Modeling Value-Based Decision-Making Policies Using Genetic Programming
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- @Article{RN5194,
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author = "Angelo Pirrone and Fernand Gobet",
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title = "Modeling Value-Based Decision-Making Policies Using
Genetic Programming",
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journal = "Swiss Journal of Psychology",
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year = "2020",
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volume = "79",
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number = "3-4",
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pages = "113--121",
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month = dec,
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keywords = "genetic algorithms, genetic programming, value-based
decision-making, cognitive modeling, cognitive
science",
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ISSN = "1421-0185",
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publisher = "Hogrefe AG",
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URL = "https://econtent.hogrefe.com/doi/10.1024/1421-0185/a000241",
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DOI = "doi:10.1024/1421-0185/a000241",
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abstract = "An important way to develop models in psychology and
cognitive science is to express them as computer
programs. However, computational modeling is not an
easy task. To address this issue, some have proposed
using artificial-intelligence (AI) techniques, such as
genetic programming (GP) to semiautomatically generate
models. In this paper, we establish whether models used
to generate data can be recovered when GP evolves
models accounting for such data. As an example, we use
an experiment from decision-making which addresses a
central question in decision-making research, namely,
to understand what strategy, or policy, agents adopt in
order to make a choice. In decision-making, this often
means understanding the policy that best explains the
distribution of choices and/or reaction times of
two-alternative forced-choice decisions. We generated
data from three models using different psychologically
plausible policies and then evaluated the ability and
extent of GP to correctly identify the true generating
model among the class of virtually infinite candidate
models. Our results show that, regardless of the
complexity of the policy, GP can correctly identify the
true generating process. Given these results, we
discuss implications for cognitive science research and
computational scientific discovery as well as possible
future applications.",
- }
Genetic Programming entries for
Angelo Pirrone
Fernand Gobet
Citations