Agent optimization by means of genetic programming
| Thesis title in Czech: | Agent optimization by means of genetic programming |
|---|---|
| Thesis title in English: | Agent optimization by means of genetic programming |
| Key words: | metaučení, genetické programování, multi-agentní systémy |
| English key words: | metalearning, genetic programming, multi-agent systems |
| Academic year of topic announcement: | 2011/2012 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | Mgr. Roman Neruda, CSc. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 01.12.2011 |
| Date of assignment: | 06.12.2011 |
| Confirmed by Study dept. on: | 15.12.2011 |
| Date and time of defence: | 03.09.2012 10:30 |
| Date of electronic submission: | 31.07.2012 |
| Date of submission of printed version: | 03.08.2012 |
| Date of proceeded defence: | 03.09.2012 |
| Opponents: | Mgr. Ondřej Kazík, Ph.D. |
| Guidelines |
| The goal of the work is to propose an intelligent agent architecture for assigning tasks within a computational intelligence multi-agent system. The core of the architecture is based on genetic programming methodology. The agent should consider the current computational state and previous experience of other agents in the system. The proposal should be implemented in the Jade-based multi-agent system, and tested on various problems in the data mining domain. |
| References |
| [1] R. Poli, W. Langdon, N. McPhee: A Field Guide to Genetic Programming, 2008.
[2] M. Wooldridge: Introduction to Multi-agent systems,John Willey and sons, 2009. [3] K. Pešková: Ontological description of intelligent agents. Diplomová práce, MFF UK Praha, 2010. |