A hybrid cellular inference network for multi-agent system organization

Eric R. Lindahl, Qiuming Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
Pages91-96
Number of pages6
DOIs
StatePublished - 2007
Event2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 - Waltham, MA, United States
Duration: Apr 30 2007May 3 2007

Publication series

Name2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

Conference

Conference2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
CountryUnited States
CityWaltham, MA
Period4/30/075/3/07

ASJC Scopus subject areas

  • Computer Science(all)

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    Lindahl, E. R., & Zhu, Q. (2007). A hybrid cellular inference network for multi-agent system organization. In 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 (pp. 91-96). [4227530] (2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007). https://doi.org/10.1109/KIMAS.2007.369791