Presentation 1997/12/20
Support of Trial-and-Error Strategy based on Game Theory
Norihito Toyota, Takeo Saegusa,
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Abstract(in English) In this article we propose a method to support the trial-and-error strategy in an individual learning system, It is a general and difficult problem how to determine for a learner to proceed or return on the sequence of items at some step of learning. Moreover it is more difficult problem which item the learner determines to study next time concretely. We treat the dilemma in the trial-and error strategy within the framework of the game theory and solve it in contex of the Stackelberg's solution. The way of dynamic evaluation of the payoff matrix elements is given and it is also programmed on computer. We discuss some results in some concrete instructional material.
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Keyword(in English) dynamic strategy / trial-and error strategy / prediction model / feedback effect / game theory / Stackelberg solution
Paper # ET97-84
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Conference Date 1997/12/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Support of Trial-and-Error Strategy based on Game Theory
Sub Title (in English)
Keyword(1) dynamic strategy
Keyword(2) trial-and error strategy
Keyword(3) prediction model
Keyword(4) feedback effect
Keyword(5) game theory
Keyword(6) Stackelberg solution
1st Author's Name Norihito Toyota
1st Author's Affiliation Software Research Laboratry, Hokkaido Information University()
2nd Author's Name Takeo Saegusa
2nd Author's Affiliation Software Research Laboratry, Hokkaido Information University
Date 1997/12/20
Paper # ET97-84
Volume (vol) vol.97
Number (no) 464
Page pp.pp.-
#Pages 8
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