Manuel Baum, Theresa Roessler, Antonio J. Osuna-Mascaró, Alice Auersperg, Oliver Brock
{"title":"Mechanical problem solving in Goffin's cockatoos -- Towards modeling complex behavior","authors":"Manuel Baum, Theresa Roessler, Antonio J. Osuna-Mascaró, Alice Auersperg, Oliver Brock","doi":"arxiv-2408.05967","DOIUrl":null,"url":null,"abstract":"Research continues to accumulate evidence that Goffin's cockatoos (Cacatua\ngoffiniana) can solve wide sets of mechanical problems, such as tool use, tool\nmanufacture, and solving mechanical puzzles. However, the proximate mechanisms\nunderlying this adaptive behavior are largely unknown. In this study, we\nanalyze how three Goffin's cockatoos learn to solve a specific mechanical\npuzzle, a lockbox. The observed behavior results from the interaction between a\ncomplex environment (the lockbox) and different processes that jointly govern\nthe animals' behavior. We thus jointly analyze the parrots' (1) engagement, (2)\nsensorimotor skill learning, and (3) action selection. We find that neither of\nthese aspects could solely explain the animals' behavioral adaptation and that\na plausible model of proximate mechanisms (including adaptation) should thus\nalso jointly address these aspects. We accompany this analysis with a\ndiscussion of methods that may be used to identify such mechanisms. A major\npoint we want to make is, that it is implausible to reliably identify a\ndetailed model from the limited data of one or a few studies. Instead, we\nadvocate for a more coarse approach that first establishes constraints on\nproximate mechanisms before specific, detailed models are formulated. We\nexercise this idea on the data we present in this study.","PeriodicalId":501517,"journal":{"name":"arXiv - QuanBio - Neurons and Cognition","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Neurons and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.05967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Research continues to accumulate evidence that Goffin's cockatoos (Cacatua
goffiniana) can solve wide sets of mechanical problems, such as tool use, tool
manufacture, and solving mechanical puzzles. However, the proximate mechanisms
underlying this adaptive behavior are largely unknown. In this study, we
analyze how three Goffin's cockatoos learn to solve a specific mechanical
puzzle, a lockbox. The observed behavior results from the interaction between a
complex environment (the lockbox) and different processes that jointly govern
the animals' behavior. We thus jointly analyze the parrots' (1) engagement, (2)
sensorimotor skill learning, and (3) action selection. We find that neither of
these aspects could solely explain the animals' behavioral adaptation and that
a plausible model of proximate mechanisms (including adaptation) should thus
also jointly address these aspects. We accompany this analysis with a
discussion of methods that may be used to identify such mechanisms. A major
point we want to make is, that it is implausible to reliably identify a
detailed model from the limited data of one or a few studies. Instead, we
advocate for a more coarse approach that first establishes constraints on
proximate mechanisms before specific, detailed models are formulated. We
exercise this idea on the data we present in this study.