Prosocial learning involves the acquisition of knowledge and skills necessary for making decisions that benefit others.We asked if, in the context of value-based decision-making, there is any difference between learning strategies for oneself vs.for others.We implemented a 2-step reinforcement learning paradigm in which participants learned, in separate blocks, to make decisions for themselves or for a present other confederate who evaluated their Arginine/Ornithine performance.We replicated the canonical features of the model-based and model-free reinforcement learning in our results.
The behaviour of the majority of participants Kids Clothing was best explained by a mixture of the model-based and model-free control, while most participants relied more heavily on MB control, and this strategy enhanced their learning success.Regarding our key self-other hypothesis, we did not find any significant difference between the behavioural performances nor in the model-based parameters of learning when comparing self and other conditions.