Jan-Philipp Fränken
Biographic Data
| ID | 4981691 |
|---|---|
| NAME | Jan-Philipp Fränken |
| GIVEN NAMES | Jan-Philipp |
| FAMILY NAME | Fränken |
| SIGNATURE | FRÄNKEN J |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0001-5467-1887 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Naïve information aggregation in human social learning
To glean accurate information from social networks, people should distinguish evidence from hearsay. For example, when testimony depends on others' beliefs as much as on first-hand information, there is a danger of evidence becoming inflated or ignored as it passes from person to person. We compare human inferences with an idealized rational account that anticipates and adjusts for these dependencies by evaluating peers' communications with respe…
Algorithms of adaptation in inductive inference
We investigate the idea that human concept inference utilizes local adaptive search within a compositional mental theory space. To explore this, we study human judgments in a challenging task that involves actively gathering evidence about a symbolic rule governing the behavior of a simulated environment. Participants learn by performing mini-experiments before making generalizations and explicit guesses about a hidden rule. They then collect add…
Cascades Across Networks Are Sufficient for the Formation of Echo Chambers
Investigating how echo chambers emerge in social networks is increasingly crucial, given their role in facilitating the retention of misinformation, inducing intolerance towards opposing views, and misleading public and political discourse. Previously, the emergence of echo chambers has been attributed to psychological biases and inter-individual di erences, requiring repeated interactions among network-users and rewiring or pruning of social tie…
Cascades Across Networks Are Sufficient for the Formation of Echo Chambers
Investigating how echo chambers emerge in social networks is increasingly crucial, given their role in facilitating the retention of misinformation, inducing intolerance towards opposing views, and misleading public and political discourse. Previously, the emergence of echo chambers has been attributed to psychological biases and inter-individual di erences, requiring repeated interactions among network-users and rewiring or pruning of social tie…
Cascades Across Networks Are Sufficient for the Formation of Echo Chambers
Investigating how echo chambers emerge in social networks is increasingly crucial, given their role in facilitating the retention of misinformation, inducing intolerance towards opposing views, and misleading public and political discourse. Previously, the emergence of echo chambers has been attributed to psychological biases and inter-individual di erences, requiring repeated interactions among network-users and rewiring or pruning of social tie…
Algorithms of adaptation in inductive inference
We investigate the idea that human concept inference utilizes local adaptive search within a compositional mental theory space. To explore this, we study human judgments in a challenging task that involves actively gathering evidence about a symbolic rule governing the behavior of a simulated environment. Participants learn by performing mini-experiments before making generalizations and explicit guesses about a hidden rule. They then collect add…
Naïve information aggregation in human social learning
To glean accurate information from social networks, people should distinguish evidence from hearsay. For example, when testimony depends on others' beliefs as much as on first-hand information, there is a danger of evidence becoming inflated or ignored as it passes from person to person. We compare human inferences with an idealized rational account that anticipates and adjusts for these dependencies by evaluating peers' communications with respe…
Cognitive psychology (3 works) · Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Cognitive science (2 works) · Inference (2 works) · Opinion Dynamics and Social Influence (2 works) · Social Psychology (2 works)