Online Chess Position Evaluation
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Development of Games for Users with Visual Impairment Czech Technical University in Prague Faculty of Electrical Engineering
Development of games for users with visual impairment Czech Technical University in Prague Faculty of Electrical Engineering Dina Chernova January 2017 Acknowledgement I would first like to thank Bc. Honza Had´aˇcekfor his valuable advice. I am also very grateful to my supervisor Ing. Daniel Nov´ak,Ph.D. and to all participants that were involved in testing of my application for their precious time. I must express my profound gratitude to my loved ones for their support and continuous encouragement throughout my years of study. This accomplishment would not have been possible without them. Thank you. 5 Declaration I declare that I have developed this thesis on my own and that I have stated all the information sources in accordance with the methodological guideline of adhering to ethical principles during the preparation of university theses. In Prague 09.01.2017 Author 6 Abstract This bachelor thesis deals with analysis and implementation of mobile application that allows visually impaired people to play chess on their smart phones. The application con- trol is performed using special gestures and text{to{speech engine as a sound accompanier. For human against computer game mode I have used currently the best game engine called Stockfish. The application is developed under Android mobile platform. Keywords: chess; visually impaired; Android; Bakal´aˇrsk´apr´acese zab´yv´aanal´yzoua implementac´ımobiln´ıaplikace, kter´aumoˇzˇnuje zrakovˇepostiˇzen´ymlidem hr´atˇsachy na sv´emsmartphonu. Ovl´ad´an´ıaplikace se prov´ad´ı pomoc´ıspeci´aln´ıch gest a text{to{speech enginu pro zvukov´edoprov´azen´ı.V reˇzimu ˇclovˇek versus poˇc´ıtaˇcjsem pouˇzilasouˇcasnˇenejlepˇs´ıhern´ıengine Stockfish. -
Game Changer
Matthew Sadler and Natasha Regan Game Changer AlphaZero’s Groundbreaking Chess Strategies and the Promise of AI New In Chess 2019 Contents Explanation of symbols 6 Foreword by Garry Kasparov �������������������������������������������������������������������������������� 7 Introduction by Demis Hassabis 11 Preface 16 Introduction ������������������������������������������������������������������������������������������������������������ 19 Part I AlphaZero’s history . 23 Chapter 1 A quick tour of computer chess competition 24 Chapter 2 ZeroZeroZero ������������������������������������������������������������������������������ 33 Chapter 3 Demis Hassabis, DeepMind and AI 54 Part II Inside the box . 67 Chapter 4 How AlphaZero thinks 68 Chapter 5 AlphaZero’s style – meeting in the middle 87 Part III Themes in AlphaZero’s play . 131 Chapter 6 Introduction to our selected AlphaZero themes 132 Chapter 7 Piece mobility: outposts 137 Chapter 8 Piece mobility: activity 168 Chapter 9 Attacking the king: the march of the rook’s pawn 208 Chapter 10 Attacking the king: colour complexes 235 Chapter 11 Attacking the king: sacrifices for time, space and damage 276 Chapter 12 Attacking the king: opposite-side castling 299 Chapter 13 Attacking the king: defence 321 Part IV AlphaZero’s -
Chess2vec: Learning Vector Representations for Chess
Chess2vec: Learning Vector Representations for Chess Berk Kapicioglu Ramiz Iqbal∗ Tarik Koc OccamzRazor MD Anderson Cancer Center OccamzRazor [email protected] [email protected] [email protected] Louis Nicolas Andre Katharina Sophia Volz OccamzRazor OccamzRazor [email protected] [email protected] Abstract We conduct the first study of its kind to generate and evaluate vector representations for chess pieces. In particular, we uncover the latent structure of chess pieces and moves, as well as predict chess moves from chess positions. We share preliminary results which anticipate our ongoing work on a neural network architecture that learns these embeddings directly from supervised feedback. 1 Introduction In the last couple of years, advances in machine learning have yielded dramatic improvements in tasks as diverse as visual object classification [9], automatic speech recognition [7], machine translation [18], and natural language processing (NLP) [12]. A common thread among all these tasks is, as diverse as they may seem, they all involve processing input data, such as image, audio, and text, that have not traditionally been amenable to feature engineering. Modern machine learning methods that enabled these breakthroughs did so partly because they shifted the burden away from feature engineering, which is difficult for humans and requires domain expertise, towards designing models that automatically infer feature representations that are relevant for downstream tasks [1]. In this paper, we are interested in learning and studying feature representations of chess positions and pieces. Our work is inspired by how learning vector representation of words [12, 13], also known as word embeddings, yielded improvements in tasks such as syntactic parsing [16] and sentiment analysis [17]. -
Solved Openings in Losing Chess
1 Solved Openings in Losing Chess Mark Watkins, School of Mathematics and Statistics, University of Sydney 1. INTRODUCTION Losing Chess is a chess variant where each player tries to lose all one’s pieces. As the naming of “Giveaway” variants has multiple schools of terminology, we state for definiteness that captures are compulsory (a player with multiple captures chooses which to make), a King can be captured like any other piece, Pawns can promote to Kings, and castling is not legal. There are competing rulesets for stalemate: International Rules give the win to the player on move, while FICS (Free Internet Chess Server) Rules gives the win to the player with fewer pieces (and a draw if equal). Gameplay under these rulesets is typically quite similar.1 Unless otherwise stated, we consider the “joint” FICS/International Rules, where a stalemate is a draw unless it is won under both rulesets. There does not seem to be a canonical place for information about Losing Chess. The ICGA webpage [H] has a number of references (notably [Li]) and is a reasonable historical source, though the page is quite old and some of the links are broken. Similarly, there exist a number of piecemeal Internet sites (I found the most useful ones to be [F1], [An], and [La]), but again some of these have not been touched in 5-10 years. Much of the information was either outdated or tangential to our aim of solving openings (in particular responses to 1. e3), We started our work in late 2011. The long-term goal was to weakly solve the game, presumably by showing that 1. -
Lessons Learned: a Security Analysis of the Internet Chess Club
Lessons Learned: A Security Analysis of the Internet Chess Club John Black Martin Cochran Ryan Gardner University of Colorado Department of Computer Science UCB 430 Boulder, CO 80309 USA [email protected], [email protected], [email protected] Abstract between players. Each move a player made was transmit- ted (in the clear) to an ICS server, which would then relay The Internet Chess Club (ICC) is a popular online chess that move to the opponent. The server enforced the rules of server with more than 30,000 members worldwide including chess, recorded the position of the game after each move, various celebrities and the best chess players in the world. adjusted the ratings of the players according to the outcome Although the ICC website assures its users that the security of the game, and so forth. protocol used between client and server provides sufficient Serious chess players use a pair of clocks to enforce security for sensitive information to be transmitted (such as the requirement that players move in a reasonable amount credit card numbers), we show this is not true. In partic- of time: suppose Alice is playing Bob; at the beginning ular we show how a passive adversary can easily read all of a game, each player is allocated some number of min- communications with a trivial amount of computation, and utes. When Alice is thinking, her time ticks down; after how an active adversary can gain virtually unlimited pow- she moves, Bob begins thinking as his time ticks down. If ers over an ICC user. -
(2021), 2814-2819 Research Article Can Chess Ever Be Solved Na
Turkish Journal of Computer and Mathematics Education Vol.12 No.2 (2021), 2814-2819 Research Article Can Chess Ever Be Solved Naveen Kumar1, Bhayaa Sharma2 1,2Department of Mathematics, University Institute of Sciences, Chandigarh University, Gharuan, Mohali, Punjab-140413, India [email protected], [email protected] Article History: Received: 11 January 2021; Accepted: 27 February 2021; Published online: 5 April 2021 Abstract: Data Science and Artificial Intelligence have been all over the world lately,in almost every possible field be it finance,education,entertainment,healthcare,astronomy, astrology, and many more sports is no exception. With so much data, statistics, and analysis available in this particular field, when everything is being recorded it has become easier for team selectors, broadcasters, audience, sponsors, most importantly for players themselves to prepare against various opponents. Even the analysis has improved over the period of time with the evolvement of AI, not only analysis one can even predict the things with the insights available. This is not even restricted to this,nowadays players are trained in such a manner that they are capable of taking the most feasible and rational decisions in any given situation. Chess is one of those sports that depend on calculations, algorithms, analysis, decisions etc. Being said that whenever the analysis is involved, we have always improvised on the techniques. Algorithms are somethingwhich can be solved with the help of various software, does that imply that chess can be fully solved,in simple words does that mean that if both the players play the best moves respectively then the game must end in a draw or does that mean that white wins having the first move advantage. -
Life Cycle Patterns of Cognitive Performance Over the Long
Life cycle patterns of cognitive performance over the long run Anthony Strittmattera,1 , Uwe Sundeb,1,2, and Dainis Zegnersc,1 aCenter for Research in Economics and Statistics (CREST)/Ecole´ nationale de la statistique et de l’administration economique´ Paris (ENSAE), Institut Polytechnique Paris, 91764 Palaiseau Cedex, France; bEconomics Department, Ludwig-Maximilians-Universitat¨ Munchen,¨ 80539 Munchen,¨ Germany; and cRotterdam School of Management, Erasmus University, 3062 PA Rotterdam, The Netherlands Edited by Robert Moffit, John Hopkins University, Baltimore, MD, and accepted by Editorial Board Member Jose A. Scheinkman September 21, 2020 (received for review April 8, 2020) Little is known about how the age pattern in individual perfor- demanding tasks, however, and are limited in terms of compara- mance in cognitively demanding tasks changed over the past bility, technological work environment, labor market institutions, century. The main difficulty for measuring such life cycle per- and demand factors, which all exhibit variation over time and formance patterns and their dynamics over time is related to across skill groups (1, 19). Investigations that account for changes the construction of a reliable measure that is comparable across in skill demand have found evidence for a peak in performance individuals and over time and not affected by changes in technol- potential around ages of 35 to 44 y (20) but are limited to short ogy or other environmental factors. This study presents evidence observation periods that prevent an analysis of the dynamics for the dynamics of life cycle patterns of cognitive performance of the age–performance profile over time and across cohorts. over the past 125 y based on an analysis of data from profes- An additional problem is related to measuring productivity or sional chess tournaments. -
Ada Lovelace Articles S
ADA Volume 36 USER Number 1 March 2015 JOURNAL Contents Page Editorial Policy for Ada User Journal 2 Editorial 3 Quarterly News Digest 4 Conference Calendar 24 Forthcoming Events 32 Bicentennial Ada Lovelace Articles S. Charman-Anderson “Ada Lovelace: Victorian Computing Visionary” 35 Articles from the Advances on Methods Special Session of Ada-Europe 2015 J. Sparre Andersen "Persistent Containers with Ada 2012" 43 F. Sánchez-Ledesma, J. Pastor, D. Alonso and B. Álvarez "A Task-Based Concurrency Scheme for Executing Component-Based Applications" 49 Ada-Europe Associate Members (National Ada Organizations) 56 Ada-Europe Sponsors Inside Back Cover Ada User Journal Volume 36, Number 1, March 2015 2 Editorial Policy for Ada User Journal Publication Original Papers a wider audience. This includes papers Ada User Journal — The Journal for Manuscripts should be submitted in published in North America that are the international Ada Community — is accordance with the submission not easily available in Europe. published by Ada-Europe. It appears guidelines (below). We have a reciprocal approach in four times a year, on the last days of granting permission for other March, June, September and All original technical contributions are submitted to refereeing by at least two publications to reprint papers originally December. Copy date is the last day of published in Ada User Journal. the month of publication. people. Names of referees will be kept confidential, but their comments will Commentaries Aims be relayed to the authors at the discretion of the Editor. We publish commentaries on Ada and Ada User Journal aims to inform software engineering topics. -
Download Source Engine for Pc Free Download Source Engine for Pc Free
download source engine for pc free Download source engine for pc free. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. What can I do to prevent this in the future? If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. Another way to prevent getting this page in the future is to use Privacy Pass. You may need to download version 2.0 now from the Chrome Web Store. Cloudflare Ray ID: 67a0b2f3bed7f14e • Your IP : 188.246.226.140 • Performance & security by Cloudflare. Download source engine for pc free. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. What can I do to prevent this in the future? If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. Another way to prevent getting this page in the future is to use Privacy Pass. You may need to download version 2.0 now from the Chrome Web Store. Cloudflare Ray ID: 67a0b2f3c99315dc • Your IP : 188.246.226.140 • Performance & security by Cloudflare. -
The 17Th Top Chess Engine Championship: TCEC17
The 17th Top Chess Engine Championship: TCEC17 Guy Haworth1 and Nelson Hernandez Reading, UK and Maryland, USA TCEC Season 17 started on January 1st, 2020 with a radically new structure: classic ‘CPU’ engines with ‘Shannon AB’ ancestry and ‘GPU, neural network’ engines had their separate parallel routes to an enlarged Premier Division and the Superfinal. Figs. 1 and 3 and Table 1 provide the logos and details on the field of 40 engines. L1 L2{ QL Fig. 1. The logos for the engines originally in the Qualification League and Leagues 1 and 2. Through the generous sponsorship of ‘noobpwnftw’, TCEC benefitted from a significant platform upgrade. On the CPU side, 4x Intel (2016) Xeon 4xE5-4669v4 processors enabled 176 threads rather than the previous 43 and the Syzygy ‘EGT’ endgame tables were promoted from SSD to 1TB RAM. The previous Windows Server 2012 R2 operating system was replaced by CentOS Linux release 7.7.1908 (Core) as the latter eased the administrators’ tasks and enabled more nodes/sec in the engine- searches. The move to Linux challenged a number of engine authors who we hope will be back in TCEC18. 1 Corresponding author: [email protected] Table 1. The TCEC17 engines (CPW, 2020). Engine Initial CPU proto- Hash # EGTs Authors Final Tier ab Name Version Elo Tier thr. col Kb 01 AS AllieStein v0.5_timefix-n14.0 3936 P ? uci — Syz. Adam Treat and Mark Jordan → P 02 An Andscacs 0.95123 3750 1 176 uci 8,192 — Daniel José Queraltó → 1 03 Ar Arasan 22.0_f928f5c 3728 1 176 uci 16,384 Syz. -
The SSDF Chess Engine Rating List, 2019-02
The SSDF Chess Engine Rating List, 2019-02 Article Accepted Version The SSDF report Sandin, L. and Haworth, G. (2019) The SSDF Chess Engine Rating List, 2019-02. ICGA Journal, 41 (2). 113. ISSN 1389- 6911 doi: https://doi.org/10.3233/ICG-190107 Available at http://centaur.reading.ac.uk/82675/ It is advisable to refer to the publisher’s version if you intend to cite from the work. See Guidance on citing . Published version at: https://doi.org/10.3233/ICG-190085 To link to this article DOI: http://dx.doi.org/10.3233/ICG-190107 Publisher: The International Computer Games Association All outputs in CentAUR are protected by Intellectual Property Rights law, including copyright law. Copyright and IPR is retained by the creators or other copyright holders. Terms and conditions for use of this material are defined in the End User Agreement . www.reading.ac.uk/centaur CentAUR Central Archive at the University of Reading Reading’s research outputs online THE SSDF RATING LIST 2019-02-28 148673 games played by 377 computers Rating + - Games Won Oppo ------ --- --- ----- --- ---- 1 Stockfish 9 x64 1800X 3.6 GHz 3494 32 -30 642 74% 3308 2 Komodo 12.3 x64 1800X 3.6 GHz 3456 30 -28 640 68% 3321 3 Stockfish 9 x64 Q6600 2.4 GHz 3446 50 -48 200 57% 3396 4 Stockfish 8 x64 1800X 3.6 GHz 3432 26 -24 1059 77% 3217 5 Stockfish 8 x64 Q6600 2.4 GHz 3418 38 -35 440 72% 3251 6 Komodo 11.01 x64 1800X 3.6 GHz 3397 23 -22 1134 72% 3229 7 Deep Shredder 13 x64 1800X 3.6 GHz 3360 25 -24 830 66% 3246 8 Booot 6.3.1 x64 1800X 3.6 GHz 3352 29 -29 560 54% 3319 9 Komodo 9.1 -
Project: Chess Engine 1 Introduction 2 Peachess
P. Thiemann, A. Bieniusa, P. Heidegger Winter term 2010/11 Lecture: Concurrency Theory and Practise Project: Chess engine http://proglang.informatik.uni-freiburg.de/teaching/concurrency/2010ws/ Project: Chess engine 1 Introduction From the Wikipedia article on Chess: Chess is a two-player board game played on a chessboard, a square-checkered board with 64 squares arranged in an eight-by-eight grid. Each player begins the game with sixteen pieces: one king, one queen, two rooks, two knights, two bishops, and eight pawns. The object of the game is to checkmate the opponent’s king, whereby the king is under immediate attack (in “check”) and there is no way to remove or defend it from attack on the next move. The game’s present form emerged in Europe during the second half of the 15th century, an evolution of an older Indian game, Shatranj. Theoreticians have developed extensive chess strategies and tactics since the game’s inception. Computers have been used for many years to create chess-playing programs, and their abilities and insights have contributed significantly to modern chess theory. One, Deep Blue, was the first machine to beat a reigning World Chess Champion when it defeated Garry Kasparov in 1997. Do not worry if you are not familiar with the rules of chess! You are not asked to change the methods which calculate the moves, nor the internal representation of boards or moves, nor the scoring of boards. 2 Peachess Peachess is a chess engine written in Java. The implementation consists of several components. 2.1 The chess board The chess board representation stores the actual state of the game.