Contact Us
Cooperative Estimation Via Altruism

Cooperative Estimation Via Altruism

Wednesday 02/09/2015
  • Nitai Stein
  • Work towards M.Sc. degree under the supervision of Prof. Yaakov Oshman
  • Classroom 165, ground floor, Library, Aerospace Eng.
  • Department of Aerospace Engineering
  • Technion – Israel Institute of Technology
  • The talk will be given in Hebrew

Cooperative estimation has been an active area of research in recent time. The idea underlying most state-of-the-art methods is to share information, obtained separately by subsystems comprising the system, and to use that information in an adequately designed (centralized or distributed) estimation algorithm that generates a common (global) estimate. The estimation performance that can thus be attained should be superior to that of each local estimator.

When the subsystems have only one global mission that needs to be accomplished (as opposed to local missions of the subsystems), one might think of better ways to exploit the existence of mutually cooperating subsystems. As the performance of each subsystem is not an issue, but, rather, the accomplishment of the global mission, each subsystem can relinquish the optimality of its own estimator, such that the global performance of the entire system would be optimized – at the cost of attaining sub-optimal performance by the local estimators. We call this cooperation strategy Altruism, taking after the well-known phenomenon exhibited in nature. Altruism has been used in sociology and in game theory to describe strategies that individuals would use in order to improve the chances of their species to strive.

In this seminar we will present two approaches for altruistic cooperation in the problem of parameter estimation by two cooperative estimators. In the first approach, termed heterarchical cooperative estimation, both estimators behave altruistically, sacrificing their own estimation performance for the purpose of improving global estimation performance. In the second approach, termed hierarchical cooperative estimation, one subsystem behaves egoistically (optimizing its own estimation performance) while the other behaves altruistically. When the underlying distribution is Gaussian, explicit results are obtained and demonstrated using a numerical example.

Light refreshments will be served before the lecture
For more info
Please fill in the details

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
*required fields are marked with an asterisk