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. Author manuscript; available in PMC: 2008 Jun 5.
Published in final edited form as: Nat Neurosci. 2008 Mar 26;11(4):404–409. doi: 10.1038/nn2065

Figure 2.

Figure 2

A model-based reinforcement learning model applied to social decision making. The decision maker receives reward according to his or her own action and those of other decision makers (DM) in the environment, and updates the value functions according to the reward prediction error. In addition, the decision maker updates his or her model of the environment, including the predicted actions of other decision makers. The fictive reward prediction errors (fRPE) resulting from such model simulations also influence the value functions.