Adaptivní algoritmy řízení inteligentních agentů

Abstract

The multi-agent systems and agent-based approach to complex and non-trivial practical problems have become more popular in recent years. The traditional methods of agent?s control sometimes fail or are inappropriate. The adaptive methods seem to be a possible solution for these cases. This thesis deals with an exploration of possibilities of design and development of adaptive methods of intelligent software agent?s control. These agents solve problems from data mining domain. The thesis brings an overview of given problem areas, describes experiments, and their results. In conclusions, the topics of author?s future research are proposed.The multi-agent systems and agent-based approach to complex and non-trivial practical problems have become more popular in recent years. The traditional methods of agent?s control sometimes fail or are inappropriate. The adaptive methods seem to be a possible solution for these cases. This thesis deals with an exploration of possibilities of design and development of adaptive methods of intelligent software agent?s control. These agents solve problems from data mining domain. The thesis brings an overview of given problem areas, describes experiments, and their results. In conclusions, the topics of author?s future research are proposed.