Methods in Exploration and Interpretability for Automating Discovery

Created by W.Langdon from gp-bibliography.bib Revision:1.9002

@PhdThesis{Wilson:habilitation,

• author = "Dennis G Wilson",
• title = "Methods in Exploration and Interpretability for Automating Discovery",
• school = "ISAE-SUPAERO Institut Superieur de l'Aeronautique et de l'Espace (82720)",
• year = "2025",
• type = "Habilitation a Diriger des Recherches",
• address = "10, avenue Edouard-Belin BP 54032 - 31055 Toulouse CEDEX 4, France",
• month = "2025-04-07",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Language Model Genetic Programming, LMGP, Multimodal Adaptive Graph Evolution, MAGE, Native Interpretability, XAI, MAP-Elites, JEDi, Curiosity-ES, ANN, CMA-ME, NS-ES, COM/MON, Aircraft safety systems, aircraft simulator JSBSim, Evolutionary algorithms, Machine learning, Reinforcement Learning, Genetic Drift Regularizatio, GDR, Diversity of solutions, Atari game of Freeway, Pong, Bowling, Shoreline evolution, NSGA-II, Language Model Crossover, Neural Networks as Code, el nino ENSO, Improve model code, Apprentissage automatique, Algorithmes evolutionnistes",
• URL = "https://openscience.isae-supaero.fr/Default/doc/OAI_8/oai-HAL-tel-05310236v1/methods-in-exploration-and-interpretability-for-automating-discovery",
• URL = "https://hal.science/tel-05310236",
• URL = "https://hal.science/tel-05310236v1/file/wilson_hdr_final.pdf",
• size = "97 pages",
• abstract = "Can algorithms help drive scientific discovery? My research explores this question through two complementary approaches: machine learning algorithms that systematically explore novel and creative solutions, and optimization methods that ensure these discoveries remain interpretable to human researchers. Through case studies in climate science, I demonstrate how these techniques can accelerate our understanding of complex phenomena like shoreline evolution and El Nino prediction. Finally, I propose a framework for how artificial intelligence can augment, rather than replace, human scientific reasoning.",
• notes = "In English

  https://d9w.github.io/news/2025/04/07/habilitation-%C3%A0-diriger-des-recherches-defense/

  HAL Id : tel-05310236 , version 1",

}

Genetic Programming entries for Dennis G Wilson

Citations