About this Research Topic
The past ten years have seen a sharp divergence of opinion about the nature of habits and the extent to which habits shape human cognition and behavior. On one end of the spectrum, researchers have developed a sophisticated dual-systems theory in which habits are built and controlled by a dedicated “model-free” system, which is psychologically and neurobiologically distinct from a non-habitual, “model-based” system. Proponents of the model-free/model-based distinction have proposed that many aspects of human performance are under model-free control, including higher-order phenomena such as cooperation and moral cognition. On the other end of the spectrum, researchers have posited that habits, as traditionally defined, do not exist at all. With its roots in William Brewer’s (1974) early review of conditioning research, which concluded that “there is no convincing evidence for operant or classical conditioning in humans,” this emerging view is that reinforcement does not render action independent of motivation and causal knowledge.
The goal of this Research Topics is to bridge the rapidly expanding divide in the literature on habits. Empirical papers, reviews, and opinion pieces will focus on the nature of habits: Do humans develop habits that are unmediated by causal knowledge and unmoderated by motivation? If so, are habits implemented by a psychologically and neurobiologically distinct model-free system? If so, what are the properties of the model-free system? To what extent do habits shape human cognition and behavior? How often, under what conditions, and in what domains do habits contribute to human performance? Authors are encouraged to engage with alternative perspectives with the aim of resolving disagreements and of bringing those disagreements to the attention of the broader field.
N.B. This Research Topic was co-developed with David Melnikoff - a junior Topic Editor managing this article collection but not involved in editing manuscripts submitted to this Research Topic.
Keywords: Habits, Dual-Process, Model-Free, Model-Based, Reinforcement Learning
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