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The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments.

, , , , , , , , , , , and . Trans. Computational Collective Intelligence, (2016)

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Testing the Differences of using RGB and HSV Histograms during Evolution in Evolutionary Art., , , , , , and . IJCCI, page 168-174. SciTePress, (2013)Emerging archetypes in massive artificial societies for literary purposes using genetic algorithms., , and . CoRR, (2014)There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems., , , , , , , , and . IJCCI (ECTA), page 261-268. SciTePress, (2015)The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments., , , , , , , , , and 2 other author(s). Trans. Computational Collective Intelligence, (2016)Overview of PicTropes, a film trope dataset., , , and . CoRR, (2018)The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments., , , , , , , , , and 2 other author(s). Trans. Computational Collective Intelligence, (2016)A methodology for designing emergent literary backstories on non-player characters using genetic algorithms., , , and . GECCO (Companion), page 49-50. ACM, (2014)The Story of Their Lives: Massive Procedural Generation of Heroes' Journeys Using Evolved Agent-Based Models and Logical Reasoning., , , , and . EvoApplications (1), volume 9597 of Lecture Notes in Computer Science, page 604-619. Springer, (2016)How the World Was MADE: Parametrization of Evolved Agent-Based Models for Backstory Generation., , , , , and . EvoApplications, volume 9028 of Lecture Notes in Computer Science, page 443-454. Springer, (2015)