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. https://pirsa.org/17090018
MLA
Ried, Katja. Autonomous learning agents and what they can teach us about quantum mechanics, biology and more. Perimeter Institute, Sep. 19, 2017, https://pirsa.org/17090018
BibTex
@misc{ pirsa_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}, year = {2017}, month = {sep}, note = {PIRSA:17090018 see, \url{https://pirsa.org}} }
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.