NDLI: Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge

Content Provider	IEEE Xplore Digital Library
Author	Mandziuk, J. Mossakowski, K.
Copyright Year	2007
Description	Author affiliation: Fac. of Math. & Inf. Sci., Warsaw Univ. of Technol. (Mandziuk, J.; Mossakowski, K.)
Abstract	The paper presents results of experiments of estimating the number of tricks to be taken by one pair of bridge players in so-called Double Dummy Bridge Problem, using artificial neural networks. In addition to deals presented to neural network's inputs, also some human methods of estimating strength of a hand were applied. Influence of human knowledge on neural network's results depends on the way of coding a deal. One of deal representations tested in the paper definitely outperformed all the other choices even when the remaining representations were additionally supported by human knowledge implemented by several estimators frequently used in professional play. This superior representation output a perfect answer in 53.11% of test deals and only in 3.52% of them was mistaken by more than one trick
Starting Page	413
Ending Page	420
File Size	480238
Page Count	8
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bridges Information science Neural networks Humans Artificial neural networks Mathematics Data mining Computational intelligence Contracts Testing
Content Type	Text
Resource Type	Article

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