By Ze’ev Ben-Porat, Martin Charles Golumbic (auth.), Martin Charles Golumbic (eds.)
Research in man made intelligence, ordinary language processing and knowledge-based platforms has blossomed in past times decade. At nationwide and foreign symposia in addition to in learn facilities and universities around the world, those matters were the focal point of severe debate and learn. this is often both actual in Israel which has hosted numerous foreign boards on those issues. The articles during this booklet signify a variety of contributions provided at contemporary AI meetings held in Israel. A theoretical version for a process that learns from its personal adventure in enjoying board video games is gifted in studying from adventure in Board video games via Ze'ev Ben-Porat and Martin Golumbic. The version allows this sort of method to reinforce and increase its taking part in features by using a studying mechanism which extracts wisdom from genuine taking part in event. the educational method calls for no exterior tips or suggestions. This version used to be applied and confirmed on a version of "Chinese Checkers. " The paper indicates the feasibility and validity of the proposed version and investigates the parameters that have an effect on its functionality features. The experimental effects supply facts of the validity of the version as a strong studying mechanism. unique and normal algorithms for wisdom extraction and development matching have been designed and proven as a part of the prototype desktop approach. research of the functionality features of those algorithms exhibits that they could deal with huge wisdom bases in a good manner.
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Additional info for Advances in Artificial Intelligence: Natural Language and Knowledge-based Systems
It is estimated that a chess Grandmaster recognizes about 50,000 patterns (piece-configurations) and knows the appropriate plan of action (production rules) for these patterns. Knowing the types of moves relevant to a given pattern on the board, reduces or eliminates the necessity of searching the game-tree. The LEFEX model offers support for this proposition, and may also explain the correlated fact that Grandmasters sometimes make very bad mistakes during Blitz games. ) Within the broad framework of this work only the initial design of the model has been accomplished.
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Advances in Artificial Intelligence: Natural Language and Knowledge-based Systems by Ze’ev Ben-Porat, Martin Charles Golumbic (auth.), Martin Charles Golumbic (eds.)