Heuristic search of heuristics
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{pirrone:2023:SGAI,
-
author = "Angelo Pirrone and Peter C. R. Lane and
Laura Bartlett and Noman Javed and Fernand Gobet",
-
title = "Heuristic search of heuristics",
-
booktitle = "Artificial Intelligence XL",
-
year = "2023",
-
editor = "Max Bramer and Frederic Stahl",
-
volume = "14381",
-
series = "Lecture Notes in Computer Science",
-
pages = "407--420",
-
address = "Cambridge, UK",
-
month = dec # " 12-14",
-
publisher = "Springer Nature",
-
keywords = "genetic algorithms, genetic programming, Decision
Making, Heuristic Search, Program Synthesis",
-
isbn13 = "978-3-031-47994-6",
-
URL = "https://researchprofiles.herts.ac.uk/files/49542282/Heuristic_search_of_heuristics.pdf",
-
DOI = "doi:10.1007/978-3-031-47994-6_36",
-
size = "14 pages",
-
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.",
-
notes = "500 generations",
- }
Genetic Programming entries for
Angelo Pirrone
Peter C R Lane
Laura Bartlett
Noman Javed
Fernand Gobet
Citations