On Hagelbarger’s and Shannon’s matching pennies playing machines

Author:

Breazu Macarie1,Volovici Daniel1,Morariu Daniel I.1,Crețulescu Radu G.1

Affiliation:

1. Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering , “Lucian Blaga” University of Sibiu , Romania

Abstract

Abstract In the 1950s, Hagelbarger’s Sequence Extrapolating Robot (SEER) and Shannon’s Mind-Reading Machine (MRM) were the state-of-the-art research results in playing the well-known “matching pennies” game. In our research we perform a software implementation for both machines in order to test the common statement that MRM, even simpler, beats SEER. Also, we propose a simple contextual predictor (SCP) and use it to compete with SEER and MRM. As expected, experimental results proves the claimed MRM superiority over SEER and even the SCP’s superiority over both SEER and MRM. At the end, we draw some conclusions and propose further research ideas, like the use of mixing models methods and the use of Hidden Markov Model for modelling player’s behaviour.

Publisher

Walter de Gruyter GmbH

Reference8 articles.

1. [1] DW Hagelbarger. Seer, A SEquence Extrapolating Robot, IRE Transactions on Electronic Computers, page 1–7, March, 1956.

2. [2] Claude E Shannon. A Mind-Reading(?) Machine, Bell Laboratories Memorandum, March 18, 1953.

3. [3] Matthew V. Mahoney. Adaptive Weighing of Context Models for Lossless Data Compression, Florida Institute of Technology CS Dept. Technical Report CS-2005-16, 2005.

4. [4] Lawrence R. Rabiner, A tutorial on HMM and selected applications in Speech Recognition, Proceedings of the IEEE, vol 77, no. 2, 1989.

5. [5] Arpad Gellert, Adrian Florea. Web prefetching through efficient prediction by partial matching, World Wide Web, volume 19, pages 921–932, 2016.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Heuristic modeling of reflection in reflexive games;Philosophical Problems of IT & Cyberspace (PhilIT&C);2023-12-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3