How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
arXiv Preprint Archive September 19, 2024 Volker Tresp, Hang Li
The Tensor Brain (TB) has been introduced as a computational model for perception and memory. This paper provides an overview of the TB model, incorporating recent developments and insights into its functionality. The TB is composed of two primary layers: the representation layer and the index layer. The representation layer serves as a model for the subsymbolic global workspace, a concept...