The Myth Rajlich Copied Fruit Revision 1.1
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Miller: Texttool-Allrounder Wego: Schicke Wetter-COMMUNITY-EDITIONManjaro i3: Arch-Derivat mit bereitet CSVs optimal auf S. 54 App für die Konsole S. 44 Tiling-Window-Manager S. 48 Frei kopieren und beliebig weiter verteilen ! 03.2016 03.2016 Guter Schnitt für Bild und Ton, eindrucksvolle Effekte, perfektes Mastering VIDEOSCHNITT Videos bearbeiten Im Überblick: Sieben aktuelle VIDEOSCHNITT Werkzeuge für den Videoschnitt unter Linux im Direktvergleich S. 10 • Veracrypt • Wego • Wego • Veracrypt • Pitivi & OpenShot: Einfach wie noch nie – die neue Generation der Videoschnitt-Werkzeuge S. 20 Lightworks: So kitzeln Sie optimale Ergebnisse aus der kostenlosen Free-Version heraus S. 26 Verschlüsselte Daten sicher verstecken S. 64 Glaubhafte Abstreitbarkeit: Wie Sie mit dem Truecrypt-Nachfolger • SQLiteStudio Stellarium Synology RT1900ac Veracrypt wichtige Daten unauffindbar in Hidden Volumes verbergen Stellarium erweitern S. 32 Workshop SQLiteStudio S. 78 Eigene Objekte und Landschaften Die komfortable Datenbankoberfläche ins virtuelle Planetarium einbinden für Alltagsprogramme auf dem Desktop Top-Distris • Anydesk • Miller PyChess • auf zwei Heft-DVDs ANYDESK • MILLER • PYCHESS • STELLARIUM • VERACRYPT • WEGO • • WEGO • VERACRYPT • STELLARIUM • PYCHESS • MILLER • ANYDESK EUR 8,50 EUR 9,35 sfr 17,00 EUR 10,85 EUR 11,05 EUR 11,05 2 DVD-10 03 www.linux-user.de Deutschland Österreich Schweiz Benelux Spanien Italien 4 196067 008502 03 Editorial Old and busted? Jörg Luther Chefredakteur Sehr geehrte Leserinnen und Leser, viele kleinere, innovative Distributionen seit einem Jahrzehnt kommen Desktop- Immer öfter stellen wir uns aber die haben damit erst gar nicht angefangen und Notebook-Systeme nur noch mit Frage, ob es wirklich noch Sinn ergibt, oder sparen es sich schon lange. Open- 64-Bit-CPUs, sodass sich die Zahl der moderne Distributionen überhaupt Suse verzichtet seit Leap 42.1 darauf; das 32-Bit-Systeme in freier Wildbahn lang- noch als 32-Bit-Images beizulegen. -
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. -
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 -
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. -
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. -
Deep Fritz Benchmark Top Ten World Chess E
Módulos (engines) Deep Fritz Benchmarktop ten WorldColossus: chess download www.colossus.demon.co.uk/chess/colossuschessuci.htmengines pagechecksl.com Rybka Diagramas Shredder, Zappa, Chess Tutor, Freezer Juegue Computer chess ChessGenius flash CHESS III Táctica Táctica II Higher Intelligence Auto Response Chess System Aperturas Database Bruno's Chess Problem of The Day Finales Pro Deo ANAND-TOPALOV Books Posiciones kcehC Crafty Pogonina, N Kosteniuk, A Libros Fruit Stockfish Chesslogik Mundial CHESS Test The King XBoard Arena GUI Aquarium ChessBase página deutsche Fritz HIARCS Junior 0df20896bed45d7d33b1e3d899c64bc9875a0ad9 Sjeng3bbe03a3ae144d827a0d6d909232e519 RobboLito 0.085g3 64bits Komodo Naum _____________ Foros, revistas, tiendas y clubes (forums, magazines, shops and chess clubs) Club de Ajedrez Pueblo Nuevo Anand + AMD = V la casa del ajedrez HIARCS TalkChess.com HIARCS network Máquinas dedicadas Daily Chess News and Games. Weekly digest for download COUNTRYWIDE COMPUTERS! Photos Computerschaak Rybka checksl.com Marca Alybadix chess solving programs ICGA Sudoku Alybadix Playchess ICC Freezer Fics Tableros y relojes (boards and clocks) DGT Phoenix Chess Systems Torneos (Tournaments) Kanazawa 2010 Pamplona 2009 Torneos Fritz Benchmark 4.2 Intel Xeon 120-core / AMD Opteron 48-core chessbase.com/products/deepfritz12/index.asp kns/s Hardware Elo Intel i7-980X 3.33GHz 6x (T´s H) 18109 kn/s 2889 Elo 2xIntel Quad QX9775 15103 kn/s 2873 Elo Intel i7-975 (Tom´s Hardware) 12647 kn/s 2857 Elo AMD Phenom II X6 1090T 11219 kn/s 2846 Elo Intel -
Crafty Command Documentation (Version 18) ------Crafty Is Nothing More Than a Long-Time Hobby of Mine, Dating Back to Blitz and Later Cray Blitz
Crafty Command Documentation (version 18) ----------------------------------------------- Crafty is nothing more than a long-time hobby of mine, dating back to Blitz and later Cray Blitz. People ask me howI keep doing this, and that is the one question that generally leaves me at a loss for words. Perhaps the most common question I’m asked is "is this version of Crafty some dumbed-down version of what you play on ICC or what you use at a computer chess event?" The answer is a resounding *NO*. The current version is *exactly* what is running on ICC under this version number.Note that a newversion can, on occasion, introduce weaknesses or outright bugs that were not present in previous "gold" versions. As aresult, you should be careful to back up your "favorite" before trying the latest and greatest. If you aren’tsatisfied with the newver- sion, you can then go back to what you believe isabetter version. If you are looking for the strongest playing computer chess program available, you should likely look to Fritz, Rebel, Tiger,and the other commercial entries. There you will find strong opponents with polished interfaces that have been tested in a systematic and careful way.If you are looking for a program that plays good chess, has a reasonable set of features for you to use, is available in source form, and one where the author welcomes feedback, code or sugges- tions, then you are at the right place. Iwelcome comments and suggestions, and also feedback from ideas you try yourself that seem to work. Crafty is a state-of-the-art computer chess program, and uses all of the search algorithms you have probably read about, negascout search, killer/history move ordering, SEE (Static Exchange Evaluation) quiescence move ordering and pruning, hash (transposition/refutation) tables as well as evaluation caches, selective extensions, recursive null-move search, futility pruning, late move reductions, and a host of other features that have been used and are still being used in most computer chess programs. -
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.