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Titlebook: Cooperative Information Agents XI; 11th International W Matthias Klusch,Koen V. Hindriks,Leon Sterling Conference proceedings 2007 Springer

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High-Performance Agent System for Intrusion Detection in Backbone Networksthe speed requirements, wire-speed data acquisition layer is based on hardware-accelerated NetFlow like probe, which provides overview of current network traffic. The data is then processed by detection agents that use heterogenous anomaly detection methods. These methods are correlated by means of
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Neural Network Based Multiagent System for Simulation of Investing Strategiesstment is approximated by log-normal and high-wealth range by Pareto wealth distribution. This research aims to construct a simple neural network (NN) based multiagent system of heterogeneous agents’ targeted to get on the efficiency frontier by combining investments to the real life index funds and
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Business Ecosystem Modelling: Combining Natural Ecosystems and Multi-Agent Systemsamic and complex business environments. Nevertheless, the lack of a convincing model of a business ecosystem has led to the development of software which only give organisations a partial aid whilst neglecting their need for adaptation. Research in Multi-Agent Systems has proved to be suitable for m
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From Local Search to Global Behavior: Ad Hoc Network Exampleonsensus is performed by demonstrating the applicability of a low-complexity physics-oriented approach to a large-scale ad hoc network problem. The framework is based on modeling cooperative MAS by a physics percolation theory. According to the model, agent-systems inherit physical properties, and t
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The Effect of Mediated Partnerships in Two-Sided Economic Searchan agent acts as a mediator, establishing a partnership between a pair of agents it encountered along its search, thereby reducing the other agents’ amount of search. Surprisingly, this reduction in market friction induced by mediated partnerships does not always improve market efficiency. Use of me
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Using Ant’s Brood Sorting to Increase Fault Tolerance in Linda’s Tuple Distribution Mechanismale and level of complexity of today’s applications is enough to make the current ways of thinking about distributed systems (e.g. deterministic decisions about data organization) obsolete. All the same, computer scientists are searching for new approaches and are paying more attention to stochastic
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