Intelligent behavior modeling on information delivery of time-sensitive targets

Abstract

This thesis introduces a case study of utilizing the decentralized partially observableMarkov decision process (DEC-POMDP) in modeling information delivery behavior under the network centric warfare settings. The deployed troops are modeled as bounded rational agents, and they have different communication success possibilities in the long range and the short range. Our DEC-POMDP model indicates how to deliver time-sensitive target information from the monitoring agent to the headquarter through multiple bridging agents. The bridging agents should intelligently decide which information to transmit through the long range or delegate the transfer to other agents via short range communications. Our models shed light on the improved information delivery behavior that are inferred from the DEC-POMDP model with simulation based experiments. We expect that this research would play a role in improving Tactics, Techniques, and Procedures (TTP) in the field operation.