Advances in Artificial Intelligence and Applied Cognitive Computing

Advances in Artificial Intelligence and Applied Cognitive Computing

Proceedings from ICAI'20 and ACC'20

Tinetti, Fernando G.; Olivas Varela, Jose Angel; Arabnia, Hamid R.; Kozerenko, Elena B.; Ferens, Ken; de la Fuente, David

Springer Nature Switzerland AG

10/2022

1184

Mole

Inglês

9783030702984

15 a 20 dias

2002

Descrição não disponível.
Introduction.- PART I: ICAI'20.- Brain models, Brain mapping, Cognitive science.- Natural language processing.- Fuzzy logic and soft computing.- Social impact of AI.- Emerging technologies.- Statistical learning theory.- Unsupervised and Supervised Learning.- Multivariate analysis.- Hierarchical learning models.- Relational learning models.- Bayesian methods.- Meta learning.- Stochastic optimization.- Heuristic optimization techniques.- Neural networks and variations.- Reinforcement learning.- PART II: ACC 2020.- Novel Computationally Intelligent algorithms.- Bio Inspired Cognitive Algorithms.- Improving Cognition in machine learning systems.- Modeling Human Brain processing systems.- Multimodal learning systems.- Autonomous learning systems.- Reinforced learning.- Conclusion.
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