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Developing Agent-Based Biological Ontology Prediction for Resource Allocation Strategy in Cellular Systems

Jamal Raiyn and Helena Szczerbicka

International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2007)
San Diego, California (USA), July 16-18, 2007


SPECTS_Summary

Interference is considered as the main reason limiting the capacity and increasing the blocking probability of a cellular system. In this paper we discuss and analyze interference scenarios in cellular systems and we propose a novel scheme based on biological ontology to reduce the interference in cellular system. The biological ontology scheme allows learning and classification of multiple biological process roles for each gene and can predict participation of genes in a biological process. Furthermore, we introduce a multi-agent negotiation strategy which enhanced to implement new tools in order to deal with complex issues.


  
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