Heuristic search of heuristics

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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