Logic and learning
Organisers: David Pym (The Alan Turing Institute and UCL, UK; Nathanael Fijalkow (The Alan Turing Institute and UCL, UK)
Date: 11 – 12 January 2018
Day 1: 9:30 – 16:45
Day 2: 9:00 – 17:00
Venue: The Alan Turing Institute
Registration for this event is now closed. To join the waiting list, please email firstname.lastname@example.org.
Attendees to the workshop should visit the GitHub page for information about the programme.
Logic has proved in the last decades a powerful tool in understanding complex systems. It is instrumental in the development of formal methods, which are mathematically based techniques obsessing on hard guarantees. Learning is a pervasive paradigm which has seen tremendous success recently. The use of statistical approaches yields practical solutions to problems which yesterday seemed out of reach. These two mindsets should not be kept apart, and many efforts have been made recently to combine the formal reasoning offered by logic and the power of learning.
The goal of this workshop is to bring together expertise from various areas to try and understand the opportunities offered by combining logic and learning.
The programme has four axes, starting from a theoretical standpoint and going to a more practical one: logic and automata, verification, programming languages, and neural networks.
Registration for this event is now closed, but if you would like to be added to the waiting list please email: email@example.com