9 April 2007 Collective agents interpolative integral (CAII) for asymmetric threat detection
Author Affiliations +
Abstract
This paper presents a reasoning system that pools the judgments from a set of inference agents with information from heterogeneous sources to generate a consensus opinion that reduces uncertainty and improves knowledge quality. The system, called Collective Agents Interpolation Integral (CAII), addresses a high level data fusion problem by combining, in a mathematically sound manner, multi-models of inference in knowledge intensive multi agent architecture. Two major issues are addressed in CAII. One is the ability of the inference mechanisms to deal with hybrid data inputs from multiple information sources and map the diverse data sets to a uniform representation in an objective space of reasoning and integration. The other is the ability of the system architecture to allow the continuous and discrete outputs of a diverse set of inference agents to interact, cooperate, and integrate.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiuming Zhu, Qiuming Zhu, Stephen O'Hara, Stephen O'Hara, Michael Simon, Michael Simon, Eric Lindahl, Eric Lindahl, Plamen V. Petrov, Plamen V. Petrov, } "Collective agents interpolative integral (CAII) for asymmetric threat detection", Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710I (9 April 2007); doi: 10.1117/12.718322; https://doi.org/10.1117/12.718322
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

Reference model for data fusion systems
Proceedings of SPIE (April 03 2000)
Using data mining techniques for building fusion models
Proceedings of SPIE (March 21 2003)
Thoughts on higher-level adversary modeling
Proceedings of SPIE (September 04 2003)
Decision support system for capital investment risk analysis
Proceedings of SPIE (December 22 1993)
A local approach for focussed Bayesian fusion
Proceedings of SPIE (April 13 2009)

Back to Top