Učenje strategije interaktivnega učenja z genetskim algoritmom

Povzetek

Ključne besede

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Jezik:	Slovenski jezik
Leto izida:	2014
Tipologija:	2.11 - Diplomsko delo
Organizacija:	UL FRI - Fakulteta za računalništvo in informatiko
Založnik:	[J. Hanzel]
UDK:	004.85(043.2)
COBISS:	1536177603
Št. ogledov:	88
Št. prenosov:	11
Ocena:	0 (0 glasov)
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Sekundarni jezik:	Angleški jezik
Sekundarni naslov:	Learning interactive learning strategy with genetic algorithm
Sekundarni povzetek:	The main goal of this thesis was to develop an algoritem for learning the best strategy in the case of interactive learning between a human and a robot. We presented the definition and formalization of a learning strategy. A learning strategy specifies the behaviour of a student and a teacher in a interactive learning process. We also presented a genetic algorithm to resolve our optimisation problem. We tryed to inpruve vectors which are used to present learning strategies. The vectors were evaluated, crossed and mutated each iteration. For evaluation of the vectors we used recognition score which measures how successful was the algorithm at recognizing a specific concept after learning it by using a specific strategy. We also used tutoring cost to measure the tutor involvment in the learning process. The results show that the quality of the strategies increases each iteration. We notice the inprovement as an increase in the recognition score and decrease of tutoring cost.
Sekundarne ključne besede:	interactive learning;learning strategies;genetic algorithm;computer science;diploma;
Vrsta datoteke:	application/pdf
Vrsta dela (COBISS):	Diplomsko delo
Komentar na gradivo:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani:	56 str.
ID:	24260477