We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from … twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …

cognitive model to the Market Entry Competition (MEC), which involved four-person and two-alternative (enter or stay out) games …. Our model was designed according to the Instance-Based Learning Theory (IBLT). The two versions of the model assumed the … same cognitive principles of decision making and learning in the MEC. The only difference between the two models was the …

population of poker playing agents is instantiated to play the preflop portion of Texas Hold'em poker, with learning and strategy … revision occurring over the course of the simulation. This paper aims to investigate the influence of learning dynamics on … dominant strategy when loss aversion is included in the learning model, not when winning and magnitude of win are of the only …

The black box method was developed as an "asocial control" to allow for payoff-based learning while eliminating social … participants can unwittingly affect the learning of other participants. Here, we test a solution to this problem in a range of … no significant differences in rates of learning between the original and the computerised black box, therefore either …

A choice prediction competition is organized that focuses on decisions from experience in market entry games (http …://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation experiment …, and a competition experiment. The two experiments use the same methods and subject pool, and examine games randomly …

affiliation-motivated individuals engaged in game-play. The first model captures learning by motivated agents during strategic …

cooperation. We model agents’ learning when they imitate successful players over similar games, but lack any information about the …

multiplex network who deal with coordination issues using social learning and payoff-driven dynamics. Agents form their … heterogeneous preference through learning on one layer and they play a pure coordination game on the other layer. People learn from …. We find that the presence of the social learning mechanism explains the rising and the endurance of a segregated society …