same cognitive principles of decision making and learning in the MEC. The only difference between the two models was the …. Our model was designed according to the Instance-Based Learning Theory (IBLT). The two versions of the model assumed the …

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 …

Predictability is a hallmark of poor-quality decision-making during competition. One source of predictability is the … strong association between current outcome and future action, as dictated by the reinforcement learning principles of win …

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 …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 × 2 …, payoff-sampling equilibrium, and impulse balance equilibrium) which represent the long-run equilibrium of a learning process …. Secondly, we relate our results to four different learning models (impulse-matching learning, action-sampling learning, self …

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 …

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 …