A reference model of Fallible Endgame Play has been implemented and exercised with the chessengine WILHELM. Past experiments have demonstrated the value of the model and the robustness of decisions based on it: experiments agree well with a Markov Model theory. Here, the reference model is exercised on the well-known endgame KBBKN.

While Nalimov’s endgame tables for Western Chess are the most used today, their Depth-to-Mate metric is not the most efficient or effective in use. The authors have developed and used new programs to create tables to alternative metrics and recommend better strategies for endgame play.

Awale games have become widely recognized across the world, for their innovative strategies and techniques which were used in evolving the agents (player) and have produced interesting results under various conditions. This paper will compare the results of the two major machine learning techniques by reviewing their performance when using minimax, endgame database, a combination of both techni...

While Nalimov’s endgame tables for Western Chess are the most used today, their Depth-to-Mate metric is not the only one and not the most effective in use. The authors have developed and used new programs to create tables to alternative metrics and recommend better strategies for endgame play.

Sequential games of perfect information can be solved by backward induction, where solutions to endgames are propagated up the game tree. However, this does not work in imperfect-information games because different endgames can contain states that belong to the same information set and cannot be treated independently. In fact, we show that this approach can fail even in a simple game with a uni...

Awale games have become widely recognized across the world, for their innovative strategies and techniques which were used in evolving the agents(player) and have produced interesting results under various conditions. This paper will compare the results of the two major machine learning techniques by reviewing their performance when using minimax, endgame database, a combination of bothtechniqu...

Since its origins in the 1960s, tobacco control has achieved remarkable success against the scourge of tobacco-produced disease and death. Yet tobacco use, especially cigarette smoking, remains the world's leading cause of preventable premature death and is likely to do so for decades to come. Evidence-based policies seem incapable of substantially hastening the demise of smoking. Slowness in t...

'Endgame' is a term from chess, a complex game with a simple objective: to checkmate the king. Tobacco control is not so simple. We do not have one uniform agreed objective but a multiplicity of goals some of which may be incompatible. We are not playing a global game of chess, but a multiplicity of battles and skirmishes played out with different rules and on different terrains. This paper exa...

Palamedes is an ongoing project for building expert playing bots that can play backgammon variants. Until recently the position evaluation relied only on self-trained neural networks. This paper describes the first attempt to augment Palamedes by constructing databases for certain endgame positions for the backgammon variant of Plakoto. The result is 5 databases containing 12,480,720 records in...

A reference model of Fallible Endgame Play has been implemented and exercised with the chess engine WILHELM. Various experiments have demonstrated the value of the model and the robustness of decisions based on it. Experimental results have also been compared with the theoretical predictions of a Markov model of the endgame and found to be in close agreement.