Prediction & model-building in uncertain environments (C01 (ehem. 05))

• Subject Area: General, Cognitive and Mathematical Psychology ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Human Cognitive and Systems Neuroscience ; Cognitive, Systems and Behavioural Neurobiology
• Term: since 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 276693517

Project C1 will study how agents extract visual information from uncertain environments and integrate it into internal models. We will both develop computational models with simulated artificial agents and perform psychophysical measurements in human observers. Based on our computational models, we will study how humans build and maintain internal models, and how they adapt them to unexpected violations of regularities in the environment. To study the updating with new information, we will develop methods to measure evidence accumulation and to evaluate the ability of agents to differentiate different degrees of uncertainty.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1233: Robust Vision - Inference Principles and Neural Mechanisms
• Applicant Institution: Eberhard Karls Universität Tübingen
• Project Heads: Professor Dr. Philipp Berens; Professor Dr. Peter Dayan; Professor Dr. Volker Franz; Professorin Dr. Ulrike von Luxburg