- author = "Martin Slapak",
- title = "Adaptive control algorithms of intelligent agents",
- title_ck = "Adaptivni algoritmy rizeni inteligentnich agentu",
- school = "Institute of Computer Science, Academy of Sciences of the Czech Republic",
- year = "2019",
- address = "Czech Republic",
- keywords = "genetic algorithms, genetic programming, Informatika",
-
URL = "
http://hdl.handle.net/10467/81942",
-
URL = "
https://dspace.cvut.cz/bitstream/handle/10467/81942/F8-D-2019-Slapak-Martin-thesis.pdf",
- size = "133 pages",
- 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 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 future research are proposed.",
- abstrakt = "V poslednich letech se dostavaji do popredi zajmu multiagentni systemy a agentni pristup k reseni komplexnich a netrivialnich praktickych problem u. Ne vzdy je mozne ci vhodne takoveto softwarovesystemy ridit tradicnimi a pevne danymi zp usoby rizeni. Sve mistotak dostavaji adaptivni metody. Tato prace si klade za cil prozkoumat moznosti navrhu a vyvoje adaptivnich metod pro rizeni inteligentnich softwarovych agent u resicich ulohy z prostredi data miningu. Prace prinasi prehled problematiky, popisuje uskutecnene experimenty a jejich vysledky. V zaveru jsou navrzena temata dalsihovyzkumu autora",
-
notes = "his thesis is dedicated to all little dragons and to
whoever might find it interesting
Supervisor: Neruda Roman",
