Karma: 40

The core focus of my research is using agent-based modelling to understand real-world complex-adaptive systems which are composed of interacting autonomous agents. The key research question that I am interested in is how, and if, these systems maintain macroscopic homeostatic behaviour despite the fact that their constituent agents often face an incentive to disrupt the rest of the system for their own gain. This question pervades the biological and social sciences, as well as many areas of engineering and computing. Accordingly, I work with a diverse range of collaborators in different disciplines. I am particularly interested in whether models of learning and cooperation can be validated against empirical studies, and I have had the opportunity to apply many different modelling techniques to a diverse range of data.


Eval­u­at­ing strate­gic rea­son­ing in GPT models

phelps-sg25 May 2023 11:51 UTC
4 points
1 comment8 min readLW link

In­ves­ti­gat­ing Emer­gent Goal-Like Be­hav­ior in Large Lan­guage Models us­ing Ex­per­i­men­tal Economics

phelps-sg5 May 2023 11:15 UTC
6 points
1 comment4 min readLW link