Title Statements
- Full title :Advances in artificial intelligence and applied cognitive computing : proceedings from ICAI'20 and ACC'20 / Hamid R. Arabnia, Ken Ferens, David de la Fuente, Elena B. Kozerenko, José Angel Olivas Varela, Fernando G. Tinetti, editors.
Summary
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 intelligence and 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).
Read More ↓Edition Statements
- Publication Date:2021.
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham, Switzerland
- Language:eng
- Publication Date:2021.
Notes
Includes index.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9783030702960, 3030702960
- DOI:10.1007/978-3-030-70296-0
- oclc:on1277139363
- LC Classification:Q334
- Dewey Decimal:006.3
Table of 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.
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