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scientific master's theses
Optimizacija svojstava usluge primjenom inteligentnih agenata
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. urn:nbn:hr:168:104477
Sablić, Denis
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Cite this document

Sablić, D. (2005). Optimizacija svojstava usluge primjenom inteligentnih agenata (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:104477

Sablić, Denis. "Optimizacija svojstava usluge primjenom inteligentnih agenata." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. https://urn.nsk.hr/urn:nbn:hr:168:104477

Sablić, Denis. "Optimizacija svojstava usluge primjenom inteligentnih agenata." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. https://urn.nsk.hr/urn:nbn:hr:168:104477

Sablić, D. (2005). 'Optimizacija svojstava usluge primjenom inteligentnih agenata', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:104477

Sablić D. Optimizacija svojstava usluge primjenom inteligentnih agenata [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2005 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:104477

D. Sablić, "Optimizacija svojstava usluge primjenom inteligentnih agenata", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2005. Available at: https://urn.nsk.hr/urn:nbn:hr:168:104477

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Metadata
TitleOptimizacija svojstava usluge primjenom inteligentnih agenata
AuthorDenis Sablić
MentorDragan Jevtić (mentor)
Committee memberMarijan Kunštić (predsjednik povjerenstva)
Committee memberDragan Jevtić (član povjerenstva)
Committee memberAntun Carić (član povjerenstva)
Committee memberVjekoslav Sinković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Telecommunications)
Zagreb
Defense date and country2005-06-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Rad obrađuje problematiku uvođenja inteligentnog agenta u općeniti sustav posluživanja, sa zadaćom usmjeravanja poziva, odnosno poslova poslužiteljima. Poseban naglasak stavljen je na istraživanje ponašanja agenta temeljenog na učenju ojačanjem. Konkretno, riječ je o metodi Q-učenja, koja se pokazala posebno pogodnom i interesantnom u sustavima koji zahtijevaju brzu prilagodbu. Razvijeno je nekoliko nadgradnji osnovnog modela agenta, s ciljem poboljšanja performansi u dinamičnoj okolini, kakvu predstavlja sustav posluživanja. Uz središnji model inteligentnog agenta, prikazani su i neki tradicionalni modeli temeljeni na često korištenim algoritmima za usmjeravanje. Na temelju modela sustava posluživanja, razvijen je simulator sustava posluživanja, pomoću kojeg su dobiveni usporedni rezultati ponašanja različitih agenata u identičnoj okolini, s ciljem isticanja prednosti i nedostataka uvođenja dodatne inteligencije u sustav posluživanja, to jest distribuciju poziva odnosno poslova.
Abstract (english)
This paper covers the problem of an intelligent agent in a general purpose service system, acting as a call transfer or job distribution mediator. The focus is on the behaviour of a reinforcement learning based agent. More specifically, the agent relies on Q-learning method, which has proven to be especially interesting and well suited for systems that require fast adaptation. A couple of additions to the basic Q-learning agent model were developed, in order to improve the agent's performance in a dynamic environment, such as service system. Besides the central result of this work – the intelligent agent, some of the more traditional agent models were presented. These models corespond to the well known and widely used call and job distribution algorithms. Based on a model of service system, a simulator was developed to produce results of various agent models behaviour in the identical environment. These results illustrate the advantages and disadvantages which come with the introduction of intelligence in a service system, or more precisely distribution of calls and jobs.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:104477
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-07-02 09:05:39

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