Logic & Learning: From Aristotle to Neural Networks

Friday, October 7, 2022 - 02:20 pm

This Friday (10/7), from 2:20 pm - 3:10 pm, at the Seminar in Advances in Computing, Dr. Vaishak Belle from the University of Edinburgh will give a virtual talk.

Virtual Meeting Link

Abstract:
The tension between deduction and induction is perhaps the most fundamental issue in areas such as philosophy, cognition and artificial intelligence (AI). The deduction camp concerns itself with questions about the expressiveness of formal languages for capturing knowledge about the world, together with proof systems for reasoning from such knowledge bases. The learning camp attempts to generalize from examples about partial descriptions about the world. In AI, historically, these camps have loosely divided the development of the field, but advances in cross-over areas such as statistical relational learning, neuro-symbolic systems, and high-level control have illustrated that the dichotomy is not very constructive, and perhaps even ill-formed. In this talk, we briefly survey work that provides further evidence for the connections between logic and learning. Our narrative is structured in terms of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but with ample overlap.

Speaker's Bio: Please see https://vaishakbelle.com/about/ for a brief bio.