Reputation-based Trust in Decentralized Markets
Trust is an important factor that facilitates our social life. Since more and more social
interactions are occurring over electronic channels supporting trust in such an environment is a
both for private and professional aspects of daily life. Traditional security approaches can
information originates from the right party and is not tampered with, but do not help to answer
the question whether the party can be trusted. Exclusively relying on trusted intermediaries or
trusted third parties implies to sacrifice the own autonomy. Decentralized ways for establishing
trust correspond to a fundamental need and desire of humans to reduce risks in daily life and to
preserve autonomy at the same time.
Reputation mechanisms offer a promising alternative for building trust in online markets. The
reputation of an agent (i.e. information about past behavior) directly influences the revenues of
that agent. Present misbehavior attracts bad reputation which in turn decreases the future income of
the agent. When carefully designed, reputation mechanisms make cheating economically unattractive,
since the present gain obtained from cheating is outweighed by future losses caused by bad reputation.
The goal of this project is to study robust and scalable computational mechanisms for implementing
reputation-based trust in decentralized markets. The project brings together competences from the
three most relevant areas: experimental
economics, software agents, and distributed information systems. As results, we expect new
mechanisms for exploiting the reputation effect in decentralized system, as well as sofware
implementations, and experimental evaluations of their properties.
The project is a collaboration between three research laboratories:
Artificial Intelligence Laboratory,
the Institute of Research in Management
and the Distributed Information Systems Laboratory
coming from two universities: Ecole Polytechnique
Fédérale de Lausanne and
Université de Lausanne
This project is financed by the Swiss National Science Foundation.
September 13, 2017 03:56:04