Skip to contentSkip to filters

We use cookies for analytics.

Topic: risk

Seminar
2 seminars
Podcast episode
1 podcast episode

In Computational Neuroscience and Psychiatry

Podcast episode · Statistics

David Spiegelhalter and the art of uncertainty

Maths on the Move

Oct 17, 2024

David Spiegelhalter discusses how to reason about chance, incomplete knowledge, risk and luck. Drawing on his book The Art of Uncertainty, the conversation moves between everyday surprises and consequential historical decisions. It examines why uncertainty can be personal and why disagreement can help people reason more carefully.

Seminar · Cognition

The ubiquity of opportunity cost: Foraging and beyond

Nathaniel Daw · Princeton University

Wed, Mar 30, 2022 · 05:00 UTC

A key insight from the foraging literature is the importance of assessing the overall environmental quality — via global reward rate or similar measures, which capture the opportunity cost of time and can guide behavioral allocation toward relatively richer options. Meanwhile, the majority of research in decision neuroscience and computational psychiatry has focused instead on how choices are guided by much more local, event-locked evaluations: of individual situations, actions, or outcomes. I review a combination of research and theoretical speculation from my lab and others that emphasizes t

Seminar · Computational Neuroscience

Peril, Prudence and Planning as Risk, Avoidance and Worry

Peter Dayan · University of Tübingen

Thu, Apr 1, 2021 · 01:00 UTC

Risk occupies a central role in both the theory and practice of decision-making. Although it is deeply implicated in many conditions involving dysfunctional behavior and thought, modern theoretical approaches to understanding and mitigating risk in either one-shot or sequential settings, which are derived largely from finance and economics, have yet to permeate fully the fields of neural reinforcement learning and computational psychiatry. I will discuss the use of dynamic and static versions of one prominent approach, namely conditional value-at-risk, to examine both the nature of risk avoida