Multi-attribute Decision-making is Best Characterized by an Attribute-Wise Reinforcement Learning Model
The paper shows that decision-making with multiple attributes is best modeled by using all attributes, representing them individually, and incorporating recency effects, rather than relying on heuristics or whole-stimulus associations.
bioRxiv · Dec 15, 2017 · PreprintNeuroscience