Healthy aging has long been associated with impairments in learning from rewards. However, typical paradigms do not adequately distinguish between being motivated by information to learn about the world and being motivated by rewarding outcomes from our decisions. The present study describes how these distinct motivati...
Abigail Hedden, David L. Barack, Akram Bakkour· bioRxiv· 0 citations
The results suggest that many psychopathology-relevant aspects may be interpreted as bounded cognitive systems operating under modern-ancestral environmental mismatch, positioning ERDM as a key computational cognitive tool that can be extended to other studies.
Real-world decision-making rarely occurs with perfect information. Instead, individuals must constantly weigh potential rewards against the probability of adverse outcomes.1 Failures of this process can lead to maladaptive decisions associated with reduced lifetime success, and numerous psychiatric disorders such as ga...
T. Price, A. Liu, Rhiannon L. Cowan et al.· bioRxiv· 0 citations
Simulations show that adapting the learning rate alone and adapting the decision policy alone are near-equivalent solutions across the environments the authors tested, and that stochasticity and volatility are not related.
Coline Chevallier, Juan Cobos, Emma Debos et al.· bioRxiv· 0 citations
Impulsive consumption is often interpreted as self‐control failure. This study examines whether impulsive choice can also arise as an adaptive exploration strategy under uncertainty. Methodologically, the study uses agent‐based computational simulation, formalizing sequential consumer decisions as a Markov decision p...
Meng-Jiao Yin· Journal of Consumer Behaviou...· 0 citations
Our perceptual decision-making can vary depending not only on changes in the surrounding environment but also on metacognitive processes. In particular, the balance between confidence and uncertainty may play a critical role in shaping behavior and the underlying neural dynamics over time, yet how this balance operates...