Boning Yu
Biographic Data
| ID | 8839741 |
|---|---|
| NAME | Boning Yu |
| GIVEN NAMES | Boning |
| FAMILY NAME | Yu |
| SIGNATURE | YU B |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0003-1723-3663 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A calibration theorem for risk-weighted expected utility theory
This paper establishes a calibration theorem for risk-weighted expected utility theory (REU). REU extends expected utility theory (EU) by introducing a risk function, which allows a decision-maker to weigh potential outcomes according to their respective risks when determining the instrumental value of an action. REU is intuitively appealing as it seems to resolve some of the classical challenges to EU, such as the Allais paradox and Rabin’s cali…
Deliberation Under Dynamic Discovery of Evidence
I present a model of group deliberation that conceives of evidence discovery as a dynamic process, where agents’ chance of discovering high-quality evidence depends on how close their current beliefs are to the truth. Through computer simulations, I examine the impact of different practices of communication of both evidence and conclusions on groups’ performance in finding the truth. I draw three major conclusions. First, when agents have access …
No prominent works on this page.
A calibration theorem for risk-weighted expected utility theory
This paper establishes a calibration theorem for risk-weighted expected utility theory (REU). REU extends expected utility theory (EU) by introducing a risk function, which allows a decision-maker to weigh potential outcomes according to their respective risks when determining the instrumental value of an action. REU is intuitively appealing as it seems to resolve some of the classical challenges to EU, such as the Allais paradox and Rabin’s cali…
Deliberation Under Dynamic Discovery of Evidence
I present a model of group deliberation that conceives of evidence discovery as a dynamic process, where agents’ chance of discovering high-quality evidence depends on how close their current beliefs are to the truth. Through computer simulations, I examine the impact of different practices of communication of both evidence and conclusions on groups’ performance in finding the truth. I draw three major conclusions. First, when agents have access …
Calibration (1 work) · Decision-Making and Behavioral Economics (1 work) · Deliberation (1 work) · Economic and Environmental Valuation (1 work) · Expected utility hypothesis (1 work) · Expected value (1 work) · Game Theory and Applications (1 work) · Health Systems, Economic Evaluations, Quality of Life (1 work) · Information and Communications Technology (1 work) · Mobile Crowdsensing and Crowdsourcing (1 work)