Statistical Analysis on Result Prediction in Chess
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The 12Th Top Chess Engine Championship
TCEC12: the 12th Top Chess Engine Championship Article Accepted Version Haworth, G. and Hernandez, N. (2019) TCEC12: the 12th Top Chess Engine Championship. ICGA Journal, 41 (1). pp. 24-30. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190090 Available at http://centaur.reading.ac.uk/76985/ It is advisable to refer to the publisher’s version if you intend to cite from the work. See Guidance on citing . To link to this article DOI: http://dx.doi.org/10.3233/ICG-190090 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 TCEC12: the 12th Top Chess Engine Championship Guy Haworth and Nelson Hernandez1 Reading, UK and Maryland, USA After the successes of TCEC Season 11 (Haworth and Hernandez, 2018a; TCEC, 2018), the Top Chess Engine Championship moved straight on to Season 12, starting April 18th 2018 with the same divisional structure if somewhat evolved. Five divisions, each of eight engines, played two or more ‘DRR’ double round robin phases each, with promotions and relegations following. Classic tempi gradually lengthened and the Premier division’s top two engines played a 100-game match to determine the Grand Champion. The strategy for the selection of mandated openings was finessed from division to division. -
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. -
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. -
Chess Engine Using Deep Reinforcement Learning Kamil Klosowski
Chess Engine Using Deep Reinforcement Learning Kamil Klosowski 916847 May 2019 Abstract Reinforcement learning is one of the most rapidly developing areas of Artificial Intelligence. The goal of this project is to analyse, implement and try to improve on AlphaZero architecture presented by Google DeepMind team. To achieve this I explore different architectures and methods of training neural networks as well as techniques used for development of chess engines. Project Dissertation submitted to Swansea University in Partial Fulfilment for the Degree of Bachelor of Science Department of Computer Science Swansea University Declaration This work has not previously been accepted in substance for any degree and is not being currently submitted for any degree. May 13, 2019 Signed: Statement 1 This dissertation is being submitted in partial fulfilment of the requirements for the degree of a BSc in Computer Science. May 13, 2019 Signed: Statement 2 This dissertation is the result of my own independent work/investigation, except where otherwise stated. Other sources are specifically acknowledged by clear cross referencing to author, work, and pages using the bibliography/references. I understand that fail- ure to do this amounts to plagiarism and will be considered grounds for failure of this dissertation and the degree examination as a whole. May 13, 2019 Signed: Statement 3 I hereby give consent for my dissertation to be available for photocopying and for inter- library loan, and for the title and summary to be made available to outside organisations. May 13, 2019 Signed: 1 Acknowledgment I would like to express my sincere gratitude to Dr Benjamin Mora for supervising this project and his respect and understanding of my preference for largely unsupervised work. -
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. -
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. -
Elo World, a Framework for Benchmarking Weak Chess Engines
Elo World, a framework for with a rating of 2000). If the true outcome (of e.g. a benchmarking weak chess tournament) doesn’t match the expected outcome, then both player’s scores are adjusted towards values engines that would have produced the expected result. Over time, scores thus become a more accurate reflection DR. TOM MURPHY VII PH.D. of players’ skill, while also allowing for players to change skill level. This system is carefully described CCS Concepts: • Evaluation methodologies → Tour- elsewhere, so we can just leave it at that. naments; • Chess → Being bad at it; The players need not be human, and in fact this can facilitate running many games and thereby getting Additional Key Words and Phrases: pawn, horse, bishop, arbitrarily accurate ratings. castle, queen, king The problem this paper addresses is that basically ACH Reference Format: all chess tournaments (whether with humans or com- Dr. Tom Murphy VII Ph.D.. 2019. Elo World, a framework puters or both) are between players who know how for benchmarking weak chess engines. 1, 1 (March 2019), to play chess, are interested in winning their games, 13 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn and have some reasonable level of skill. This makes 1 INTRODUCTION it hard to give a rating to weak players: They just lose every single game and so tend towards a rating Fiddly bits aside, it is a solved problem to maintain of −∞.1 Even if other comparatively weak players a numeric skill rating of players for some game (for existed to participate in the tournament and occasion- example chess, but also sports, e-sports, probably ally lose to the player under study, it may still be dif- also z-sports if that’s a thing). -
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 -
PGN/AN Verification for Legal Chess Gameplay
PGN/AN Verification for Legal Chess Gameplay Neil Shah Guru Prashanth [email protected] [email protected] May 10, 2015 Abstract Chess has been widely regarded as one of the world's most popular games through the past several centuries. One of the modern ways in which chess games are recorded for analysis is through the PGN/AN (Portable Game Notation/Algebraic Notation) standard, which enforces a strict set of rules for denoting moves made by each player. In this work, we examine the use of PGN/AN to record and describe moves with the intent of building a system to verify PGN/AN in order to check for validity and legality of chess games. To do so, we formally outline the abstract syntax of PGN/AN movetext and subsequently define denotational state-transition and associated termination semantics of this notation. 1 Introduction Chess is a two-player strategy board game which is played on an eight-by-eight checkered board with 64 squares. There are two players (playing with white and black pieces, respectively), which move in alternating fashion. Each player starts the game with a total of 16 pieces: one king, one queen, two rooks, two knights, two bishops and eight pawns. Each of the pieces moves in a different fashion. The game ends when one player checkmates the opponents' king by placing it under threat of capture, with no defensive moves left playable by the losing player. Games can also end with a player's resignation or mutual stalemate/draw. We examine the particulars of piece movements later in this paper.