We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Real-time computations in multi-agent systems have been studied from different perspectives of reasoning, message passing, resource management and negotiations. Separate treatment...
Cost-effective engineering and evolution of complex software must involve the different stakeholders concurrently and collaboratively. The hard problem is providing computer suppo...
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...