Action in auctions: neural and computational mechanisms of bidding behaviour.

ABSTRACT: Competition for resources is a fundamental characteristic of evolution. Auctions have been widely used to model competition of individuals for resources, and bidding behaviour plays a major role in social competition. Yet, how humans learn to bid efficiently remains an open question. We used model-based neuroimaging to investigate the neural mechanisms of bidding behaviour under different types of competition. Twenty-seven subjects (nine male) played a prototypical bidding game: a double action, with three "market" types, which differed in the number of competitors. We compared different computational learning models of bidding: directional learning models (DL), where the model bid is "nudged" depending on whether it was accepted or rejected, along with standard reinforcement learning mode

SUBMITTER: Martinez-Saito M 

PROVIDER: S-EPMC6899836 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature