Abstract
Pursuing the idea of a good working knowledge of one’s opponent model (OM search), loss-oriented search (LO search) goes beyond OM search in occasionally presenting the opponent with an intentional give-away move.
When this model is extended to the tutorial level, a delicate balance must be maintained: give-away moves are allowed under the important proviso that, on a balance of probabilities, they should go unnoticed.
It is acknowledged that the model is possibly too detailed to be realistic and rather naively replaces the stochastic quality (does the opponent recognize a give-away move?) by a numerical value. Yet, the paper provides valuable though preliminary results on an idealized opponent and how to tutor him.
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