van der Schaar Lab

SYSID 2021 plenary talk


Mihaela van der Schaar will deliver a plenary talk at the 19th IFAC Symposium on System Identification (​SYSID 2021), an online symposium hosted by the International Federation of Automatic Control (IFAC).


Quantitative epistemology: conceiving a new human-machine partnership


Quantitative epistemology is a new and transformational area of research pioneered by our lab in Cambridge as a strand of machine learning aimed at understanding, supporting, and improving human decision-making. We are developing machine learning models that capture how humans acquire new information, how they pay attention to such information, how their beliefs may be represented, how their internal models may be structured, how these different levels of knowledge are leveraged in the form of actions, and how such knowledge is learned and updated over time. Because our approach is driven by observational data in studying knowledge as well as using machine learning methods for supporting and improving knowledge acquisition and its impact on decision-making, we call this “quantitative epistemology.”

Our methods are aimed at studying human decision-making, identifying potential suboptimalities in beliefs and decision processes (such as cognitive biases, selective attention, imperfect retention of past experience, etc.), and understanding risk attitudes and their implications for learning and decision-making. This would allow us to construct decision support systems that provide humans with information pertinent to their intended actions, their possible alternatives and counterfactual outcomes, as well as other evidence to empower better decision-making.

Location and local date/time

This event will take place online on July 16 at 14:00 CEST (13:00 BST).

About the event

The scope of the symposium covers all major aspects of system identification, machine learning techniques for decision and control of dynamical processes, experimental modelling, signal processing, adaptive control and reinforcement learning. Theoretical, methodological and scientific developments involve a large variety of application areas. To enhance the applications and industrial perspective of the symposium, participation by authors from industry is particularly encouraged.

The event is finished.


Jul 16 2021


Note: time is shown in BST
13:00 - 14:00