Human-like Prototypes for Psychologically Inspired Knowledge Representation

Abstract

We evaluate human grouping of everyday objects for a psychologically inspired knowledge representation based on prototype theory, named prototype-based knowledge representation (ProKRep). Our overall aim is to develop a knowledge representation system that one day could be used by kitchen robots. We conducted a study in which participants had to sort different kitchen objects into a digital kitchen. We chose a kitchen as a use case, since people have to tidy up dishes every day. We identified object groups whenever at least half of the participants put two items on the same shelf. Out of these categories we calculated the respective prototype. We then tested the similarities of all categories to all prototypes, which turned out to be reasonable.