Mechanical problem solving in Goffin's cockatoos -- Towards modeling complex behavior
Manuel Baum, Theresa Roessler, Antonio J. Osuna-Mascar\'o, Alice, Auersperg, Oliver Brock

TL;DR
This study investigates how Goffin's cockatoos learn to solve a mechanical lockbox puzzle by analyzing their engagement, sensorimotor learning, and action selection, proposing a coarse modeling approach for understanding complex animal behavior.
Contribution
It introduces a combined analysis of multiple behavioral aspects and advocates for a coarse modeling approach to understand complex problem solving in animals.
Findings
Behavior involves interaction of environment and multiple processes.
No single aspect explains behavioral adaptation alone.
Supports coarse modeling before detailed mechanistic models.
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…
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Taxonomy
TopicsTeaching and Learning Programming
