Manuel Mueller-Frank
Biographic Data
| ID | 8795683 |
|---|---|
| NAME | Manuel Mueller-Frank |
| GIVEN NAMES | Manuel |
| FAMILY NAME | Mueller-Frank |
| SIGNATURE | MUELLER-FRANK M |
| AFFILIATIONS | IESE Business School |
| ORCID | 0000-0001-5186-8094 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Multidimensional Social Learning
This article provides a model of social learning where the order in which actions are taken is determined by an |$m$|-dimensional integer lattice rather than along a line as in the herding model. The observation structure is determined by a random network. Every agent links to each of his preceding lattice neighbours independently with probability |$p$| , and observes the actions of all agents that are reachable via a directed path in the realize…
Subtle Manipulation of Opinions in Social Networks
Robust Non-Bayesian Learning
A General Model of Boundedly Rational Observational Learning
Multi-Dimensional Social Learning
Social Learning in Networks
Reaching Consensus in Social Networks
The Robustness of Consensus in Network-Based Non-Bayesian Learning Models
A Comment on 'Bayesian Learning in Social Networks'
No prominent works on this page.
The Robustness of Consensus in Network-Based Non-Bayesian Learning Models
A Comment on 'Bayesian Learning in Social Networks'
Reaching Consensus in Social Networks
Social Learning in Networks
Multi-Dimensional Social Learning
A General Model of Boundedly Rational Observational Learning
Subtle Manipulation of Opinions in Social Networks
Robust Non-Bayesian Learning
Multidimensional Social Learning
This article provides a model of social learning where the order in which actions are taken is determined by an |$m$|-dimensional integer lattice rather than along a line as in the herding model. The observation structure is determined by a random network. Every agent links to each of his preceding lattice neighbours independently with probability |$p$| , and observes the actions of all agents that are reachable via a directed path in the realize…
Opinion Dynamics and Social Influence (9 works) · Computer Science (8 works) · Artificial Intelligence (7 works) · Game Theory and Applications (7 works) · Complex Network Analysis Techniques (6 works) · Psychology (5 works) · Social learning (4 works) · Bayesian probability (3 works) · Knowledge management (3 works) · Bayesian network (2 works)