A Hybrid Cellular Inference Network for Multi-Agent System Organization

Abstract

Multi-agent systems (MAS) must be able to ingest, correlate, and make decisions about disparate evidential sources. Our research on hybrid intrinsic cellular inference network (HICIN) provides a basis for developing reusable, partitionable, and distributable inference structures in an epistemic event-based space. The cellular regions of the inference space allow a gradation of belief measurements in a domain-specific hierarchy. Predicate annotations are encoded using WordNet-based ontology structure and standard synonym set labels, providing for disambiguation between subject domains while acting as a basis for domain specific partitioning of rule sets and belief regions.