Advances in Artificial Intelligence and Applied Cognitive Computing

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).

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.