--%>

Computers playing games

How Computers playing games can be categorized according to different dimensions?

E

Expert

Verified

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).

   Related Questions in Basic Statistics

  • Q : Define Service Demand Law

    Service Demand Law:• Dk = SKVK, Average time spent by a typical request obtaining service from resource k• DK = (ρk/X

  • 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 : Report on Simple Random Sampling with

    One of my friend has a problem on simple random sampling. Can someone provide a complete Report on Simple Random Sampling with or without replacement?

  • Q : Point of estimate standing data se to

    standing data se to develop a point of estimate

  • Q : Sample z test and Sample t test A

    A random sample X1, X2, …, Xn is from a normal population with mean µ and variance σ2. If σ is unknown, give a 95% confidence interval of the population mean, and interpret it. Discuss the major diff

  • Q : Explain Service times Service times: A)

    Service times:A) In most cases, servicing a request takes a “short” time, but in a few occasions requests take much longer.B) The probability of completing a service request by time t, is independent of how much tim

  • Q : Hypothesis homework A sample of 9 days

    A sample of 9 days over the past six months showed that a clinic treated the following numbers of patients: 24, 26, 21, 17, 16, 23, 27, 18, and 25. If the number of patients seen per day is normally distributed, would an analysis of these sample data provide evidence that the variance in the numbe

  • Q : What is Interactive Response Time Law

    Interactive Response Time Law: • R = (L/X) - Z• Applies to closed systems.• Z is the think time. The time elapsed since&nb

  • Q : Spss in Business and Management Please

    Please tell me the cost of this current assignment. Note : I do not want the Solutions but please tell me the price as the assignment is .. Is the cost 3 euro? Do you sell those questions?

  • Q : Write out the null hypothesis 1.

    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.

    ©TutorsGlobe All rights reserved 2022-2023.