Simulation Theory : Bank of Montreal’s Director of Artificial Intelligence on Applying Reinforcement Learning
The simulation hypothesis or simulation theory is the proposal that all of reality, including the Earth and the rest of the universe, could in fact be an artificial simulation, such as a computer simulation. Some versions rely on the development of a simulated reality, a proposed technology that would be able to convince its inhabitants that the simulation was “real”. The simulation hypothesis bears a close resemblance to various other skeptical scenarios from throughout the history of philosophy. The hypothesis was popularized in its current form by Nick Bostrom. The suggestion that such a hypothesis is compatible with all of our perceptual experiences is thought to have significant epistemological consequences in the form of philosophical skepticism. Versions of the hypothesis have also been featured in science fiction, appearing as a central plot device in many stories and films.
Bank of Montreal’s Director of Artificial Intelligence on Reinforcement Learning for Simulation Theory Dr. Yevgeniy Vahlis
BMO AI Labs is the Bank of Montreal’s central artificial intelligence capabilities team. We research and implement advanced AI capabilities within BMO and make them available to the breadth of technology, data science and business teams across the company. The team spans the entire life cycle of an AI product, from ideation through scientific research to productionization at a massive scale.
Dr. Vahlis’ Patents
- Secure Interaction with Input Devices
- METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR VERIFYING USER DATA ACCESS POLICIES WHEN SERVER AND/OR USER ARE NOT TRUSTED
- Cryptographic protocol for portable devices
- Filtering Network Traffic Using Protected Filtering Mechanisms
- METHOD AND APPARATUS FOR PROVIDING SECURE IMAGE ENCRYPTION AND DECRYPTION
- Augmented reality based privacy and decryption
- Verification Service
- METHOD AND APPARATUS FOR PROVIDING PROVABLY SECURE USER INPUT/OUTPUT