Jian-Qiao Zhu
Biographic Data
| ID | 1936503 |
|---|---|
| NAME | Jian-Qiao Zhu |
| GIVEN NAMES | Jian-Qiao |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU J |
| AFFILIATIONS | Princeton University |
| ORCID | 0000-0003-0133-9551 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Noise in Cognition
Noise in behavior is often considered a nuisance: Although the mind aims for the best possible action, it is let down by unreliability in the sensory and response systems. Researchers often represent noise as additive, Gaussian, and independent. Yet a careful look at behavioral noise reveals a rich structure that defies easy explanation. First, in both perceptual and preferential judgments sensory and response noise may potentially play only mino…
People make suboptimal decisions about existential risks
Allocating resources to maximize the probability that humanity survives a set of existential risks has a different structure from many decision problems, as the objective is the product of the probabilities of desired outcomes rather than the sum. We derive the optimal solution to this problem and use this solution to evaluate the choices that people make when presented with decisions that have this multiplicative structure. Our participants (tot…
Capturing the complexity of human strategic decision-making with machine learning
The statistics of cognitive variability
Psychological variability (i.e., "noise") displays interesting structure which is hidden by the common practice of averaging over trials. Interesting noise structure, termed 'stylized facts', is observed in financial markets (i.e., behaviors from many thousands of traders). Here we investigate the parallels between psychological and financial time series. In a series of three experiments (total N = 202), we successively simplified a market-based …
Clarifying the relationship between coherence and accuracy in probability judgments
Bayesian approaches presuppose that following the coherence conditions of probability theory makes probabilistic judgments more accurate. But other influential theories claim accurate judgments (with high "ecological rationality") do not need to be coherent. Empirical results support these latter theories, threatening Bayesian models of intelligence; and suggesting, moreover, that "heuristics and biases" research, which focuses on violations of c…
No prominent works on this page.
Clarifying the relationship between coherence and accuracy in probability judgments
Bayesian approaches presuppose that following the coherence conditions of probability theory makes probabilistic judgments more accurate. But other influential theories claim accurate judgments (with high "ecological rationality") do not need to be coherent. Empirical results support these latter theories, threatening Bayesian models of intelligence; and suggesting, moreover, that "heuristics and biases" research, which focuses on violations of c…
The statistics of cognitive variability
Psychological variability (i.e., "noise") displays interesting structure which is hidden by the common practice of averaging over trials. Interesting noise structure, termed 'stylized facts', is observed in financial markets (i.e., behaviors from many thousands of traders). Here we investigate the parallels between psychological and financial time series. In a series of three experiments (total N = 202), we successively simplified a market-based …
Noise in Cognition
Noise in behavior is often considered a nuisance: Although the mind aims for the best possible action, it is let down by unreliability in the sensory and response systems. Researchers often represent noise as additive, Gaussian, and independent. Yet a careful look at behavioral noise reveals a rich structure that defies easy explanation. First, in both perceptual and preferential judgments sensory and response noise may potentially play only mino…
People make suboptimal decisions about existential risks
Allocating resources to maximize the probability that humanity survives a set of existential risks has a different structure from many decision problems, as the objective is the product of the probabilities of desired outcomes rather than the sum. We derive the optimal solution to this problem and use this solution to evaluate the choices that people make when presented with decisions that have this multiplicative structure. Our participants (tot…
Capturing the complexity of human strategic decision-making with machine learning
Cognitive psychology (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Social Psychology (3 works) · Cognition (2 works) · Decision-Making and Behavioral Economics (2 works) · Epistemology (2 works) · Experimental Behavioral Economics Studies (2 works) · Mathematics (2 works)