M.S. Candidate: Mert Türedioğlu
Program: Cognitive Science
Date: 26.01.2023 / 09:30
Place: A-212

Abstract: Bouldering – a subdiscipline of climbing– is a both mentally and physically demanding sport as it challenges both the problem-solving skills and physical abilities of climbers. In order to be successful, boulder climbers must find fast and accurate solutions to novel climbing problems they encounter. This study focuses on the decision-making processes of climbers when solving boulder problems in an artificial and standardized climbing wall called MoonBoard. MoonBoard is a popular climbing wall that has a large international community. This study aims to build a goal-based AI agent that learns from previous solutions to plan the sequence of actions for novel boulder problems it encounters. We evaluate the agent's cost estimates and climbing solutions by comparing it to the difficulty estimations and solutions provided by expert climbers.