An Algorithmic Approach to Emergence
Staff - Faculty of Informatics
Date: / -
USI Lugano Campus, room SI-004, Informatics building (Via G. Buffi 13)
Charles Bedard, Université de Montréal, Canada
Fundamentally data-driven, algorithmic information theory deals equally with the description of physical systems and their underlying theories. This provides the tools to quantify when, for a complex system, new structures emerge. These structures are shown to organise hierarchically, and to connect with Bennett's logical depth and the bits of the halting probability Omega.
Charles Bedard has graduated from a double major in math and physics, and has been introduced to the beauties of theoretic computer science by his PhD advisor Gilles Brassard.
Host: Prof. Stefan Wolf