Rogers’ Paradox
This experiment, which demonstrates Rogers paradox, explores the evolution of asocial learning and unguided social learning in the context of a numerical discrimination task.
Configuration
The experiment parameters can be configured using Dallinger configuration files. In addition to the built-in Dallinger configuration parameters, the Rogers’ experiment supports the following additional configuration parameters:
experiment_repeats: An integer defining the number of experiment rounds each participant will see. defaults to ``0``practice_repeats: An integer defining the number of practice rounds each participant will see before starting the experiment. defaults to ``10``catch_repeats: An integer defining the number of experiment rounds which are intended to “catch” participant inattention. These rounds should have a much lower difficulty than the actual experiment rounds. defaults to ``0``practice_difficulty: A number between 0.5 and 1.0 indicating the relative difficulty of the practice rounds (i.e. what proportion of the 80 dots are of the majority color, 0.5=hardest, 1.0=easiest). defaults to ``0.8``catch_difficulty: A number between 0.5 and 1.0 indicating the relative difficulty of the “catch” rounds (i.e. what proportion of the 80 dots are of the majority color, 0.5=hardest, 1.0=easiest). defaults to ``0.8``difficulties: A string of comma separated numbers between 0.5 and 1.0 defining a range of relative difficulties for the normal experiment rounds (i.e. what proportions of the 80 dots are of the majority color, 0.5=hardest, 1.0=easiest). defaults to ``’0.525, 0.5625, 0.65’``min_acceptable_performance: A number between 0.0 and 1.0 defining the proportion of “catch” rounds that need to be correctly chosen for the particpation to be considered successful. defaults to ``0.833``generations: An integer describing how many “generations” of participants to recruit over the course of the experiment. defaults to ``4``generation_size: An integer describing how many participants to recruit in each “generation”. defaults to ``4``bonus_payment: A number defining the maximum bonus payment for successful participation in dollars. defaults to ``1.0``