Heuristic search of heuristics
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{pirrone:2023:SGAI,
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author = "Angelo Pirrone and Peter C. R. Lane and
Laura Bartlett and Noman Javed and Fernand Gobet",
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title = "Heuristic search of heuristics",
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booktitle = "Artificial Intelligence XL",
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year = "2023",
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editor = "Max Bramer and Frederic Stahl",
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volume = "14381",
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series = "Lecture Notes in Computer Science",
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pages = "407--420",
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address = "Cambridge, UK",
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month = dec # " 12-14",
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publisher = "Springer Nature",
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keywords = "genetic algorithms, genetic programming, Decision
Making, Heuristic Search, Program Synthesis",
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isbn13 = "978-3-031-47994-6",
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URL = "https://researchprofiles.herts.ac.uk/files/49542282/Heuristic_search_of_heuristics.pdf",
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DOI = "doi:10.1007/978-3-031-47994-6_36",
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size = "14 pages",
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abstract = "How can we infer the strategies that human
participants adopt to carry out a task? One
possibility, which we present and discuss here, is to
develop a large number of strategies that participants
could have adopted, given a cognitive architecture and
a set of possible operations. Subsequently, the (often
many) strategies that best explain a dataset of
interest are highlighted. To generate and select
candidate strategies, we use genetic programming, a
heuristic search method inspired by evolutionary
principles. Specifically, combinations of cognitive
operators are evolved and their performance compared
against human participants performance on a specific
task. We apply this methodology to a typical
decision-making task, in which human participants were
asked to select the brighter of two stimuli. We
discover several understandable,
psychologically-plausible strategies that offer
explanations of participants performance. The
strengths, applications and challenges of this
methodology are discussed.",
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notes = "500 generations",
- }
Genetic Programming entries for
Angelo Pirrone
Peter C R Lane
Laura Bartlett
Noman Javed
Fernand Gobet
Citations