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A multi-agent systems approach to distributed bayesian information fusion

Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan Nunnink, Thomas Hood
2010 Information Fusion  
In section 4 we introduce Distributed Perception Networks, a multi-agent fusion architecture.  ...  These rules are applied in distributed perception networks (DPN), a multi agent systems approach to distributed Bayesian information fusion.  ...  Namely, the DPN and other distributed approaches, such as multi-agent MSBNs [29] , can be very inefficient if the corresponding domain models are densely connected.  ... 
doi:10.1016/j.inffus.2009.09.007 fatcat:xl4hd6k5bbhenl6ro46kr6hkju


Xiangdong An, Nick Cercone
2009 Computational intelligence  
Multiply sectioned Bayesian networks (MSBNs) support multiagent probabilistic inference in distributed large problem domains, where agents (subdomains) are organized by a tree structure (called hypertree  ...  In earlier work, all belief updating methods on a hypertree are made of two rounds of propagation, each of which is implemented as a recursive process.  ...  ., agents can only share some limited information with each other and this forms the constraint of many operations in MSBNs, e.g. triangulation (Xiang, 2001) , interface verification (Xiang & Chen,  ... 
doi:10.1111/j.1467-8640.2008.01328.x fatcat:asjo7g67rzh3th2z7z25vmf3xq

Statistical shape modeling in virtual assembly using PCA-technique

Björn Lindau, Lars Lindkvist, Alf Andersson, Rikard Söderberg
2013 Journal of manufacturing systems  
Acknowledgements We thank the whole Geometry and Motion Planning Group for useful discussions and help in the implementation.  ...  We have used the Java-based software toolkit WEBWEAVR IV to implement the component-based diagnostic system and to demonstrate the process of distributed modelling, multi-agent model verification, multi-agent  ...  MSBN-based Monitoring and Diagnosis Case Study MSBNs appear to be a very promising framework for monitoring and diagnosis in a multi-agent environment such as EAS for example.  ... 
doi:10.1016/j.jmsy.2013.02.002 fatcat:eaucg4ewmre3lefsbiihax6tza

D1.6 Operation, Management and Orchestration of Network Slices

Jorge Carapinha
2021 Zenodo  
Broadband Network (MSBN) architecture.  ...  Prometheus [55] works on pull-based mechanism, where the agents or exporters collect the metrics and Prometheus pulls those metrics with the help of the agents.  ...  The dichotomy between centralized and distributed orchestration has implications in business and operational models of Service Providers.  ... 
doi:10.5281/zenodo.5113058 fatcat:shuetsjsvfcd3a5zsh3uszvlku

Multiply sectioned Bayesian belief networks for large knowledge-based systems: an application to neuromuscular diagnosis

Yang Xiang
Multiply Sectioned Bayesian Networks (MSBNs) have been developed to exploit localization.  ...  An expert system QUALICON for quality control in electromyography has been implemented as a pilot study of Bayesian nets. The performance is comparable to that from human professionals.  ...  If X implies Y, then verification of Y makes X more credible.  ... 
doi:10.14288/1.0064986 fatcat:zxfoezx6vbcx5ix5j63dx3hesu

Knowledge Acquisition Analytical Games: games for cognitive systems design [article]

Multi-Source Dynamic Bayesian Network for Behavioural Analysis The MARISA Multi-Source Dynamic Bayesian Network (MSBN) for Behavioural Analysis Service is a probabilistic based vessel behavioural analysis  ...  Verification of K2AGs is performed all along the design cycle and culminates in the play-test phase, after the implementation modelling step.  ... 
doi:10.15167/de-rosa-francesca_phd2020-02-26 fatcat:2hnffa7yengopfjfbineho2qgy