20.500.12556/RUP-22346 General interaction battery simple object navigation and affordances (GIBSONA) Perception of affordances is an agent’s capability to identify what action-possibilities exist with a particular object or set of objects, based on its own physical properties and capacities. This capability has been well explored in psychology because perception of affordances provides the basis for understanding and interacting with the world. For the same reason, affordance perception is also crucial for AI research. Most approaches to evaluating AI are task-oriented which means that they are geared towards evaluating aggregate performance on a specific set of tasks, rather than focusing on the nature and degree of underlying capabilities that drive task performance. An alternative approach to measuring performance in AI is capability-oriented evaluation, which aims to measure robust, task-independent capabilities across different conditions and difficulties. This approach allows not only measurement of performance but also prediction of performance on novel challenges that share the same fundamental demands. In the context of affordances, there are currently no clear guidelines as to how such capability-oriented approach should best be implemented; for example, there is much variation in what perception of affordances entails. Perhaps for this reason, no comprehensive battery of affordances tasks for AI currently exists. Building on this gap, the aims of this paper are to first, lay out some candidate guidelines for the construction of capability-oriented task batteries for embodied AI and second, to construct and present a battery GIBSONA that takes a step towards this goal: Assessing perception of a set of affordances in AI, directly following these guidelines. perception of affordances capability-oriented AI evaluation animal AI capability-oriented task battery prcepcija afordanc evaluacija kapacitet umetne inteligence živalska umetna inteligenca baterija nalog za ocenjevanje kapacitet umetne inteligence true false true Angleški jezik Slovenski jezik Članek v reviji 2025-12-24 11:33:16 2025-12-24 11:33:20 2025-12-30 03:03:56 0000-00-00 00:00:00 2025 0 0 str. 1-14 article 101411 Vol. 94 Dec. 2025 0000-00-00 Zaloznikova NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2025-09-26 159.9:004.8 1389-0417 10.1016/j.cogsys.2025.101411 262912515 RAZ_Rutar_Danaja_2025.pdf RAZ_Rutar_Danaja_2025.pdf 1 2F02A21B67167D678F29739CB228644F 2161e58ad8d7d8ace802d7fe6ebd4ed905c84831ffc4e84381034d3f56c5ad05 72c667fa-e0b4-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=32466 https://www.sciencedirect.com/science/article/pii/S1389041725000919 1 49c019f3-e0b4-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=32465 Fakulteta za matematiko, naravoslovje in informacijske tehnologije 0 0 0