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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. -
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. -
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. -
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. -
Draft – Not for Circulation
A Gross Miscarriage of Justice in Computer Chess by Dr. Søren Riis Introduction In June 2011 it was widely reported in the global media that the International Computer Games Association (ICGA) had found chess programmer International Master Vasik Rajlich in breach of the ICGA‟s annual World Computer Chess Championship (WCCC) tournament rule related to program originality. In the ICGA‟s accompanying report it was asserted that Rajlich‟s chess program Rybka contained “plagiarized” code from Fruit, a program authored by Fabien Letouzey of France. Some of the headlines reporting the charges and ruling in the media were “Computer Chess Champion Caught Injecting Performance-Enhancing Code”, “Computer Chess Reels from Biggest Sporting Scandal Since Ben Johnson” and “Czech Mate, Mr. Cheat”, accompanied by a photo of Rajlich and his wife at their wedding. In response, Rajlich claimed complete innocence and made it clear that he found the ICGA‟s investigatory process and conclusions to be biased and unprofessional, and the charges baseless and unworthy. He refused to be drawn into a protracted dispute with his accusers or mount a comprehensive defense. This article re-examines the case. With the support of an extensive technical report by Ed Schröder, author of chess program Rebel (World Computer Chess champion in 1991 and 1992) as well as support in the form of unpublished notes from chess programmer Sven Schüle, I argue that the ICGA‟s findings were misleading and its ruling lacked any sense of proportion. The purpose of this paper is to defend the reputation of Vasik Rajlich, whose innovative and influential program Rybka was in the vanguard of a mid-decade paradigm change within the computer chess community. -
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). -
Super Human Chess Engine
SUPER HUMAN CHESS ENGINE FIDE Master / FIDE Trainer Charles Storey PGCE WORLD TOUR Young Masters Training Program SUPER HUMAN CHESS ENGINE Contents Contents .................................................................................................................................................. 1 INTRODUCTION ....................................................................................................................................... 2 Power Principles...................................................................................................................................... 4 Human Opening Book ............................................................................................................................. 5 ‘The Core’ Super Human Chess Engine 2020 ......................................................................................... 6 Acronym Algorthims that make The Storey Human Chess Engine ......................................................... 8 4Ps Prioritise Poorly Placed Pieces ................................................................................................... 10 CCTV Checks / Captures / Threats / Vulnerabilities ...................................................................... 11 CCTV 2.0 Checks / Checkmate Threats / Captures / Threats / Vulnerabilities ............................. 11 DAFiii Attack / Features / Initiative / I for tactics / Ideas (crazy) ................................................. 12 The Fruit Tree analysis process ............................................................................................................ -
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. -
CS 297 Report Improving Chess Program Encoding Schemes
CS 297 Report Improving Chess Program Encoding Schemes Supriya Basani ([email protected]) Advisor: Dr. Chris Pollett Department of Computer Science San Jose State University December 2006 Table of Contents: Introduction......................................................................................................................... 3 Deliverable 1:...................................................................................................................... 4 Chess Game Databases and GNU Chess Program ......................................................... 4 Book.dat generation algorithm: .................................................................................. 5 Database lookup algorithm: ........................................................................................ 6 Deliverable 2:...................................................................................................................... 7 GNU Chess program's PVS Algorithm .......................................................................... 7 PVS algorithm:............................................................................................................ 8 Deliverable 3:.................................................................................................................... 10 Extension to PVS algorithm and Auto play setup ........................................................ 10 1. Extension to PVS algorithm.................................................................................. 10 2. Autoplay Setup................................................................................................. -
Python-Chess Release 1.0.0 Unknown
python-chess Release 1.0.0 unknown Sep 24, 2020 CONTENTS 1 Introduction 3 2 Documentation 5 3 Features 7 4 Installing 11 5 Selected use cases 13 6 Acknowledgements 15 7 License 17 8 Contents 19 8.1 Core................................................... 19 8.2 PGN parsing and writing......................................... 35 8.3 Polyglot opening book reading...................................... 42 8.4 Gaviota endgame tablebase probing................................... 44 8.5 Syzygy endgame tablebase probing................................... 45 8.6 UCI/XBoard engine communication................................... 47 8.7 SVG rendering.............................................. 58 8.8 Variants.................................................. 59 8.9 Changelog for python-chess....................................... 61 9 Indices and tables 93 Index 95 i ii python-chess, Release 1.0.0 CONTENTS 1 python-chess, Release 1.0.0 2 CONTENTS CHAPTER ONE INTRODUCTION python-chess is a pure Python chess library with move generation, move validation and support for common formats. This is the Scholar’s mate in python-chess: >>> import chess >>> board= chess.Board() >>> board.legal_moves <LegalMoveGenerator at ... (Nh3, Nf3, Nc3, Na3, h3, g3, f3, e3, d3, c3, ...)> >>> chess.Move.from_uci("a8a1") in board.legal_moves False >>> board.push_san("e4") Move.from_uci('e2e4') >>> board.push_san("e5") Move.from_uci('e7e5') >>> board.push_san("Qh5") Move.from_uci('d1h5') >>> board.push_san("Nc6") Move.from_uci('b8c6') >>> board.push_san("Bc4") Move.from_uci('f1c4') -
The GNU C Programming Tutorial
Edition 4.1 The GNU C Programming Tutorial Mark Burgess Faculty of Engineering, Oslo College Ron Hale-Evans Copyright c 2002 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; there being no Invariant Section, with the Front-Cover Texts being \A GNU Manual", and with the Back-Cover Texts as in (a) below. A copy of the license is included in the section entitled \GNU Free Documentation License". (a) The FSF's Back-Cover Text is: \You have freedom to copy and modify this GNU Manual, like GNU software. Copies published by the Free Software Foundation raise funds for GNU development." Function pointers i Table of Contents Preface ...................................... xi 1 Introduction............................... 1 1.1 The advantages of C..................................... 1 1.2 Questions for Chapter 1 ................................. 2 2 Using a compiler........................... 3 2.1 Basic ideas about C ..................................... 3 2.2 The compiler ........................................... 4 2.3 File names .............................................. 4 2.4 Errors .................................................. 5 2.4.1 Typographical errors ............................ 6 2.4.2 Type errors .................................... 6 2.5 Questions for Chapter 2 ................................. 6 3 The form of a C program................... 9