It has been one of the fundamental assumptions of the philosophy of mind that there is a basic similarity between information processing in computers and in human cognition. This similarity is thought to allow to use one type of information processing as a model for the other type: Human cognition is thought to provide standards for the ascription of consciousness to artificial systems in the Turing Test, conversely, Deep Neural Networks are thought to provide insight into information processing in human cognition.Recent developments in scientific research and in computer technology, however, have cast severe doubt on this assumption.After a quick look back at the original assumption, the seminar will discuss more recent papers discussing both the use of artificial systems as models for human cognition and the use of human cognition for the attribution of higher cognitive abilities to artificial systems like large language models.The seminar aims at specifying criteria that can help to distinguish between valid and invalid inferences from one system to the other.
Die Veranstaltung wurde 2 mal im Vorlesungsverzeichnis SoSe 2024 gefunden:
