Time+Place: Tuesday 18/11/2014 14:30 Room 337-8 Taub Bld.
Title: The Axiomatic Approach and the Internet
Speaker: Moshe Tennenholtz - Colloquium Lecture http://iew3.technion.ac.il/Home/Users/Moshet.phtml
Affiliation: Faculty of Industrial Engineering and Management, Technion
Host: Erez Petrank

Abstract:

Ranking, reputation, recommendation, trust, and viral marketing systems 
have become central parts of the new on-line economy. These systems 
aggregate agents' reviews of products and services, and of each other, 
into valuable information, as well as use social networks to facilitate 
purchase.
Our work along the last ten years shows that an extremely powerful way 
for the study and design of such systems is the axiomatic approach, 
originating from and expanding on the classical theory of social choice. 
In this talk we discuss some representative results of our work.

Bio:
Moshe Tennenholtz is a professor with the faculty of Industrial 
Engineering and Management at the Technion, where he holds the 
Sondheimer Technion Academic Chair. Until recently he also was 
a  Principal Researcher with Microsof Research, where he founded the 
basic research activity at the Microsoft Israel R&D center. He is also 
the scientific director of the Technion--Microsoft Electronic Commerce 
Research Center.  Moshe served as the editor-in-chief of the Journal of 
Artificial Intelligence Research [JAIR]; he is also an associate editor 
of Games and Economic Behavior, the international journal of autonomous 
agents and multi-agent systems, serves on the editorial board of the 
Journal of Machine Learning Research, and served on the editorial board 
of the AI magazine. Moshe is a AAAI fellow and a fellow of the society 
for advancement of economic theory. He is a winner of the ACM Allen 
Newell Award and a winner of the ACM/SIGART AA award. He served as 
program chair of the ACM Electronic Commerce [EC] conference, and of the 
TARK conference. In joint work with colleagues and students he 
introduced several contributions to the interplay between computer 
science and game theory, such as the study of artificial social systems, 
co-learning, non-cooperative computing, distributed games, the axiomatic 
approach to qualitative decision making, the axiomatic approach to 
ranking, reputation, and trust systems, competitive safety analysis, 
program equilibrium, mediated equilibrium, and learning equilibrium.

Desserts will be served from 14:15
Lecture starts at 14:30