Computers playing games
How Computers playing games can be categorized according to different dimensions?
Expert
Computers playing games:Competing against each other in the form of a game is nothing new. Egyptians and Chinese have archived games which date back to far before the year zero. Games can be categorized according to different dimensions. Three examples are:
(1) the number of players,
(2) whether chance is involved, and
(3) how many information a player has.
With the upcoming of computers human beings were tempted to let the computer play those games. The reason why scientists are interested in research on board games is that the rules of games are mostly exact and well defined which makes it easy to translate them to a program that is suitable for a computer to run (Van den Herik, 1983). The research in board games obtained a huge impulse in 1944 when Von Neumann republished his article about the minimax algorithm (Von Neumann, 1928) together with Morgenstern in the book “Theory of Games and Economic Behavior” (Von Neumann and Morgenstern, 1944). These ideas were picked up by Shannon (1950) and Turing (1953) who tried to let a computer play Chess as intelligently as possible. Since then much research is performed on new methods, on a variety of games (Murray, 1952) and on other problems to make the computer a worthy opponent for the human player (Schaeffer and Van den Herik, 2002). One field in this area of research are the board games which have full information and are played by two persons. Chess is the classical example of this kind of a game and a great deal of effort has been devoted in the past to the construction of a good chess player. The most pregnant success so far in this area was the result when Deep Blue achieved to win against world chess champion Garry Kasparov (Newborn, 1996).
An experiment is conducted in which 60 participants each fill out a personality test, but not according to the way they see themselves. Instead, 20 are randomly assigned to fill it out according to the way they think a parent sees them (i.e. how a parent would fill it out to describe the participant
1. (AAC/ACA c9q1). For each of the following studies, decide whether you can reject the null hypothesis that the groups come from identical populations. Use the alpha = .05 level.1a. Q : Develop the most appropriate regression Predicting Courier Costs The law firm of Adams, Babcock, and Connors is located in the Dallas-Fort metroplex. Randall Adams is the senior and founding partner of the firm. John Babcock has been a partne Q : STATISTICS Question This week you will This week you will analyze if women drink more sodas than men. For the purposes of this Question, assume that in the past there has been no difference. However, you have seen lots of women drinking sodas the past few months. You will perform a hypothesis test to determine if women now drink more Q : State the hypotheses At Western At Western University the historical mean of scholarship examination score for freshman applications is 900. Population standard deviation is assumed to be known as 180. Each year, the assistant dean uses a sample of applications to determine whether the mean ex Q : Probability how can i calculate how can i calculate cumulative probabilities of survival Q : Compute two sample standard deviations Consider the following data for two independent random samples taken from two normal populations. Sample 1 14 26 20 16 14 18 Sample 2 18 16 8 12 16 14 a) Com Q : Building Models Building Models • What Building Models • What do we need to know to build a model?– For model checking we need to specify behavior • Consider a simple vending machine – A custome rinserts coins, selects a beverage and receives a can of soda &bul Q : Average think time Software monitor Software monitor data for an interactive system shows a CPU utilization of 75%, a 3 second CPU service demand, a response time of 15 seconds, and 10 active users. Determine the average think time of these users? Q : MANOVA and Reflection Activity Activity 10: MANOVA and Reflection 4Comparison of Multiple Outcome Variables This activity introduces you to a very common technique - MANOVA. MANOVA is simply an extension of an ANOV
Predicting Courier Costs The law firm of Adams, Babcock, and Connors is located in the Dallas-Fort metroplex. Randall Adams is the senior and founding partner of the firm. John Babcock has been a partne
This week you will analyze if women drink more sodas than men. For the purposes of this Question, assume that in the past there has been no difference. However, you have seen lots of women drinking sodas the past few months. You will perform a hypothesis test to determine if women now drink more
At Western University the historical mean of scholarship examination score for freshman applications is 900. Population standard deviation is assumed to be known as 180. Each year, the assistant dean uses a sample of applications to determine whether the mean ex
how can i calculate cumulative probabilities of survival
Consider the following data for two independent random samples taken from two normal populations. Sample 1 14 26 20 16 14 18 Sample 2 18 16 8 12 16 14 a) Com
Building Models • What do we need to know to build a model?– For model checking we need to specify behavior • Consider a simple vending machine – A custome rinserts coins, selects a beverage and receives a can of soda &bul
Software monitor data for an interactive system shows a CPU utilization of 75%, a 3 second CPU service demand, a response time of 15 seconds, and 10 active users. Determine the average think time of these users?
Activity 10: MANOVA and Reflection 4Comparison of Multiple Outcome Variables This activity introduces you to a very common technique - MANOVA. MANOVA is simply an extension of an ANOV
18,76,764
1948289 Asked
3,689
Active Tutors
1436623
Questions Answered
Start Excelling in your courses, Ask an Expert and get answers for your homework and assignments!!