EXC 2002 Science of Intelligence Project 02
Capabilities and consequences of recursive, hierarchical information processing in visual systems

This research project investigates human and robot perception and aims to develop a constructive understanding of perceptual information processing. This will be done by setting up a hierarchical functional architecture for synthetic perceptual systems to uncover potential consequences that can be tested psychophysically in these systems and compared to performance of humans. By examining the resulting analytic-synthetic loop, we will derive intelligent principles of processing in hierarchical perceptual systems, discover discrepancies from these principles in biological implementations (i.e., in humans) and, ideally, determine the sources of potential constraints revealed by the data collected in human participants. Based on the resulting insights we will produce an algorithmic model of human perception, capable of replicating observed phenomena and of making meaningful predictions about experimental outcomes. We will also produce robot perception algorithms that leverage insights about the human perceptual system to advance the state of the art in the synthetic disciplines.

Rolfs, Martin Prof. Dr. (Details) (Allgemeine Psychologie - Aktive Wahrnehmung und Kognition (S))

Beteiligte externe Organisationen

DFG-Exzellenzinitiative: Cluster

Projektstart: 10/2019
Projektende: 10/2022

Zugehöriges Dachprojekt
01/2019 - 12/2025

Zuletzt aktualisiert 2020-01-06 um 19:52