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Automated learning of hierarchical task networks for controlling minecraft agents., , , and . CIG, page 226-231. IEEE, (2017)Diverse Plan Generation by Plan Adaptation and by First-Principles Planning: A Comparative Study., and . ICCBR, volume 7466 of Lecture Notes in Computer Science, page 32-46. Springer, (2012)Expectations for agents with goal-driven autonomy., , and . J. Exp. Theor. Artif. Intell., 33 (5): 867-889 (2021)Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning., , , and . AAAI, page 1535-1540. AAAI Press / The MIT Press, (2005)Plan-Based Character Diversity., and . AIIDE, The AAAI Press, (2012)An Analysis on Transformational Analogy: General Framework and Complexity., and . ECCBR, volume 4106 of Lecture Notes in Computer Science, page 458-473. Springer, (2006)Active Delivery for Lessons Learned Systems., , , and . EWCBR, volume 1898 of Lecture Notes in Computer Science, page 322-334. Springer, (2000)Integrating Conversational Case Retrieval with generative Planning., , , , and . EWCBR, volume 1898 of Lecture Notes in Computer Science, page 210-221. Springer, (2000)An Intelligent Lessons Learned Process., , , and . ISMIS, volume 1932 of Lecture Notes in Computer Science, page 358-367. Springer, (2000)Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions., and . ICCBR, volume 5650 of Lecture Notes in Computer Science, page 180-194. Springer, (2009)