Advances in Artificial Intelligence and Applied Cognitive Computing : Proceedings from ICAI'20 and ACC'20 (Transactions on Computational Science and Computational Intelligence) （1st ed. 2021. 2021. xxi, 1184 S. XXI, 1184 p. 150 illus. in color. 235）

Herausgegeben:Arabnia, Hamid R./ Ferens, Ken/ De la Fuente, David/ Kozerenko, Elena B./ Olivas Varela, José/ Angel/ Tinetti, Fernando G.

SPRINGER, BERLIN; SPRINGER INTERNATIONAL PUBLISHING;（2021発売）

• 製本 Hardcover:ハードカバー版
• 商品コード 9783030702953

Full Description

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI'20) and The 4th International Conference on Applied Cognitive Computing (ACC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals.

Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
Includes the tracks: artificial intelligenceand applied cognitive computing;
Features papers from the 22nd International Conference on AI (ICAI'20) and the 4th International Conference on Applied Cognitive Computing (ACC'20).

Contents

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.