podcast -- Yahoo Answers users seek advice, opinion, as well as expertise in research by Mark Ackerman, Lada Adamic and STIET fellow Eytan Bakshy
Podcast discussing the STIET research program with Jeff MacKie-Mason and Tom Finholt
podcast -- Yahoo Answers users seek advice, opinion, as well as expertise in research by Mark Ackerman, Lada Adamic and STIET fellow Eytan Bakshy
Podcast discussing the STIET research program with Jeff MacKie-Mason and Tom FinholtRahul Sami
Assistant Professor of Information, University of Michigan
4-5:30 pm
UM: 411 West Hall
WSU: 313 State Hall (via videoconference)
I will describe our recent results on protocols that enable potentially profitable but risky interactions between two parties (the principal and the agent), in the absence of a direct trust relationship or common currency between the two parties. In such situations, it is possible to safely enable interactions mediated by a chain of credit or "trust" links. We introduce a model built on pairwise trust accounts that provides insight into a number of applications, including open currency systems, network trust aggregation systems, and manipulation-resistant recommender systems.
We show that with indirect trust exchange protocols, some friction is unavoidable: Any protocol that satisfies a natural strategic safety property that we call sum-sybilproofness can sometimes lead to a reduction in expected overall trust balances even on interactions that are profitable in expectation. Thus, for long-term growth of trust accounts, which are assets enabling risky but valuable interactions, it may be necessary to limit the use of indirect trust. We present transitive trust protocols that achieves the optimal rate of expected growth in trust accounts, among all protocols satisfying the sum-sybilproofness condition.
This talk covers joint work with Paul Resnick. The paper on which it is based is at: http://www.umich.edu/~rsami/papers/ec09-post.pdf
Rahul Sami is an Assistant Professor at the University of Michigan School of Information. His research is focused on topics in the intersection of computer science and economics that arise in the study of Internet protocols and systems. Sami is interested in designing and analyzing incentive mechanisms, markets, and reputation systems to enable self-interested economic entities to cooperatively solve common goals, and in studying the distributed-computation problems that arise when mechanisms have to be computed in a network. He is also interested in other problems in theoretical computer science. Before coming to SI, Sami was a post-doctoral associate in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.