Martin Slapák

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An adaptive control system for computational intelligence agent within a data mining multi-agent system is presented. As opposed to other approaches concerning a fixed control mechanism, the presented approach is based on evolutionary trained decission trees. This leads to control approach created adaptively based on data tasks the agent encounters during(More)
This work describes a method to control a behaviour of intelligent data mining agent. We developed an adaptive decision making system that utilizes genetic programming technique to evolve an agent's decision strategy. The parameters of data mining task and current state of an agent are taken into account by tree structures evolved by genetic programming.(More)
In recent years, new applications as distributed fiber-optic sensing or precise time transfer have been widely studied and developed. Especially, with the growing interest for smart cities sensor networks have been developed intensively. Currently, individual optical fibers are mostly used for individual applications which is very inefficient and(More)
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