Itai Arieli
Biographic Data
| ID | 5867878 |
|---|---|
| NAME | Itai Arieli |
| GIVEN NAMES | Itai |
| FAMILY NAME | Arieli |
| SIGNATURE | ARIELI I |
| AFFILIATIONS | Technion – Israel Institute of Technology |
| ORCID | 0000-0001-8663-5776 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Feasible Joint Posterior Beliefs
We study the set of possible joint posterior belief distributions of a group of agents who share a common prior regarding a binary state and who observe some information structure. Our main result is that, for the two agent case, a quantitative version of Aumann's Agreement Theorem provides a necessary and sufficient condition for feasibility. For any number of agents, a related "no trade" condition likewise provides a characterization of feasibi…
Multi-issue social 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…
Multi-Dimensional Social Learning
No prominent works on this page.
Multi-Dimensional Social 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…
Multi-issue social learning
Feasible Joint Posterior Beliefs
We study the set of possible joint posterior belief distributions of a group of agents who share a common prior regarding a binary state and who observe some information structure. Our main result is that, for the two agent case, a quantitative version of Aumann's Agreement Theorem provides a necessary and sufficient condition for feasibility. For any number of agents, a related "no trade" condition likewise provides a characterization of feasibi…
Artificial Intelligence (4 works) · Computer Science (4 works) · Complex Network Analysis Techniques (3 works) · Game Theory and Applications (3 works) · Mathematics (3 works) · Opinion Dynamics and Social Influence (3 works) · Social learning (3 works) · Artificial Intelligence (2 works) · Knowledge management (2 works) · Mathematical economics (2 works)