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Darwinian dynamics over recurrent neural computations for combinatorial problem solving

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Theory-Based Ecology
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The Origins of Order
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The Major Transitions in Evolution
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The evolution of replicators
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Evolutionary implementation of Bayesian computations
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No free lunch theorems for optimization
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An evolutionary perspective on the systems of adaptive immunity
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DARWINIAN SELECTION IN THE BRAIN
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THE MAJOR TRANSITIONS OF EVOLUTION
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Human-level concept learning through probabilistic program induction
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Why Open-Endedness Matters
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The Neuronal Replicator Hypothesis
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Dynamics of Bayesian updating with dependent data and misspecified models
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Dynamics of Bayesian updating with dependent data and misspecified models
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How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
inferredcites →https://doi.org/10.1371/journal.pone.0003775openalex-snapshot
Copying and Evolution of Neuronal Topology
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Evolvable Neuronal Paths: A Novel Basis for Information and Search in the Brain
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Computational Complexity as an Ultimate Constraint on Evolution
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Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal
inferredcites →https://doi.org/10.3389/fpsyg.2017.00427openalex-snapshot
Cognitive Architecture with Evolutionary Dynamics Solves Insight Problem
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Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems
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The Replicator Equation as an Inference Dynamic
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Online Extreme Evolutionary Learning Machines
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.