Autonomous learning agents and what they can teach us about quantum mechanics, biology and more

APA

Ried, K. (2017). Autonomous learning agents and what they can teach us about quantum mechanics, biology and more. Perimeter Institute for Theoretical Physics. https://pirsa.org/17090018

MLA

Ried, Katja. Autonomous learning agents and what they can teach us about quantum mechanics, biology and more. Perimeter Institute for Theoretical Physics, Sep. 19, 2017, https://pirsa.org/17090018

BibTex

          @misc{ scivideos_PIRSA:17090018,
            doi = {10.48660/17090018},
            url = {https://pirsa.org/17090018},
            author = {Ried, Katja},
            keywords = {Quantum Foundations},
            language = {en},
            title = {Autonomous learning agents and what they can teach us about quantum mechanics, biology and more},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2017},
            month = {sep},
            note = {PIRSA:17090018 see, \url{https://scivideos.org/pirsa/17090018}}
          }
          

Katja Ried TNG Technology Consulting

Source Repository PIRSA
Collection

Abstract

What can machine learning teach us about quantum mechanics? I will begin with a brief overview of attempts to bring together the two fields, and the insights this may yield. I will then focus on one particular framework, Projective Simulation, which describes physics-based agents that are capable of learning by themselves. These agents can serve as toy models for studying a wide variety of phenomena, as I will illustrate with examples from quantum experiments and biology.