The Advantage of the Initiative

Abstract Recently, the list of solved two-person zero-sum games with perfect information has increased. The state of current knowledge is that many games are a win for the first player, some games are draws, and only a few games are a win for the second player. For games with three outcomes (won, drawn, lost) a game is commonly defined as fair if the theoretical value of the game is drawn. For these games as well as for games with two outcomes (won, lost) we were tempted to examine which concepts characterize the outcome of a game. In this paper, we distinguish two main concepts valid for many two-person games, namely initiative and zugzwang . The initiative is defined as an action of the first player. The notion of zugzwang is adopted from the game of chess. To investigate the impact of the initiative we determine the game-theoretic values of a large number of k -in-a-row games and over 200 Domineering games as a function of the board size. The results indicate that having the initiative is a clear advantage under the condition that the board size is sufficiently large.

[1]  R.K. Guy,et al.  On numbers and games , 1978, Proceedings of the IEEE.

[2]  H. Jaap van den Herik,et al.  Planning a Strategy in Chess , 1998, J. Int. Comput. Games Assoc..

[3]  H. Jaap van den Herik,et al.  Solving 8×8 Domineering , 1999, Theor. Comput. Sci..

[4]  H. J. van den Herik,et al.  A knowledge-based approach to connect-four: The game is over: White to move wins! , 1989 .

[5]  Jorge Nuno Silva,et al.  Mathematical Games , 1959, Nature.

[6]  H. Jaap van den Herik,et al.  Secrets of Rook Endings , 1993, J. Int. Comput. Games Assoc..

[7]  H. Jaap van den Herik,et al.  GO‐MOKU SOLVED BY NEW SEARCH TECHNIQUES , 1996, Comput. Intell..

[8]  John Roycroft Identifying the Three Types of Zugzwang , 1990, J. Int. Comput. Games Assoc..

[9]  D. Singmaster,et al.  Almost all games are first person games , 1981 .

[10]  H. Jaap van den Herik,et al.  Replacement Schemes for Transposition Tables , 1994, J. Int. Comput. Games Assoc..

[11]  L. V. Allis,et al.  Searching for solutions in games and artificial intelligence , 1994 .

[12]  William E. Walden,et al.  A computer assisted study of Go on M x N boards , 1972, Information Sciences.

[13]  B. C. Brookes,et al.  Information Sciences , 2020, Cognitive Skills You Need for the 21st Century.

[14]  P. Wagner Wines, Grape Vines and Climate , 1974 .

[15]  Barry L. Nelson,et al.  Hash Tables in Cray Blitz , 1985, J. Int. Comput. Games Assoc..

[16]  E. Berlekamp,et al.  Winning Ways for Your Mathematical Plays , 1983 .

[17]  Elwyn R. Berlekamp,et al.  Blockbusting and domineering , 1988, J. Comb. Theory, Ser. A.

[18]  Oren Patashnik Qubic: 4×4×4 Tic-Tac-Toe , 1980 .

[19]  Donald E. Knuth,et al.  The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm , 1981, ICALP.

[20]  Ralph Gasser,et al.  SOLVING NINE MEN'S MORRIS , 1996, Comput. Intell..

[21]  H. Jaap van den Herik,et al.  Replacement Schemes and Two-Level Tables , 1996, J. Int. Comput. Games Assoc..