Agents that reduce work and information overload
Communications of the ACM
GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Dynamics of an Information-Filtering Economy
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Towards a test‐bed for trading agents in electronic auction markets
AI Communications
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Predictive algorithms in the management of computer systems
IBM Systems Journal
A performance methodology for commercial servers
IBM Journal of Research and Development
An Overview of MANETs Simulation
Electronic Notes in Theoretical Computer Science (ENTCS)
WSEAS TRANSACTIONS on SYSTEMS
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In the paper we will describe how the software agent paradigm can be a powerful and versatile simulation tool to model and study complex systems. Software agents allow to approximate the behaviour of complex systems under several scenario conditions. In some cases, software agents can also be used to approximate solutions to difficult problems occurring in complex systems. To support our position, we will introduce two different domains: consumer decisions in fast moving consumers goods and mobile telecom network management applications. Finally we will show how a software agent modeling approach could be used to study their behaviour in various scenarios.