Beyond the 3000 Elo Barrier a Glance Behind the Scenes of the Rybka Chess Engine by HARALD FIETZ
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A New Look at the Tayler by David Kane
A New Look at the Tayler by David kane I: Introduction The Tayler Variation (aka the Tayler Opening) is a line that has been unjustly neglected, in my view. The line is of surprisingly recent vintage though it is often confused with the Inverted Hungarian (or Inverted Hanham Defense), a line which shares the same opening moves: 1. e4 e5 2. Nf3 Nc6 3. Be2: The Inverted Hungarian is an old opening, dating back to the 1860ʼs, at least. Tartakower played it a few times in the 1920ʼs with mixed results, using the continuation, 3...Nf6 4. d3: a rather unenterprising setup for White. In 1981 British player, John Tayler (see biographical note), published an article in the British publication Chess (vol. 46) on a line he had developed stemming from the sharp 4. d4!?. This is a move which apparently no one had thought to play before, and one that transforms the sedate Inverted Hungarian into something else altogether. Technically, it is really the Tayler Variation to the Inverted Hungarian Defense rather than the Tayler Opening, though through usage, the terms are interchangeable for all practical purposes. As has been so often the case when it comes to unorthodox lines, I first heard of this opening via Mike Basman when he published a cassette on it back in the early 80ʼs (still available through audiochess.com). Tayler 2 The line stirred some interest at the time but gradually seems to have been forgotten. The final nail in the coffin was probably some light analysis published by Eric Schiller in Gambit Chess Openings (and elsewhere) where he dismisses the line primarily due to his loss in the game Schiller-Martinovsky, Chicago 1986. -
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. -
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') -
SHOWCASE BC 831 Funding Offers for BC Artists
SHOWCASE BC 831 Funding Offers for BC Artists Funding offers were sent to the following artists on April 17 + April 21, 2020. Artists have until May 15, 2020, to accept the grant. A Million Dollars in Pennies ArkenFire Booty EP Abraham Arkora BOSLEN ACTORS Art d’Ecco Bratboy Adam Bailie Art Napoleon Bre McDaniel Adam Charles Wilson Asha Diaz Brent Joseph Adam Rosenthal Asheida Brevner Adam Winn Ashleigh Adele Ball Bridal Party Adera A-SLAM Bring The Noise Adewolf Astrocolor Britt A.M. Adrian Chalifour Autogramm Brooke Maxwell A-DUB AutoHeart Bruce Coughlan Aggression Aza Nabuko Buckman Coe Aidan Knight Babe Corner Bukola Balogan Air Stranger Balkan Shmalkan Bunnie Alex Cuba bbno$ Bushido World Music Alex Little and The Suspicious Beamer Wigley C.R. Avery Minds Bear Mountain Cabins In The Clouds Alex Maher Bedouin Soundclash Caitlin Goulet Alexander Boynton Jr. Ben Cottrill Cam Blake Alexandria Maillot Ben Dunnill Cam Penner Alien Boys Ben Klick Camaro 67 Alisa Balogh Ben Rogers Capri Everitt Alpas Collective Beth Marie Anderson Caracas the Band Alpha Yaya Diallo Betty and The Kid Cari Burdett Amber Mae Biawanna Carlos Joe Costa Andrea Superstein Big John Bates Noirchestra Carmanah Andrew Judah Big Little Lions Carsen Gray Andrew Phelan Black Mountain Whiskey Carson Hoy Angela Harris Rebellion Caryn Fader Angie Faith Black Wizard Cassandra Maze Anklegod Blackberry Wood Cassidy Waring Annette Ducharme Blessed Cayla Brooke Antoinette Blonde Diamond Chamelion Antonio Larosa Blue J Ché Aimee Dorval Anu Davaasuren Blue Moon Marquee Checkmate -
March 2020 Uschess.Org the United States’ Largest Chess Specialty Retailer
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Distributional Differences Between Human and Computer Play at Chess
Multidisciplinary Workshop on Advances in Preference Handling: Papers from the AAAI-14 Workshop Human and Computer Preferences at Chess Kenneth W. Regan Tamal Biswas Jason Zhou Department of CSE Department of CSE The Nichols School University at Buffalo University at Buffalo Buffalo, NY 14216 USA Amherst, NY 14260 USA Amherst, NY 14260 USA [email protected] [email protected] Abstract In our case the third parties are computer chess programs Distributional analysis of large data-sets of chess games analyzing the position and the played move, and the error played by humans and those played by computers shows the is the difference in analyzed value from its preferred move following differences in preferences and performance: when the two differ. We have run the computer analysis (1) The average error per move scales uniformly higher the to sufficient depth estimated to have strength at least equal more advantage is enjoyed by either side, with the effect to the top human players in our samples, depth significantly much sharper for humans than computers; greater than used in previous studies. We have replicated our (2) For almost any degree of advantage or disadvantage, a main human data set of 726,120 positions from tournaments human player has a significant 2–3% lower scoring expecta- played in 2010–2012 on each of four different programs: tion if it is his/her turn to move, than when the opponent is to Komodo 6, Stockfish DD (or 5), Houdini 4, and Rybka 3. move; the effect is nearly absent for computers. The first three finished 1-2-3 in the most recent Thoresen (3) Humans prefer to drive games into positions with fewer Chess Engine Competition, while Rybka 3 (to version 4.1) reasonable options and earlier resolutions, even when playing was the top program from 2008 to 2011. -
A Survey of Monte Carlo Tree Search Methods
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCH 2012 1 A Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Member, IEEE, Simon Lucas, Senior Member, IEEE, Peter I. Cowling, Member, IEEE, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis and Simon Colton Abstract—Monte Carlo Tree Search (MCTS) is a recently proposed search method that combines the precision of tree search with the generality of random sampling. It has received considerable interest due to its spectacular success in the difficult problem of computer Go, but has also proved beneficial in a range of other domains. This paper is a survey of the literature to date, intended to provide a snapshot of the state of the art after the first five years of MCTS research. We outline the core algorithm’s derivation, impart some structure on the many variations and enhancements that have been proposed, and summarise the results from the key game and non-game domains to which MCTS methods have been applied. A number of open research questions indicate that the field is ripe for future work. Index Terms—Monte Carlo Tree Search (MCTS), Upper Confidence Bounds (UCB), Upper Confidence Bounds for Trees (UCT), Bandit-based methods, Artificial Intelligence (AI), Game search, Computer Go. F 1 INTRODUCTION ONTE Carlo Tree Search (MCTS) is a method for M finding optimal decisions in a given domain by taking random samples in the decision space and build- ing a search tree according to the results. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. -
Ohio Chess Bulletin
Ohio Chess Bulletin Volume 68 September 2015 Number 4 OCA Officers The Ohio Chess Bulletin published by the President: Evan Shelton 8241 Turret Dr., Ohio Chess Association Blacklick OH 43004 (614)-425-6514 Visit the OCA Web Site at http://www.ohiochess.org [email protected] Ohio Chess Association Trustees Vice President: Michael D. Joelson 12200 Fairhill Rd - E293 District Trustee Contact Information Cleveland, OH 44120 1 Cuneyd 5653 Olde Post Rd [email protected] Tolek Syvania OH 43560 (419) 376-7891 Secretary: Grant Neilley [email protected] 2720 Airport Drive Columbus, OH 43219-2219 2 Michael D. 12200 Fairhill Rd - E293 (614)-418-1775 Joelson Cleveland, OH 44120 [email protected] [email protected] Treasurer/Membership Chair: 3 John 2664 Pine Shore Drive Cheryl Stagg Dowling Lima OH 45806 7578 Chancery Dr. [email protected] Dublin, OH 43016 (614) 282-2151 4 Eric 1799 Franklin Ave [email protected] Gittrich Columbus OH. 43205 (614)-843-4300 OCB Editor: Michael L. Steve [email protected] 3380 Brandonbury Way Columbus, OH 43232-6170 5 Joseph E. 7125 Laurelview Circle NE (614) 833-0611 Yun Canton, OH 44721-2851 [email protected] (330) 492-8332 [email protected] Inside this issue... 6 Riley D. 18 W. Fifth Street – Mezzanine Driver Dayton OH 45402 Points of Contact 2 (937) 461-6283 Message from the President 3 [email protected] Editor Note/Correction 4 2014/2015 Ohio Grand Prix 7 Steve 1383 Fairway Dr. Final Standings 4 Charles Grove City OH 43123 MOTCF Addendum 5 (614) 309-9028 -
Move Similarity Analysis in Chess Programs
Move similarity analysis in chess programs D. Dailey, A. Hair, M. Watkins Abstract In June 2011, the International Computer Games Association (ICGA) disqual- ified Vasik Rajlich and his Rybka chess program for plagiarism and breaking their rules on originality in their events from 2006-10. One primary basis for this came from a painstaking code comparison, using the source code of Fruit and the object code of Rybka, which found the selection of evaluation features in the programs to be almost the same, much more than expected by chance. In his brief defense, Rajlich indicated his opinion that move similarity testing was a superior method of detecting misappropriated entries. Later commentary by both Rajlich and his defenders reiterated the same, and indeed the ICGA Rules themselves specify move similarity as an example reason for why the tournament director would have warrant to request a source code examination. We report on data obtained from move-similarity testing. The principal dataset here consists of over 8000 positions and nearly 100 independent engines. We comment on such issues as: the robustness of the methods (upon modifying the experimental conditions), whether strong engines tend to play more similarly than weak ones, and the observed Fruit/Rybka move-similarity data. 1. History and background on derivative programs in computer chess Computer chess has seen a number of derivative programs over the years. One of the first was the incident in the 1989 World Microcomputer Chess Cham- pionship (WMCCC), in which Quickstep was disqualified due to the program being \a copy of the program Mephisto Almeria" in all important areas. -
Dream Jobs 2008 Sigrid Close Studies Shooting Stars with the World’S Biggest Radars Australia’S Transcontinental Solar Car Race Wireless’S Virgin Territory
Contents | Zoom in | Zoom out For navigation instructions please click here Search Issue | Next Page THE MAGAZINE OF TECHNOLOGY INSIDERS 02.08 SPECIAL ISSUE: DREAM JOBS 2008 SIGRID CLOSE STUDIES SHOOTING STARS WITH THE WORLD’S BIGGEST RADARS AUSTRALIA’S TRANSCONTINENTAL SOLAR CAR RACE WIRELESS’S VIRGIN TERRITORY Contents | Zoom in | Zoom out For navigation instructions please click here Search Issue | Next Page A SPECTRUM Previous Page | Contents | Zoom in | Zoom out | Front Cover | Search Issue | Next Page BEF MaGS _______________ A SPECTRUM Previous Page | Contents | Zoom in | Zoom out | Front Cover | Search Issue | Next Page BEF MaGS A SPECTRUM Previous Page | Contents | Zoom in | Zoom out | Front Cover | Search Issue | Next Page BEF MaGS volume 45 number 2 international 02.08 FRONT UPDATE 7 CANCER SCREENING IN A TANGLE A controversial breast-cancer technology is coming to market. By Morgen E. Peck 8 BIG JUMP IN MICRO- PROCESSOR MATH 9 REINVENTING THE WHEEL 10 CAN WIND ENERGY KEEP GROWING? 11 ELECTRONIC GENE THERAPY 12 BRAKE-BY-WIRE FOR FREIGHT TRAINS 14 THE BIG PICTURE Cranial calculations. OPINION 5 SPECTRAL LINES Format wars at the Consumer Electronics Show: one down, more to go. 6 FORUM The (relative) safety of Tasers, the tainting of online gaming, and measuring entropy. 21 TECHNICALLY SPEAKING The snowclone: A higher-order cliché? THE EXTRA SPECIAL REPORT By Paul McFedries MILE: David Downey designs and then fi eld- 23 DREAM JOBS 2008 DEPARTMENTS tests fi tness When your day job is this much fun, can you really call it “work”? 3 CONTRIBUTORS products; Roger Hill builds 4 BACK STORY computers to 40 GADGETS GAB AT 60 GHz track penguins in To juggle gigabits of high-defi nition video, wireless networks 17 CAREERS Antarctica; must move way, way up the spectrum. -
Speech-Language Services in Arizona Schools: Guidelines for Best Practice
Arizona Department of Education Diane M. Douglas, Superintendent of Public Instruction Exceptional Student Services Arizona Technical Assistance System (AZ-TAS) Speech-Language Services in Arizona’s Schools: Guidelines for Best Practice Speech-Language Services in Arizona’s Schools: Guidelines for Best Practices September 2016 Table of Contents Introduction ................................................................................................................................. i Acknowledgements .....................................................................................................................ii Commonly Used Acronyms…………………………………………………………………………………..…….….……..iii Overview of School-Based Speech-Language Pathology...................................................... 1 Role of the School-Based Speech-Language Pathologist/Technician ......................................... 1 Federal and Arizona Definitions of Students with Disabilities.................................................... 1 Speech-Language Pathologists/Speech-Language Technicians ................................................. 4 Speech-Language Pathology Assistants (SLPAs) ......................................................................... 7 Substitutes and Vacancies .......................................................................................................... 9 Supervision and Mentoring ...................................................................................................... 10 Recruiting and Retaining Qualified -
New Architectures in Computer Chess Ii New Architectures in Computer Chess
New Architectures in Computer Chess ii New Architectures in Computer Chess PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit van Tilburg, op gezag van de rector magnificus, prof. dr. Ph. Eijlander, in het openbaar te verdedigen ten overstaan van een door het college voor promoties aangewezen commissie in de aula van de Universiteit op woensdag 17 juni 2009 om 10.15 uur door Fritz Max Heinrich Reul geboren op 30 september 1977 te Hanau, Duitsland Promotor: Prof. dr. H.J.vandenHerik Copromotor: Dr. ir. J.W.H.M. Uiterwijk Promotiecommissie: Prof. dr. A.P.J. van den Bosch Prof. dr. A. de Bruin Prof. dr. H.C. Bunt Prof. dr. A.J. van Zanten Dr. U. Lorenz Dr. A. Plaat Dissertation Series No. 2009-16 The research reported in this thesis has been carried out under the auspices of SIKS, the Dutch Research School for Information and Knowledge Systems. ISBN 9789490122249 Printed by Gildeprint © 2009 Fritz M.H. Reul All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronically, mechanically, photocopying, recording or otherwise, without prior permission of the author. Preface About five years ago I completed my diploma project about computer chess at the University of Applied Sciences in Friedberg, Germany. Immediately after- wards I continued in 2004 with the R&D of my computer-chess engine Loop. In 2005 I started my Ph.D. project ”New Architectures in Computer Chess” at the Maastricht University. In the first year of my R&D I concentrated on the redesign of a computer-chess architecture for 32-bit computer environments.