A Hybrid Hierarchical Schema-Based Architecture for Distributed Autonomous Agents
Matthew Gillen, Arvind Lakshmikumar, David M. Chelberg, Cynthia R. Marling, Mark Tomko, Lonnie R. Welch · 2002
The advent of inexpensive computers has spurred interest in distributed architectures, in which a cluster of low-cost cornpeters can achieve performance on the same scale as expensive super-computers. The goal of research in distributed systems is to take a highly decomposable problem solution, and put that solution into a framework that allows the system to take full advantage of the sohition’s decomposability. An architecture that allows additional processors to be taken advantage of with little or no manual reconfigurafion would be ideal. Artificial Intelligence (AI) algorithms for planning in nontrivial domains am typically resource-inteasive. We believe that a framework for developing planning algorithms that allows an arbitrary level of decomposition and provides the