Competition between adaptive agents: from learning to collective efficiency and back
classification
❄️ cond-mat
keywords
agentsefficiencylearningadaptivebackclearcollectivecompeting
read the original abstract
We use the Minority Game and some of its variants to show how efficiency depends on learning in models of agents competing for limited resources. Exact results from statistical physics give a clear understanding of the phenomenology, and opens the way to the study of reverse problems. What agents can optimize and how well is discussed in details.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.