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dc.contributor.author
Feher da Silva, Carolina
dc.contributor.author
Hare, Todd A.
dc.date.accessioned
2018-04-13T08:44:04Z
dc.date.available
2018-04-13T04:33:51Z
dc.date.available
2018-04-13T08:44:04Z
dc.date.issued
2018-04-03
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0195328
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/257533
dc.identifier.doi
10.3929/ethz-b-000257533
dc.description.abstract
Many studies that aim to detect model-free and model-based influences on behavior employ two-stage behavioral tasks of the type pioneered by Daw and colleagues in 2011. Such studies commonly modify existing two-stage decision paradigms in order to better address a given hypothesis, which is an important means of scientific progress. It is, however, critical to fully appreciate the impact of any modified or novel experimental design features on the expected results. Here, we use two concrete examples to demonstrate that relatively small changes in the two-stage task design can substantially change the pattern of actions taken by model-free and model-based agents as a function of the reward outcomes and transitions on previous trials. In the first, we show that, under specific conditions, purely model-free agents will produce the reward by transition interactions typically thought to characterize model-based behavior on a two-stage task. The second example shows that model-based agents’ behavior is driven by a main effect of transition-type in addition to the canonical reward by transition interaction whenever the reward probabilities of the final states do not sum to one. Together, these examples emphasize the task-dependence of model-free and model-based behavior and highlight the benefits of using computer simulations to determine what pattern of results to expect from both model-free and model-based agents performing a given two-stage decision task in order to design choice paradigms and analysis strategies best suited to the current question.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
PLOS
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
A note on the analysis of two-stage task results: How changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
PLoS ONE
ethz.journal.volume
13
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e0195328
en_US
ethz.size
13 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
San Francisco, CA
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-04-13T04:33:53Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-04-13T08:44:07Z
ethz.rosetta.lastUpdated
2018-12-02T09:40:21Z
ethz.rosetta.versionExported
true
ethz.COinS
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