LEARNING TO PLAY THE GUESSING GAME

被引：0

作者：

Marian, Zsuzsanna ^{[1
]}

Coman, Cosmin ^{[1
]}

Bartha, Attila ^{[1
]}

机构：

[1] Univ Babes Bolyai, Dept Comp Sci, 1 KOGXLNICEANU ST, Cluj Napoca 400084, Romania

来源：

KEPT 2011: KNOWLEDGE ENGINEERING PRINCIPLES AND TECHNIQUES | 2011年

关键词：

Guessing game; Learning in games; Experimental game theory;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present two models from literature (Nagel's Quantitative model and Stahl's Boundedly Rational Rule Learning model) that describe people's behaviour when playing the guessing game. Although these models were defined based on experimental data, when they are implemented and their result compared to experimental data, the results are not good. We define a new model, called Refined Boundedly Rational Rule Learning, based on an existing one, and show that its results are closer to experimental data than the results of the other two.

引用

页码：211 / 222

页数：12