AICCONF2024 • 2024
Proceeding of the Cognitive Models and Artificial Intelligence Conference
Peer Review Statement
Research contributions published in this proceedings were subjected to peer review in accordance with the SETSCI Peer Review Policy. Each peer-reviewed research contribution was evaluated by at least two reviewers before acceptance. Editorial and prefatory material, where present, is not classified as peer-reviewed research content.
Preface
Editorial Content
Not peer reviewed
This retrospective editorial note accompanies the SETSCI Conference Proceedings volume associated with Cognitive Models and Artificial Intelligence Conference. The volume is recorded with publication year 2024.
The reconstructed table of contents contains 8 article records in the order of the preserved pagination and titles. It retains the recorded titles, author order and page references where available. DOI identifiers appear only for records to which one was assigned.
This text was prepared from the migrated bibliographic records to help readers navigate the historical volume. This retrospective note describes the migrated records; it does not reproduce the original historical preface.
The reconstructed table of contents contains 8 article records in the order of the preserved pagination and titles. It retains the recorded titles, author order and page references where available. DOI identifiers appear only for records to which one was assigned.
This text was prepared from the migrated bibliographic records to help readers navigate the historical volume. This retrospective note describes the migrated records; it does not reproduce the original historical preface.
About the Conference
The Cognitive Models and Artificial Intelligence Conference (AICCONF) is an international scientific forum dedicated to advancing research and innovation in artificial intelligence, cognitive computing, and intelligent systems. The conference brings together researchers, academics, industry professionals, practitioners, and students to present original research, exchange ideas, and explore emerging directions in intelligent technologies.
AICCONF places particular emphasis on the connection between artificial intelligence and cognitive models, encouraging research that advances the way intelligent systems learn, reason, perceive, communicate, adapt, and interact with humans and their environments. The conference provides a multidisciplinary environment where theoretical foundations, computational methods, emerging technologies, and real-world applications can be discussed together.
The scientific scope of AICCONF covers a broad range of areas including artificial intelligence and machine learning, cognitive computing and computational intelligence, natural language processing and speech technologies, computer vision and image processing, robotics and autonomous systems, data science and intelligent analytics, Internet of Things and smart technologies, cybersecurity and trustworthy systems, and human-centered AI. The conference also encourages innovative applications of artificial intelligence in areas such as engineering, healthcare, education, industry, and sustainable technologies.
Beyond individual research contributions, AICCONF aims to strengthen the connection between academia, research institutions, and industry. By bringing together participants from different countries and scientific backgrounds, the conference promotes interdisciplinary dialogue, international collaboration, knowledge exchange, and the development of new research networks.
AICCONF welcomes original research papers, applied studies, methodological contributions, interdisciplinary research, and innovative AI applications that contribute to the development of intelligent and cognitive systems and address emerging scientific, technological, and societal challenges.
Through its international scientific community, AICCONF seeks to contribute to the responsible advancement of artificial intelligence while creating opportunities for researchers to share knowledge, establish collaborations, and shape future directions in AI and cognitive technologies.
AICCONF places particular emphasis on the connection between artificial intelligence and cognitive models, encouraging research that advances the way intelligent systems learn, reason, perceive, communicate, adapt, and interact with humans and their environments. The conference provides a multidisciplinary environment where theoretical foundations, computational methods, emerging technologies, and real-world applications can be discussed together.
The scientific scope of AICCONF covers a broad range of areas including artificial intelligence and machine learning, cognitive computing and computational intelligence, natural language processing and speech technologies, computer vision and image processing, robotics and autonomous systems, data science and intelligent analytics, Internet of Things and smart technologies, cybersecurity and trustworthy systems, and human-centered AI. The conference also encourages innovative applications of artificial intelligence in areas such as engineering, healthcare, education, industry, and sustainable technologies.
Beyond individual research contributions, AICCONF aims to strengthen the connection between academia, research institutions, and industry. By bringing together participants from different countries and scientific backgrounds, the conference promotes interdisciplinary dialogue, international collaboration, knowledge exchange, and the development of new research networks.
AICCONF welcomes original research papers, applied studies, methodological contributions, interdisciplinary research, and innovative AI applications that contribute to the development of intelligent and cognitive systems and address emerging scientific, technological, and societal challenges.
Through its international scientific community, AICCONF seeks to contribute to the responsible advancement of artificial intelligence while creating opportunities for researchers to share knowledge, establish collaborations, and shape future directions in AI and cognitive technologies.
Scope and Topics
• Adaptive Computing
• Artificial Intelligence
• Autonomous Reasoning
• Bioinformatics and Computational Biology
• Brain-Machine Interfaces
• Cloud and Edge Computing
• Cognitive Systems and Practices
• Data Mining and Knowledge Discovery
• Deep Learning
• Distributed Artificial Intelligence
• Evolutionary Algorithms
• Expert systems
• Fuzzy and Intelligent Systems
• Game Theory
• Global Optimization
• Hybrid Intelligent Systems
• Intelligent Database Systems
• Intelligent Robot System
• Internet of Things (IoT)
• Multi-Agent Systems
• Natural Language Processing
• Neural Network Theory and Architectures
• Pattern Recognition
• Robotics and Autonomous Vehicles
• Signal and Multimedia Processing
• Artificial Intelligence
• Autonomous Reasoning
• Bioinformatics and Computational Biology
• Brain-Machine Interfaces
• Cloud and Edge Computing
• Cognitive Systems and Practices
• Data Mining and Knowledge Discovery
• Deep Learning
• Distributed Artificial Intelligence
• Evolutionary Algorithms
• Expert systems
• Fuzzy and Intelligent Systems
• Game Theory
• Global Optimization
• Hybrid Intelligent Systems
• Intelligent Database Systems
• Intelligent Robot System
• Internet of Things (IoT)
• Multi-Agent Systems
• Natural Language Processing
• Neural Network Theory and Architectures
• Pattern Recognition
• Robotics and Autonomous Vehicles
• Signal and Multimedia Processing