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COST Action FP1202 Strengthening conservation: a key issue for adaptation of marginal/. Molecular basis of adaptation in marginal. Adaptation; Polymorphism. A large diversity of genome DNAs in a species is the basis for species’ adaptation and for species. Neutral theory of molecular.![]() For example, the site. Allowing a website to create a cookie does not give that or any other site access to the. ![]() Elo rating system - Wikipedia, the free encyclopedia. Arpad Elo, the inventor of the Elo rating system. ![]()
The Elo rating system is a method for calculating the relative skill levels of players in competitor- versus- competitor games such as chess. It is named after its creator Arpad Elo, a Hungarian- born Americanphysics professor. The Elo system was originally invented as an improved chess rating system but is also used as a rating system for multiplayer competition in a number of video games. Two players with equal ratings who play against each other are expected to score an equal number of wins. A player whose rating is 1. A player's Elo rating is represented by a number which increases or decreases depending on the outcome of games between rated players. After every game, the winning player takes points from the losing one. The difference between the ratings of the winner and loser determines the total number of points gained or lost after a game. In a series of games between a high- rated player and a low- rated player, the high- rated player is expected to score more wins. If the high- rated player wins, then only a few rating points will be taken from the low- rated player. However, if the lower rated player scores an upset win, many rating points will be transferred. The lower rated player will also gain a few points from the higher rated player in the event of a draw. This means that this rating system is self- correcting. A player whose rating is too low should, in the long run, do better than the rating system predicts, and thus gain rating points until the rating reflects their true playing strength. History. The Harkness system was reasonably fair, but in some circumstances gave rise to ratings which many observers considered inaccurate. On behalf of the USCF, Elo devised a new system with a more sound statistical basis. Elo's system replaced earlier systems of competitive rewards with a system based on statistical estimation. Rating systems for many sports award points in accordance with subjective evaluations of the 'greatness' of certain achievements. For example, winning an important golf tournament might be worth an arbitrarily chosen five times as many points as winning a lesser tournament. PC Chess Explorer World class chess database, analysis and playing program The World Computer Chess Software Champion Suitable for all players from beginners to the. Website which have all the details about the chess engine of Hiarcs. A software to play chess against a computer. Comparison of top chess players. Arpad Elo was of the opinion that it was futile to. A statistical endeavor, by contrast, uses a model that relates the game results to underlying variables representing the ability of each player. Elo's central assumption was that the chess performance of each player in each game is a normally distributedrandom variable. Although a player might perform significantly better or worse from one game to the next, Elo assumed that the mean value of the performances of any given player changes only slowly over time. Elo thought of a player's true skill as the mean of that player's performance random variable. A further assumption is necessary, because chess performance in the above sense is still not measurable. One cannot look at a sequence of moves and say, . Therefore, if a player wins a game, he is assumed to have performed at a higher level than his opponent for that game. Conversely, if he loses, he is assumed to have performed at a lower level. If the game is a draw, the two players are assumed to have performed at nearly the same level. Elo did not specify exactly how close two performances ought to be to result in a draw as opposed to a win or loss. And while he thought it was likely that each player might have a different standard deviation to his performance, he made a simplifying assumption to the contrary. To simplify computation even further, Elo proposed a straightforward method of estimating the variables in his model (i. One could calculate relatively easily, from tables, how many games a player would be expected to win based on a comparison of his rating to the ratings of his opponents. If a player won more games than expected, his rating would be adjusted upward, while if he won fewer than expected his rating would be adjusted downward. Moreover, that adjustment was to be in linear proportion to the number of wins by which the player had exceeded or fallen short of his expected number. From a modern perspective, Elo's simplifying assumptions are not necessary because computing power is inexpensive and widely available. Moreover, even within the simplified model, more efficient estimation techniques are well known. Several people, most notably Mark Glickman, have proposed using more sophisticated statistical machinery to estimate the same variables. On the other hand, the computational simplicity of the Elo system has proven to be one of its greatest assets. With the aid of a pocket calculator, an informed chess competitor can calculate to within one point what his next officially published rating will be, which helps promote a perception that the ratings are fair. Implementing Elo's scheme. Elo's system was adopted by the World Chess Federation (FIDE) in 1. Elo described his work in some detail in the book The Rating of Chessplayers, Past and Present, published in 1. Subsequent statistical tests have suggested that chess performance is almost certainly not distributed as a normal distribution, as weaker players have greater winning chances than Elo's model predicts. Significant statistical anomalies have also been found when using the logistic distribution in chess. The table is calculated with expectation 0, and standard deviation 2. The normal and logistic distribution points are, in a way, arbitrary points in a spectrum of distributions which would work well. In practice, both of these distributions work very well for a number of different games. Different ratings systems. However, this usage is confusing and misleading, because Elo's general ideas have been adopted by many organizations, including the USCF (before FIDE), the Internet Chess Club (ICC), Free Internet Chess Server (FICS), Yahoo! Games, and the now- defunct Professional Chess Association (PCA). Each organization has a unique implementation, and none of them follows Elo's original suggestions precisely. It would be more accurate to refer to all of the above ratings as Elo ratings, and none of them as the Elo rating. Instead one may refer to the organization granting the rating, e. For example, someone with a FIDE rating of 2. USCF rating near 2. ICC rating in the range of 2. On FICS, the command . Since July 2. 01. FIDE issues a ratings list once every month. The following analysis of the July 2. FIDE rating list gives a rough impression of what a given FIDE rating means: 5. Candidate Master title. FIDE Master title. International Master or the International Grandmaster title. International Grandmaster title. International Grandmaster title. Magnus Carlsen May 2. Garry Kasparov July 1. Fabiano Caruana Oct. Levon Aronian Mar. Viswanathan Anand Mar. Veselin Topalov July 2. Hikaru Nakamura July 2. Vladimir Kramnik May 2. Alexander Grischuk Dec. November 2. 01. 1 marked the first time five players had a rating of 2. The highest ever FIDE rating was 2. Magnus Carlsen had on the May 2. A list of the highest- rated players ever is at Comparison of top chess players throughout history. Performance rating. Some chess organizations use the . According to this algorithm, performance rating for an event is calculated in the following way: For each win, add your opponent's rating plus 4. ![]() For each loss, add your opponent's rating minus 4. And divide this sum by the number of played games. Example: 2 Wins, 2 Losses(w+4. Note that, in case of a perfect or no score dp. The full table can be found in the FIDE handbook, B. Permanent Commissions 1. Requirements for the titles designated in 0. Fritz 15 - Chess Playing Software Program. Fritz 15 gives you an ELO rating for all three phases. A simplified version of this table is on the right. FIDE tournament categories. Each category is 2. Category 1 is for an average rating of 2. For women's tournaments, the categories are 2. Category 1 is an average rating of 2. The top categories are in the table. ![]() Live ratings. In contrast, the unofficial . These Live ratings are based on the previously published FIDE ratings, so a player's Live rating is intended to correspond to what the FIDE rating would be if FIDE were to issue a new list that day. Although Live ratings are unofficial, interest arose in Live ratings in August/September 2. Another website www. May 2. 01. 1 by Artiom Tsepotan, which covers the top 1. Currently, the No. FIDE rating list and the live rating list is taken by Magnus Carlsen. United States Chess Federation ratings. Thus, no member can have a rating below 1. USCF sanctioned events. However, players can have higher individual absolute rating floors, calculated using the following formula: AF=min. Such higher rating floors exist, starting at ratings of 1. A player's rating floor is calculated by taking their peak established rating, subtracting 2. For example, a player who has reached a peak rating of 1. Under this scheme, only Class C players and above are capable of having a higher rating floor than their absolute player rating. All other players would have a floor of at most 1. There are two ways to achieve higher rating floors other than under the standard scheme presented above. If a player has achieved the rating of Original Life Master, their rating floor is set at 2. The achievement of this title is unique in that no other recognized USCF title will result in a new floor. For players with ratings below 2. For example, if a player won $4,0. Ratings of computers. However, ratings of computers are difficult to quantify. There have been too few games under tournament conditions to give computers or software engines an accurate rating. Rating System Theory). Players' rating depend on the ratings of their opponents, and the results scored against them. The difference in rating between two players determines an estimate for the expected score between them. Both the average and the spread of ratings can be arbitrarily chosen. Elo suggested scaling ratings so that a difference of 2. USCF initially aimed for an average club player to have a rating of 1. A player's expected score is his probability of winning plus half his probability of drawing. Modern methods for training a chess player. Modern methods for training a chess player. April 2. 00. 6Irina Mikhailova, GM, trainer, T. V. Petrosian Chess Club (Moscow)The formula of succeess: ELO 2. International Master! According to the patriarch of Soviet chess, Mikhail Botvinnik, four basic principles that form a chess player’s strength are chess talent, a strong character, health and special preparation. However, in recent times some new methods for training chess players has emerged. These are identified by the extensive use of personal computers and chess software. Pitifully, exploiting software and other computer resources for the purposes of chess training is rarely explained. Some brilliant results have been achieved in a children’s chess club named after T. Petrosian in Moscow where I recently worked for six years implementing computers in training. I would like to share some examples and considerations from this training. The special preparation of young chess players is being modified nowadays due to additional opportunities that could not be realized previously due to technological restrictions. First, an exceptionally powerful tool has appeared in the chess players’ toolkit, the personal computer. It accomplishes many functions such as collecting, systematizing and storing various chess data (games, fragments, positions for analysis), as well as tactical analysis of selected positions of a highest quality. Second, the intensity of the exercises in the training and control tests that require solving has been increased. Third, the method of presenting training material is also broadened; its structural organization has been deepened in level of complicity and thematic orientation. Due to my experience I have come to the conclusion that acquiring an IM norm can be a realistic task for many pupils even in their school years. Computers are a most a creative tool and can drastically increase the intensity of the training process. However, working with a computer is not as simple a task as it might first appear. Therefor the active role and responsibility of a trainer now includes implementing the new study course, since it is the trainer who plans and organizes all the stages of the training process. Obviously, chess software is the most important component. Happily, the club enjoys a long- standing business relationship with one of the world’s best chess software manufacturers - Convekta Ltd. The training process in a club involves taking into account the individual learning requirements of each pupil. Usually only 3 - 4 players study in a class simultaneously. Now I will dwell in detail on a training plan designed for young chess players who wish to attain an IM norm. When starting a battle for this high title a chess player must realize that this road is long and thorny. From the very start the stages must be well defined and set, as well as the means of achieving the final and the intermediate aims. Only the correct definition of all the aims and tasks will allow successful progress over the various stages. Training and trials, . The aim at this stage is to acquire a playing skill of approximately 2. ELO. At this stage a chess player must have a successfully tested opening repertoire which includes 2 openings as White and 2 openings with the black pieces. The chess player must master tactics (6. How a position’s evaluation is developed and what are its components, familiarize with about 1. It is necessary to acquire the skills of working with a computer and with chess software. The training process is organized in accordance with school workload and physical condition of the pupils, each one has an individual schedule. A series of competitions and training games is designed to facilitate better assimilation of what has been learnt. After having achieved their “base line”, the players start a 2- year training course aimed at them achieving an IM title. It is at this point that a clear record is set up regarding any relevant characteristics of each chess player. In order to improve the quality of the training process, a plan is drawn up which in our practice looks like this: A trainer, together with pupil develops an individual diary for the training schedule. Here the immediate and long term aims are set. Using the pupil’s diary, I develop a flexible schedule of individual training sessions and consultations. The unique chess software from Convekta Ltd offers an exciting range of activity for the players as well as being able to reveal each pupil’s creative potential. Since skilled chess players encounter various problems in all phases of the chess game - opening, middlegame and endgame, the program includes three parts: the preparative stage - acquiring the necessary skills and techniques to independently work with the database search system of Chess Assistant; learning and mastering certain parts of chess theory (chess tactics and combinations, vitally important methods of play in the endings using examples from creative studies, theory and practice of playing particular openings). Here studying the corresponding sections of chess theory based on the creative experience of particular players (A. Tal and others) is also included. All of this can be done by using the appropriate chess programs; training with playing programs aimed at mastering the acquired knowledge. During my Higher Coaches school course I developed a training system with the aid of the chess software from Convekta Ltd. It turned out to be especially efficient for the players who failed to demonstrate their abilities and potential in a proper performance in competitions due to various reasons. This system was tested for the first time on Vladimir Yevelev (born 1. I became acquainted with him in the beginning of 1. He had an ELO rating of 2. I commented to him during our first meeting that he had much greater potential. The first step was for Vladimir himself to compile a dossier on himself, this was to include a history of his chess experiences and his own comments. Next a working program was developed where the immediate, short term & long term aims and tasks were defined. The most important short- term goal was to achieve a performance level that made it possible to fulfill the FIDE requirements for the IM title in competitions. To this aim, we designed the schedule and its content and also arranged participation in various competitions, the work began. Vladimir recollected later: “Luckily, I had only one option then - to trust this guy’s experience and to use his methods. I never thought about these questions before. Partially, the training process included participation in some active chess tournaments with the time controls of 1. It was easy to work with Vladimir - there was less chess software about then, but what we had was simple to use and perfect in its quality. Weekly plan of individual studies in a computer class 1. It is best when planning individual sessions to take into account the individual style of the player, his/her tournament performance and perspective tasks. We put the chess software to use by doing the following with it: solving combinations; solving studies (endgame- like positions with tactical content); solving strategic tests; studying typical middlegame positions; studying typical schemes of attack against the advarsary’s king; studying typical methods of play in opening; elaborating on an opening repertoire and developing plans for the transposition into the middlegame. The complexity of the tasks are arranged by strength and increase from 1. GM level). When starting this work back in 1. Subsequent tasks were formulated for Vladimir during the various stages of the training process over the next 2. Short- term tasks - obtain the FIDE master title and achieve an ELO rating of 2. One training year (0. The list of training sessions and tournaments scheduled is given below (table 2). Internediate tasks - achieving an ELO rating of 2. IM title. Schedule of V. Yevelev’s training (1. January February March April May June 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3* 3 4 4 4 4 4 4 5 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7*8 8 8 8 8 8 9 9 9 9 9 9 1. July August September October November December 1 1 1 1 1 1 2 2*2 2 2 2 3 3 3 3 3 3 4 4 4 4*4 4 5*5 5 5 5 5 6 6 6 6 6 6*7 7 7 7 7 7 8 8 8 8 8 8 9 9*9 9 9 9 1. Legend Tournament games; time control 2 hours per game and more Active chess tournaments, 1. Central chess club - Wednesday Tournaments, 5 minutes per game, Chess Club - Friday, Saturday*Active chess tournaments, 1. Central chess club - Sunday Working with Convekta Ltd programs together with coach and at home. Then, following his father’s advice, Vladimir Yevelev finally read an exciting book by A. He was astonished by the fact that the classicist’s ideas are perfectly embodied in the chess programs Strategy 3. Chess Middlegame Collection by Convekta Ltd. He succeeded in exploiting these ideas when he fulfilled his final IM norm. V. Yevelev’s long- term goal was to achieve all the IM norms and obtain an ELO rating of 2. The dynamics of his changing ELO rating during two and half years was as following: 2. The diagram below of V. Yevelev’s rating displays (fig. In the period from June 1. January 2. 00. 0, the plateau in his ELO graph is explained by a temporal abstainance from tournaments; here he concentrated his efforts mainly on analytical work and on the training process. Similiar tasks were put to Arthur Gabrielian (born 1. IM). Taking into account his age, personal characteristics and features of temperament, we may say that the speed of his growth and the intensity of his studies were somewhat raised. During two years of training with chess software Arthur’s rating shot up to 2. Training become more interesting for the chess players who entered the club later, it also became more sophisticated as Convekta Ltd started flooding the market with new software. 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