The paper shows that honest signaling in parent-offspring conflicts can result from costs proportional to offspring fitness gain, not just parent fitness loss, challenging the uniqueness of cost functions in signaling theory.