Nam H. Le

Publications

17 items. GECCO, PPSN, IEEE CEC, EvoStar and ALIFE are the flagship peer-reviewed venues of evolutionary computation and artificial life; full papers there are archival and competitively reviewed.

Google Scholar GitHub Full CV (PDF)

Journal Articles

  1. Nam H. Le, M. Levin, R. A. Watson, J. Bongard, C. L. Buckley

    Emergent Collective Reproduction via Evolving Neuronal Flocks

    Northeast Journal of Complex Systems, Vol. 7, No. 2, Article 8, 2025

    Full textCodeVideo

Book Chapters

  1. Nam H. Le, Josh Bongard

    Decoupling Representation and Learning in Genetic Programming: The LaSER Approach

    Genetic Programming Theory and Practice XXII, Springer Nature Singapore, 2026

    Preprint (arXiv:2505.17309)

Under Review

  1. Nam H. Le

    Neuroevolution of Augmented Self-teaching Topologies

    Swarm and Evolutionary Computation (Elsevier), 2025

    Code

Bio-Inspired AI and Language-Based Control

  1. Nam H. Le, Patrick Erickson, Yanbo Zhang, Michael Levin, Josh Bongard

    ZapGPT: Free-form Language Prompting for Simulated Cellular Control

    Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems (CIIS 2025), ACM, pp. 119–126, November 2025

    CodeVideo

  2. Nam H. Le, Patrick Erickson, Yanbo Zhang, Michael Levin, Josh Bongard

    Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control

    GECCO Companion Proceedings, ACM, 2025

    PDFVideo

Neuroevolution and Multi-Agent Learning

  1. Nam H. Le, A. Brabazon, M. O'Neill

    Social Learning vs Self-teaching in a Multi-agent Neural Network System

    Applications of Evolutionary Computation, Springer, pp. 354–368, 2020

  2. Nam H. Le

    Evolution and Self-teaching in Neural Networks

    GECCO Companion Proceedings, ACM, 2019

  3. Nam H. Le

    Evolving Self-taught Neural Networks: The Baldwin Effect and the Emergence of Intelligence

    AISB Symposium on AI & Games, 2019

Artificial Life and Evolution

  1. Nam H. Le

    Organic Selection and Social Heredity: The Original Baldwin Effect Revisited

    ALIFE 2019 Conference Proceedings, MIT Press, 2019

Learning Strategies in Evolutionary Optimisation

  1. Nam H. Le, A. Brabazon, M. O'Neill

    Evolutionary Consequences of Learning Strategies in a Dynamic Rugged Landscape

    GECCO Proceedings, ACM, 2019

  2. Nam H. Le, A. Brabazon, M. O'Neill

    How Learning Strategies Can Promote an Evolving Population in Dynamic Environments

    IEEE Congress on Evolutionary Computation (CEC), 2019

  3. Nam H. Le, A. Brabazon, M. O'Neill

    The Evolution of Self-taught Neural Networks in a Multi-agent Environment

    EvoStar, 2019 Best Paper nominee

  4. Nam H. Le, A. Brabazon, M. O'Neill

    How the Baldwin Effect Can Guide Evolution in Dynamic Environments

    Theory and Practice of Natural Computing (TPNC), 2018

  5. Nam H. Le, A. Brabazon, M. O'Neill

    Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape

    Parallel Problem Solving from Nature (PPSN XV), 2018

  6. Nam H. Le, A. Brabazon, M. O'Neill

    The Baldwin Effect Reconsidered Through the Prism of Social Learning

    IEEE Congress on Evolutionary Computation (CEC), 2018 Best Student Paper nominee

Genetic Programming and Representation Learning

  1. Nam H. Le, M. O'Neill, A. Brabazon

    Social Grammatical Evolution with Imitation Learning for Real-Valued Function Estimation

    IEEE Congress on Evolutionary Computation (CEC), 2017

  2. Nam H. Le, H. N. Xuan, A. Brabazon, T. P. Thi

    Complexity Measures in Genetic Programming Learning: A Brief Review

    IEEE Congress on Evolutionary Computation (CEC), 2016