Florin Leon

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An important issue in many multiagent systems is the way in which agents can be coordinated in order to perform different roles. This paper proposes a method by which the agents can self-organize based on the changes of their individual utilities. We assume that the tasks given to the agents have a number of attributes and complexity levels, and that the(More)
In this paper, three methods for developing the optimal topology of feed-forward artificial neural networks are described and applied for modeling a complex polymerization process. In the free radical polymerization of styrene, accompanied by gel and glass effects, the monomer conversion and molecular masses are modeled depending on reaction conditions. The(More)
—Data Mining is the process of extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from data in large databases. Agents are defined as software or hardware entities that perform some set of tasks on behalf of users with some degree of autonomy. In order to work for somebody as an assistant, an(More)
A geographical information system (GIS) is a framework capable to assemble, keep, process and display specific information, identified by geographical location, which can combines layers of information to give the user a better understanding about that location. Intelligent agents prove to be a useful tool for data mining in geographical distributed(More)
In this paper, we discuss the main issues concerning e-learning and its advantages over traditional instruction. We present a few possible implementation approaches and insist on the use of intelligent agents for e-learning. We propose a framework of intelligent agents with BDI architecture that can search server knowledge bases in order to investigate the(More)
The optimal control policies for a polymerization process, particularly for the batch free radical polymerization of methyl methacrylate, have been determined using a multiobjective optimization technique. The process objectives considered in the optimization include monomer conversion, polydispersity index, polymerization degree and total reaction time,(More)
This paper aims at designing some data mining methods of evaluating the seismic vulnerability of regions in the built infrastructure. A supervised clustering methodology is employed, based on k-nearest neighbor graphs. Unlike other classification algorithms, the method has the advantage of taking into account any distribution of training instances and also(More)