publications

2025

1. LEAR: LLM-Driven Evolution of Agent-Based Rules

   Can Gurkan, Narasimha Karthik Jwalapuram, Kevin Wang, and 4 more authors

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, Jul 2025

   Abs DOI Bib HTML

   This study investigates the feasibility and effectiveness of using Large Language Models (LLMs) to drive the evolution of agent-based rules in computational modeling systems.

   @inproceedings{jwalapuram2025lear,
     title = {LEAR: LLM-Driven Evolution of Agent-Based Rules},
     author = {Gurkan, Can and Jwalapuram, Narasimha Karthik and Wang, Kevin and Danda, Rudy and Rasmussen, Leif and Chen, John and Wilensky, Uri},
     year = {2025},
     month = jul,
     day = {14},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     series = {GECCO '25 Companion},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     doi = {10.1145/3712255.3734368},
     url = {https://doi.org/10.1145/3712255.3734368},
   }

2. QD-LEAR: Exploring Quality-Diversity Tradeoffs in LLM-Evolved Agent Rule Representations

   Narasimha Karthik Jwalapuram, Can Gurkan, Kevin Wang, and 4 more authors

   In Proceedings of the 2025 Conference on Artificial Life, Jul 2025

   Abs Bib

   Research exploring quality-diversity tradeoffs in Large Language Model-evolved agent rule representations for computational modeling systems.

   @inproceedings{jwalapuram2025qdlear,
     title = {QD-LEAR: Exploring Quality-Diversity Tradeoffs in LLM-Evolved Agent Rule Representations},
     author = {Jwalapuram, Narasimha Karthik and Gurkan, Can and Wang, Kevin and Danda, Rudy and Rasmussen, Leif and Chen, John and Wilensky, Uri},
     year = {2025},
     month = jul,
     booktitle = {Proceedings of the 2025 Conference on Artificial Life},
     series = {ALife 2025},
     publisher = {MIT Press},
     address = {Kyoto, Japan},
   }