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Identifying Model-Based and Model-Free Patterns in Behavior on Multi-Step Tasks

View ORCID ProfileKevin J. Miller, Carlos D. Brody, View ORCID ProfileMatthew M. Botvinick
doi: https://doi.org/10.1101/096339
Kevin J. Miller
1Princeton Neuroscience Institute, Princeton University, Princeton NJ 08544 USA
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Carlos D. Brody
1Princeton Neuroscience Institute, Princeton University, Princeton NJ 08544 USA
2Department of Molecular Biology, Princeton University, Princeton NJ 08544
3Howard Hughes Medical Institute
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Matthew M. Botvinick
1Princeton Neuroscience Institute, Princeton University, Princeton NJ 08544 USA
4Department of Psychology, Princeton University, Princeton NJ 08544 USA
5Google DeepMind, London EC4A 3TW, UK
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Abstract

Recent years have seen a surge of research into the neuroscience of planning. Much of this work has taken advantage of a two-step sequential decision task developed by Daw et al. (2011), which gives the ability to diagnose whether or not subjects’ behavior is the result of planning. Here, we present simulations which suggest that the techniques most commonly used to analyze data from this task may be confounded in important ways. We introduce a new analysis technique, which suffers from fewer of these issues. This technique also presents a richer view of behavior, making it useful for characterizing patterns in behavior in a theory-neutral manner. This allows it to provide an important check on the assumptions of more theory-driven analysis such as agent-based model-fitting.

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Posted December 24, 2016.
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Identifying Model-Based and Model-Free Patterns in Behavior on Multi-Step Tasks
Kevin J. Miller, Carlos D. Brody, Matthew M. Botvinick
bioRxiv 096339; doi: https://doi.org/10.1101/096339
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Identifying Model-Based and Model-Free Patterns in Behavior on Multi-Step Tasks
Kevin J. Miller, Carlos D. Brody, Matthew M. Botvinick
bioRxiv 096339; doi: https://doi.org/10.1101/096339

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