432 research outputs found
Adaptive multiagent system for seismic emergency management
Presently, most multiagent frameworks are typically programmed in Java. Since the JADE platform has been recently ported to .NET, we used it to create an adaptive multiagent system where the knowledge base of the agents is managed using the CLIPS language, also called from .NET. The multiagent system is applied to create seismic risk scenarios, simulations of emergency situations, in which different parties, modeled as adaptive agents, interact and cooperate.adaptive systems, risk management, seisms.
More general credibility models
summary:This communication gives some extensions of the original Bühlmann model. The paper is devoted to semi-linear credibility, where one examines functions of the random variables representing claim amounts, rather than the claim amounts themselves. The main purpose of semi-linear credibility theory is the estimation of (the net premium for a contract with risk parameter ) by a linear combination of given functions of the observable variables: . So the estimators mainly considered here are linear combinations of several functions of the observable random variables. The approximation to based on prescribed approximating functions leads to the optimal non-homogeneous linearized estimator for the semi-linear credibility model. Also we discuss the case when taking for all to find the optimal function . It should be noted that the approximation to based on a unique optimal approximating function is always better than the one in the semi-linear credibility model based on prescribed approximating functions: . The usefulness of the latter approximation is that it is easy to apply, since it is sufficient to know estimates for the structure parameters appearing in the credibility factors. Therefore we give some unbiased estimators for the structure parameters. For this purpose we embed the contract in a collective of contracts, all providing independent information on the structure distribution. We close this paper by giving the semi-linear hierarchical model used in the applications chapter
STRATEGY MANAGEMENT IN A MULTI-AGENT SYSTEM USING NEURAL NETWORKS FOR INDUCTIVE AND EXPERIENCE-BASED LEARNING
Intelligent agents and multi-agent systems prove to be a promising paradigm for solving problems in a distributed, cooperative way. Neural networks are a classical solution for ensuring the learning ability of agents. In this paper, we analyse a multi-agent system where agents use different training algorithms and different topologies for their neural networks, which they use to solve classification and regression problems provided by a user. Out of the three training algorithms under investigation, Backpropagation, Quickprop and Rprop, the first demonstrates inferior performance to the other two when considered in isolation. However, by optimizing the strategy of accepting or rejecting tasks, Backpropagation agents succeed in outperforming the other types of agents in terms of the total utility gained. This strategy is learned also with a neural network, by processing the results of past experiences. Therefore, we show a way in which agents can use neural network models for both external purposes and internal ones.agents, learning, neural networks, strategy management multi-agent system.
The problem of determining estimators for different structural parameters in the case of credibility results for weighted contracts
summary:This paper presents and analyzes the estimators of the structural parameters, in the Bühlmann-Straub model, involving complicated mathematical properties of conditional expectations and of conditional covariances. So to enable to use the better linear credibility results obtained in this model, we will provide useful estimators for the structure parameters. From the practical point of view it is stated the attractive property of unbiasedness for these estimators
Competition Law and Human Rights:Striking a Balance Between Business Freedom and Regulatory Intervention
Presented at The Limits of Competition Law, Santorini, Greece (jointly organised by UCL Faculty of Laws and IMEDIPA)</p
Accurate method to calculate some periodic integrals occurring in electromagnetic field analysis
Effects of soil structure interaction for a historical monument located in highly seismic area
Analytical solutions to the Grad-Shafranov equation for diverted plasmas
Two families of exact analytical solutions of the Grad-Shafranov equation are presented by specifying the highest polynomial dependence of the plasma current
density on the flux function in such a way that equation becomes a linear inhomogeneous differential equation. Both the pressure profile and the poloidal current profile
have each two free parameters. X-points can be represented by superposition of solutions and an example of the exact equilibrium solution for the ASDEX Upgrade tokamak is given
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