Incrementally Refined Acquaintance Model for Distributed Planning and Resource Allocation in Semi-trusted Environments

This paper presents a specific contracting algorithm that contributes to the process of distributed planning and resource allocation in competitive, semi-trusted environments. The presented contraction algorithm is based on incrementally refined acquaintance models (IRAM) of the agents that provide the right set of approximate knowledge needed for appropriate task decomposition.