Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making

He A. Xu, Alireza Modirshanechi, Marco P. Lehmann, Wulfram Gerstner, Michael H. Herzog

Abstract: Author summary Humans like to explore their environment: children play with toys, tourists explore touristic sites, and readers start a new book. Exploration is useful to build knowledge about the world in the form of a ‘world-model’. However, since the world is complex and changing, the learned world-model is sometimes wrong: if so, the feeling of surprise arises. Here, we distinguish surprise from novelty; we show that humans use surprise as a signal to decide when to adapt their behavior, while they use novelty to decide where and what to explore—to eventually develop an improved world-model. Intuitively, it seems obvious to use world-models to plan future actions. However, we show that in a complex and changing environment where planning needs heavy computations, participants rarely follow an explicit plan and take their actions mainly by shaping habits. Importantly, we show that the main role of their world-model is to signal when to be surprised and, hence, when to adapt their habits. In summary, our results show how surprise and novelty interact with human reinforcement learning, contribute to human adaptive and exploratory behavior, and correlate with EEG signals.

External IDs:dblp:journals/ploscb/XuMLGH21