2 papers
q-bio.NC2026
Explaining Human Choice Probabilities with Simple Vector Representations
Peter A. V. DiBerardino, Britt Anderson
We formalize human choice behavior in a probabilistic hide-and-seek task. In our geometric construction, vectors represent participant choice frequencies as well as probability mat…
cs.AI2025
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
Nolan P Shaw, P Michael Furlong, Britt Anderson +1
Connectionist approaches to machine learning, \emph{i.e.} neural networks, are enjoying a considerable vogue right now. However, these methods require large volumes of data and pro…