In this research
endeavor, we aim to develop flexible and robust methods for managing
decentralized information aggregation. We will be developing an associative
rendezvous based decentralized control system for information aggregation that:
- operates in a decentralized way while exhibiting desirable system-wide
characteristics
- produces effective local decisions that contribute towards an effective
overall system (emerging behavior)
- operates in a computationally efficient manner
- provides reliability in the sense that the loss of network elements does
not prevent rest of the system from functioning
We may use game theory-based approaches and content-based interactions to
view management of information aggregation activities from an economic point of
view and model the desired system-wide behavior using knowledge obtained from
utility functions. In order to optimize their individual utility in such
environments, strategies will be designed for network elements while keeping in
mind the overall protocol of the system. These strategies can be augmented
through adaptive behavior (for example, from learning and adjusting actuators)
that aims to utilize knowledge gained from past interactions.