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文献信息
Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world-leading journal with a long-term history dedicated to publishing high quality, rigorously reviewed, original papers in Artificial Intelligence (AI) research.
Artificial IntelligenceParticle Swarm OptimisationMachine LearningKnowledge RepresentationCognitive ScienceConstraint SatisfactionGenetic AlgorithmGlobal Exponential StabilityReinforcement LearningDeep LearningNeural NetworksParticle Swarm OptimizationDifferential EvolutionTuring TestExponential StabilityDifferential InequalityNatural Language ProcessingSwarm IntelligenceFeature SelectionMulti-agent Systems
vol.38 (2026)
vol.37 (2025)
vol.36 (2024)
vol.35 (2023)
vol.34 (2022)
vol.33 (2021)
vol.32 (2020)
vol.31 (2019)
vol.30 (2018)
vol.29 (2017)
vol.28 (2016)
vol.27 (2015)
vol.26 (2014)
vol.25 (2013)
vol.24 (2012)
vol.23 (2011)
vol.22 (2010)
vol.21 (2009)
vol.20 (2008)
vol.19 (2007)
vol.18 (2006)
vol.17 (2005)
vol.16 (2004)
vol.15 (2003)
vol.14 (2002)
vol.13 (2001)
vol.12 (2000)
vol.11 (1999)
vol.10 (1998)
vol.9 (1997)
vol.8 (1996)
vol.7 (1995)
vol.6 (1994)
vol.5 (1993)