Meaning and Understanding in Human-centric AI (EU629)

The MUHAI project explores a radically new approach to push the envelope of human-centric AI technology to come to grips with meaning and understanding. Meanings are distinctions (categories) that are relevant for prediction, classification, communication, problem solving or other mental tasks. The meanings of an experience include what events, actors and entities play a role, the temporal, spatial and causal relations between events, intentions and motivations of the actors, and values that implicitly underly their behaviour. Understanding is the process of reconstructing these meanings and organizing them in terms of a coherent narrative that explains a new experience by linking it into a Personal Dynamic Memory.

Keywords:Human-Centric AI, Semantic Technologies, Computational Linguistics, Embodied Semantics, Human-Robot Interaction, Computational Social Science

Disciplines:Semantics