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To Create Intelligent Adaptive Game Opponent by Using Monte-Carlo for the Game of Pac-Man., , , , , , and . ICNC (5), page 598-602. IEEE Computer Society, (2009)Creating Challengeable and Satisfactory Game Opponent by the Use of CI Approaches., , , , and . Int. J. Adv. Comp. Techn., 2 (1): 41-63 (2010)Extraction of Chinese Multiword Expressions Based on Artificial Neural Network with Feedbacks., , , , , and . PRICAI, volume 7458 of Lecture Notes in Computer Science, page 734-739. Springer, (2012)To Create Intelligent Adaptive Neuro-Controller of Game Opponent from UCT-Created Data., , , , , , and . FSKD (2), page 445-449. IEEE Computer Society, (2009)Automatic AI design by the use of MCTS for the game Dead-End., , , , and . FSKD, page 2772-2776. IEEE, (2010)Healthy or Harmful? Polarity Analysis Applied to Biomedical Entity Relationships., , , , and . PRICAI, volume 7458 of Lecture Notes in Computer Science, page 777-782. Springer, (2012)To Create Adaptive Game Opponent by Using UCT., , , , , , , and . CIMCA/IAWTIC/ISE, page 67-70. IEEE Computer Society, (2008)To Create Intelligent Adaptive Game Opponent by Using Monte-Carlo for Tree Search., , , , , , and . ICNC (5), page 603-607. IEEE Computer Society, (2009)To create neuro-controlled game opponent from UCT-created data., , , , , , , , , and 1 other author(s). GEC Summit, page 1013-1016. ACM, (2009)