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Perception et émotions des conducteurs : une modélisation à base de règles floues (présentation courte).

, and . JFSMA, page 115-124. Cepadues Editions, (2013)

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Practical use of fuzzy implicative gradual rules in knowledge representation and comparison with Mamdani rules., , , and . EUSFLAT Conf., page 967-972. Universidad Polytecnica de Catalunya, (2005)Une modélisation de l'empathie et des effets placebo pour la simulation d'humains virtuels., , and . JFSMA, page 257-260. Cepadues Editions, (2009)Dynamiques émotionnelles d'une population d'agents incarnés., and . Rev. d'Intelligence Artif., 27 (6): 709-738 (2013)Perception et émotions des conducteurs : une modélisation à base de règles floues (présentation courte)., and . JFSMA, page 115-124. Cepadues Editions, (2013)A Practical Inference Method with Several Implicative Gradual Rules and a Fuzzy Input: One and Two Dimensions., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Empathy and Placebo for Autonomous Agents., , and . IAT, page 277-282. IEEE Computer Society Press, (2010)978-0-7695-4191-4.Knowledge discovery and unsupervised detection of within-field yield defective observations., , , and . Comput. Electron. Agric., (2019)Fuzzy Rules for Events Perception and Emotions in an Agent Architecture., , and . EUSFLAT Conf., page 657-664. Atlantis Press, (2011)Mixed agent/social dynamics for emotion computation., and . AAMAS, page 645-652. IFAAMAS/ACM, (2014)A new approach for zoning irregularly-spaced, within-field data., , , and . Comput. Electron. Agric., (2017)