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References

1
D F Beal (editor), Advances in Computer Chess, Edinburgh University Press, Edinburgh, Scotland, (1977-).

2
H Kuhn and A W Tucker (editors), Contributions to the Theory of Games, vol.1, Princeton University Press, (1950).

3
H Kuhn and A W Tucker (editors), Contributions to the Theory of Games, vol.2, Princeton University Press, (1953).

4
H Kuhn and A W Tucker (editors), Contributions to the Theory of Games, vol.3, Princeton University Press, (1957).

5
D N L Levy (editor), Computer Games, vol.1, Springer-Verlag, New York, (1988).

6
D N L Levy (editor), Computer Games, vol.2, Springer-Verlag, New York, (1988).

7
D N L Levy and D F Beal (editors), Heuristic Programming in Artificial Intelligence - The First Computer Olympiad, Ellis Horwood Limited, Chichester, England, (1989).

8
D N L Levy and D F Beal (editors), Heuristic Programming in Artificial Intelligence 2 - The Second Computer Olympiad, Ellis Horwood Limited, Chichester, England, (1990).

9
H J van den Herik and L V Allis (editors), Heuristic Programming in Artificial Intelligence 3 - The Third Computer Olympiad, Ellis Horwood Limited, Chichester, England, (1992).

10
H J van den Herik (editor-in-chief), International Computer Chess Association (ICCA) Journal, University of Limburg, Delft, Netherlands, (1983-).

11
T A Marsland and J Schaeffer (editors), Computers, Chess, and Cognition, Springer-Verlag, New York, (1990).

12
R Levinson and S Epstein (editors) Proceedings of the AAAI Fall Symposium on Games: Planning and Learning, AAAI Press Technical Report FS93-02, Menlo Park CA, (1993), 59-67.

13
J D Allen, A Note on the Computer Solution of Connect-Four, Heuristic Programming in Artificial Intelligence 1, [7], (1989), 134-135.

14
L V Allis, A Knowledge-based Approach of Connect-Four. The game is solved: White wins, M.Sc. Thesis, Free University, Amsterdam, The Netherlands, (1988).

15
L V Allis, M van der Meulen, and H J van den Herik, Databases in Awari, Heuristic Programming in Artificial Intelligence 2, [8] (1990), 73-86.

16
L V Allis and P N A Schoo, Qubic Solved Again, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 192-204.

17
L V Allis, H J van den Herik, and M P H Huntjens Go-Moku Solved by New Search Techniques, Proceedings of the 1993 AAAI Fall Symposium on Games: Planning and Learning, AAAI Press Technical Report FS93-02, Menlo Park CA, (1993).

18
L V Allis, Searching for Solutions in Games and Artificial Intelligence, PhD thesis, Vrije Universteit, Amsterdam, Netherlands, (1994).

19
L V Allis, M van der Menlen, and H J van den Herik Proof-Number Search, Artificial Intelligence 66, no.1, (1994), 91-124.

20
N C Ankeny, Poker Strategy: Winning with Game Theory, Basic Books, Inc., New York, (1981).

21
D B Benson, Life in the Game of Go, Information Sciences 10, no.1, (1976), 17-29. (Reprinted [6], pp 203-213).

22
E R Berlekamp, Programs for Double-Dummy Bridge Problems - A New Strategy for Mechanical Game Playing, Journal of the ACM 10, no.4, (1963), 357-364.

23
E R Berlekamp, J H Conway, and R K Guy, Winning Ways for your Mathematical Plays I, Academic Press, London, England, (1982).

24
E R Berlekamp, J H Conway, and R K Guy, Winning Ways for your Mathematical Plays II, Academic Press, London, England, (1982).

25
H J Berliner, Backgammon Computer Program Beats World Champion, Computer Games 1, [5] (1980), 29-43.

26
J R S Blair, D Mutchler, and C Lin, Games with Imperfect Information, Proceedings of the AAAI Fall Symposium on Games: Planning and Learning, AAAI Press Technical Report FS93-02, Menlo Park CA, (1993), 59-67.

27
D Brunson, in collaboration with B Baldwin, M Caro, J Hawthorne, D Reese, and D Sklansky, Super/System: A Course in Power Poker, B & G Publishing Co, Inc., Las Vegas NV, (1978).

28
J Case (aka W Hyde) and S Jacobs, Percentage Hold'em: The Book of Numbers, The Monitor, Salt Lake City UT (with Whitestone Books, San Jose CA), (1993).

29
K Chen, Group Identification in Computer Go, Heuristic Programming in Artificial Intelligence 1, [7], (1989), 195-210.

30
K Chen, A Kierulf, M Muller and J Nievergelt, The Design and Evolution of Go Explorer, Computers, Chess, and Cognition, [11] (1990), 271-285.

31
K Chen, Attack and Defense, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 146-156.

32
W H Cutler, An Optimal Strategy for Pot-Limit Poker, American Math Monthly 82, (1975), 368-376.

33
R A Epstein, The Theory of Gambling and Statistical Logic, Academic Press, New York (1977).

34
N V Findler, Programming Games, Summarized Proceedings of the First Conference on Automatic Computing and Data Processing, Australia, (1961), paper B1, 3.3.

35
N V Findler, Computer Model of Gambling and Bluffing, IRE Transactions on Electronic Computers, vol.EC-10, no.1, (1961), 5-6. (Reprinted in [6], pp 409-412).

36
N V Findler, Some New Approaches to Machine Learning, IEEE Transactions on Systems Sciences and Cybernetics, vol.SSC-5, no.3, (1969), 173-182. (Reprinted in [6], pp 304-324).

37
N V Findler, H Klein, W Gould, A Kowal, and J Menig Studies on Decision Making Using the Game of Poker, Proceedings of IFIP Congress 1971, (1972), 1448-1459. (Reprinted in [6], pp 413-429).

38
N V Findler, H Klein, and Z Levine Experiments with inductive discovery processes leading to heuristics in a poker program, Proceedings of Conference on Cognitive Systems, Springer-Verlag, Berlin, (1973), 257-266.

39
N V Findler, H Klein, R C Johnson, A Kowal, Z Levine, and J Menig, Heuristic programmers and their gambling machines, Proceedings of the ACM National Conference, San Diego CA, (1974), 28-37.

40
N V Findler, Studies in Machine Cognition Using the Game of Poker, Communications of the ACM 20, no.4, (1977), 230-245. (Reprinted in [6], pp 430-460).

41
N V Findler, Computer Poker, Scientific American, July (1978), 112-119.

42
N V Findler, Aspects of Computer Learning, Cybernetic Systems 11, no.1-2 (1980), 67-86.

43
A Frank, Brute Force Search in Games of Imperfect Information, Heuristic Programming in Artificial Intelligence 2, [8] (1990), 204-209.

44
B Gamback, M Rayner, and B Pell, An Architecture for a Sophisticated Mechanical Bridge Player, Heuristic Programming in Artificial Intelligence 2, [8] (1990), 87-107.

45
R Gasser, Applying Retrograde Analysis to Nine Men's Morris, Heuristic Programming in Artificial Intelligence 2, [8] (1990), 161-173.

46
R Gasser, Heuristic Search and Retrograde Analysis: their application to Nine Men's Morris, Diploma thesis, Swiss Federal Institute of Technology, Zurich, Switzerland, (1990).

47
J Gnodde, Aida, New Search Techniques Applied to Othello, M.Sc. Thesis, University of Leiden, Netherlands, (1993).

48
M R Hall and D E Loeb, Thoughts on Programming a Diplomat, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 123-145.

49
F-h Hsu, T S Anantharaman, M S Cambell and A Nowatzyk, Deep Thought, Computers, Chess, and Cognition, [11], (1990), 55-78.

50
L Jones, Winning Low-Limit Hold'em, ConJelCo, Pittsburgh PA, (1994).
51
S Karlin and R Restrepo, Multistage Poker Models, Contributions to the Theory of Games, vol.3 [4], Princeton University Press, (1957), 337-364.

52
S Karlin, Mathematical Methods and Theory in Games, Programming and Economics, vol.2, Pergamon Press, London, (1959).

53
A Kierulf, K H Chen and J Nievergelt, Smart Game Board and Go Explorer: A Case Study in Software and Knowledge Engineering, Communications of the ACM, 33, no.2, (1990), 152-166.

54
R Lake, J Schaeffer, and P Lu, Solving Large Retrograde Analysis Problems Using a Network of Workstations, TR 93-13, Department of Computing Science, University of Alberta, (1993).

55
D N L Levy, The Million Pound Bridge Problem, Heuristic Programming in Artificial Intelligence 1, [7] (1989), pp 95-103.

56
E T Lindelof, COBRA - The Computer Designed Bidding System, Gollancz, London, England, (1983).

57
J M MacLeod, MICROBRIDGE - A Computer Developed Approach to Bidding, Heuristic Programming in Artificial Intelligence 1, [7] (1989), 81-87.

58
M Malmuth, Gambling Theory and Other Topics, Two Plus Two Publishing, Las Vegas NV, (1987) (1994 4th ed).

59
M Malmuth, Winning Concepts in Draw and Lowball, Two Plus Two Publishing, Las Vegas NV.

60
M Malmuth, Poker Essays, Two Plus Two Publishing, Las Vegas NV.

61
J F Nash and L S Shapley, A Simple Three-Person Poker Game, Contributions to the Theory of Games, vol.1 [2], Princeton University Press, (1950), 105-116.

62
D J Newman, A model for ``real'' poker, Oper. Res. 7, (1959), 557-560.

63
O Patashnik, Qubic: 4x4x4 Tic-Tac-Toe, Mathematics Magazine 53, (1980), 202-216.

64
B Pell, Exploratory Learning in the Game of GO: Initial Results, Heuristic Programming in Artificial Intelligence 2, [8], (1990), 137-152.

65
R Popma and L V Allis, Life and Death Refined, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 157-164.

66
P S Rosenbloom, A World-Championship-Level Othello Program, Computer Games 2, [6] (1979), 365-408.

67
J L Ryder, Heuristic analysis of large trees as generated in the game of Go, Ph.D. Thesis, Stanford University, (1971).

68
M Sakaguchi and S Sakai, Partial Information in a Simplified Two-Person Poker, Math. Japonica 26, no.6, (1981), 695-705.

69
M Sakaguchi, A Simplified Two-Person Multistage Poker with Optional Stopping, Math. Japonica 28, no.3 (1983), 287-303.

70
M Sakaguchi, A Note on the Disadvantage for the Sente Player in Poker, Math. Japonica 29, no.3 (1984), 483-489.

71
M Sakaguchi, On Two-Person ``Real'' Poker by Newman, Math. Japonica 30, no.3 (1985), 471-483.

72
M Sakaguchi, Information Contained in Face-up Cards in Poker, Math. Japonica 30, no.4 (1985), 535-549.

73
M Sakaguchi, The Value of Sample Information in High-Hand-Wins Poker, Math. Japonica 33, (1988), 587-607.

74
M Sakaguchi, The Value of Sample Information in La Relance Poker, Math. Japonica 33, (1988), 777-800.

75
M Sakaguchi and S Sakai, Multistage Poker with Random Amount of Bets, Math. Japonica 37, no.5, (1992), 827-838.

76
M Sakaguchi and S Sakai, Solutions of Some Three-Person Stud and Draw Poker, Math. Japonica 37, no.6, (1992), 1147-1160.

77
S Sakai, A model for real poker with an upper bound of assets, Journal Optim. Theory Appl. 50, no.1, (1986), 149-163.

78
J Schaeffer, J Culbertson, N Treloar, B Knight, P Lu, and D Szafron, Reviving the Game of Checkers, Heuristic Programming in Artificial Intelligence 2, [8] (1990), 119-136. (Also available as a University of Alberta Computer Science department technical report).

79
J Schaeffer, J Culbertson, N Treloar, B Knight, P Lu, and D Szafron, A World Championship Caliber Checkers Program, Artificial Intelligence 53, no.2-3, (1992), 273-290.

80
J Schaeffer, Man Versus Machine: The Silicon Graphics World Checkers Championship, TR 92-19, Department of Computing Science, University of Alberta, (1992).

81
J Schaeffer, N Treloar, P Lu, and R Lake, Man Versus Machine for the World Checkers Championship, AI Magazine 14, no.2, (1993), 28-35. (An abbreviated version of this article also appeared in the ICCA Journal [10], vol.16, no.2, 105-110).

82
J Schaeffer, A Re-examination of Brute-Force Search, Proceedings of the AAAI Fall Symposium on Games: Planning and Learning, AAAI Press Technical Report FS93-02, Menlo Park CA, (1993), 51-58.

83
P N A Schoo, Optimal Play in a Single Bridge Suit, in preparation.

84
S C Shapiro and H R Smith, A Scrabble Crossword Game-Playing Program, Computer Games 1, (1977), 403-422.

85
K Shirayanagi, Knowledge Representation and its Refinement in Go Programs, Computers, Chess, and Cognition, [11] (1989), 287-300.

86
D Sklansky, Hold'em Poker, Gambler's Book Club, Las Vegas NV, (1976).

87
D Sklansky, The Theory of Poker, (formerly titled ``Winning Poker''), Two Plus Two Publishing, Las Vegas NV, (1987) (1992 3rd ed).

88
D Sklansky, Sklansky on Poker, Two Plus Two Publishing, Las Vegas NV.

89
D Sklansky, Getting the Best of It, Two Plus Two Publishing, Las Vegas NV.

90
D Sklansky and M Malmuth, Hold'em Poker for Advanced Players, Two Plus Two Publishing, Las Vegas NV, (1988) (1994 2nd ed).

91
D Sklansky, M Malmuth and R Zee, Seven-Card Stud for Advanced Players, Two Plus Two Publishing, Las Vegas NV.

92
L Stiller, Parallel Analysis of Certain Endgames, ICCA Journal 12, [10] no.2, (1989), 55-64.

93
G Tesauro, NEUROGAMMON: A Neural-Network Backgammon Learning Program, Heuristic Programming in Artificial Intelligence 1, [7] (1989), 78-80.

94
G Tesauro, TD-Gammon, A Self-Teaching Backgammon Program, Achieves Master-Level Play, Proceedings of the AAAI Fall Symposium on Games: Planning and Learning, AAAI Press Technical Report FS93-02, Menlo Park CA, (1993), 19-23.

95
K Thompson, Retrograde Analysis of Certain Endgames, ICCA Journal 9, [10] no.3, (1986), 131-139.

96
E O Thorp, and W E Walden, A Computer-Assisted Study of Go on M x N Boards, Computer Games 2, [6] (1972), 152-181.

97
T Throop and T Guilfoyle, A Thrilling Hand, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 27-28.

98
J W H M Uiterwyk, H J van den Herik, and V Allis, Knowledge-Based Approach to Connect Four. The Game is Over: White to Move Wins!, Heuristic Programming in Artificial Intelligence 1, [7] (1989), 113-133.

99
J W H M Uiterwijk, Knowledge and Strategies in Go-Moku, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 165-179.

100
I H Ulgee, Letters beyond Numbers, Heuristic Programming in Artificial Intelligence 3, [9] (1992), 63-66.

101
J von Neumann and O Morgenstern, Theory of Games and Economic Behavior, Princeton Univ. Press, Princeton, (1944).

102
R Wheen, Brute Force Programming for Solving Double Dummy Bridge Problems, Heuristic Programming in Artificial Intelligence 1, [7] (1989), 88-94.

103
B Wilcox, Reflections on Building Two Go Programs, SIGART News 94, (1985), 29-43.

104
N Zadeh, PhD thesis, University of California at Berkeley, (1972).

105
N Zadeh, Winning Poker Systems, Prentice Hall, Inc., Englewood Cliffs, NJ, (1974).

106
N Zadeh, Computation of optimal poker strategies, Operations Res. 25, no.4, (1977), 541-562.

107
R Zee, High-Low-Split Poker, Seven-Card Stud and Omaha Eight-or-Better for Advanced Players, Two Plus Two Publishing, Las Vegas NV.

108
A L Zobrist, Feature extraction and representation for pattern recognition and the game of Go, Ph.D. Thesis, U of Wisconsin, (1970).

109
A Andrews, Seven-Card-Stud Poker for Windows, rec.gambling.poker Berkely Archive Site [126], 7crdstd2.zip. (More recent versions also available).

110
S Brecher, IRC .ircrc Configuration File, rec.gambling.poker Berkely Archive Site [126], ircrc.poker.

111
M Maurer, Simulation Data for Various Poker Games, available from the author [117].

112
R T Hashimoto, A Poker Hand Distribution Generator: fish.c, rec.gambling.poker Berkely Archive Site [126], fish.c.

113
C T Matthews, Rewrite of Hashimoto's fish.c, rec.gambling.poker Berkely Archive Site [126], poker.tar.gz, or anonymous FTP site: ``ftp.cs.unm.edu/pub/poker/poker.tar.gz''.

114
C T Matthews, K Miyake, M Hostetter, Very Fast Poker Hand Comparators, rec.gambling.poker Berkely Archive Site [126], poker.tar.gz, or anonymous FTP site: ``ftp.cs.unm.edu/pub/poker/poker.tar.gz''.

115
Gambler's Book Club catalogue, Gambler's Book Club, Las Vegas NV. Better program titles include: ``Workware Master Series Hold'em'', ``Wilson Software Turbo Texas Hold'em'', ``Szobodan Seven-Card Stud'', and ``The World Series of Poker Adventure''.

116
M Maurer, IRC Poker Database, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/''.

117
M Maurer, WWW Home Page, WWW Address: ``http://www-star.stanford.edu/ maurer/''.

118
M Maurer, Bankroll Variance as a Function of Game Size, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/pstats4.html''.

119
M Maurer, Profit Rate as a Function of Position and Game Size, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/pstats5.html''.

120
M Maurer, Player Strategy Statistics: Abridged Set, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/psort2.html''.

121
M Maurer, IRC Observer Bot Source Code, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/pobot'' (etc).

122
M Maurer, IRC Bot Poker Player, WWW Address: ``http://www-star.stanford.edu/ maurer/r.g/pmaubot''.

123
M Maurer, A Study of Variance Using the IRC Poker Database, WWW Address: ``http://www.conjelco.com/r_g/las_vegas/variance_3-6.html''.

124
T Mummert, An IRC Poker Dealing Program, IRC Server location: ``vegas.scandal.cs.cmu.edu 6667'', WWW Address: ``http://www.cs.cmu.edu/ mummert/ircbot.html''.

125
H Ruegg, 7-Card Stud and Texas Hold'em Simulations, rec.gambling.poker Berkely Archive Site [126], spoker.tar.Z

126
Usenet newsgroup rec.gambling.poker, Berkeley Archive Site, WWW Address: ``ftp://ftp.csua.berkeley.edu/pub/rec.gambling/poker'' (note: maximum of 15 anonymous users).

127
Usenet newsgroup rec.gambling.poker, UIUC Archive Site, WWW Address: ``gopher://gopher.uiuc.edu/1ftp
128
Usenet newsgroup rec.gambling.poker, Frequently Asked Questions (FAQ), WWW Address: ``http://www.conjelco.com/faq/poker.html''.

129
Usenet newsgroup rec.gambling.poker, WWW Home Page, WWW Address: ``http://www.conjelco.com/r.g.html''.


& Schaeffer
Thu Feb 12 14:00:05 MST 1998