Social learning and exploration-exploitation dilemma in decision-making.

This mini review examines the neurocomputational principles of social learning through the lens of the exploration-exploitation dilemma. While the neural mechanisms of learning from others-mediated by distinct signals in the ventromedial and lateral prefrontal cortices-are well established, less is known about how these mechanisms interact with the fundamental trade-off between gathering information ("exploration") and maximizing rewards ("exploitation"). We discuss how social environments shape this trade-off, leading to strategic behaviors such as informational free-riding or conformity. A central focus of this review is the issue of source selection: how agents decide whom to observe. We present recent evidence suggesting that, contrary to the predictions of optimal information-seeking theories, humans often exhibit a "reliability-seeking" bias, preferring to learn from consistent, exploitation-oriented partners rather than highly exploratory ones. We conclude by discussing the limitations of current paradigms, specifically the inherent confounding of social cues such as competence and predictability, and outline a computational framework for isolating the specific drivers of adaptive social decision-making.