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International Conference on General Artificial Intelligence

📅 17–18 Jun 2027 📍 Tlemcen, Algeria 👤 Standard / Listener

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$150

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the theoretical underpinnings of artificial general intelligence, exploring cognitive architectures and their implications for machine learning. Contributions should address philosophical considerations and the intersection of cognitive science with AI development.

This session invites papers that delve into automated reasoning techniques and their applications in decision-making processes. Topics may include logic-based systems, probabilistic reasoning, and their relevance to AI systems.

This track emphasizes the integration of computational neuroscience principles into AI model development. Papers should explore how insights from brain function can inform the design of more efficient and adaptable AI systems.

This session aims to showcase advancements in robotics, particularly those that leverage artificial intelligence for autonomy and adaptability. Contributions may include novel algorithms, control systems, and real-world applications of robotic technologies.

This track explores the dynamics of multi-agent systems, focusing on coordination, communication, and collaboration among autonomous agents. Papers should address theoretical frameworks, algorithms, and practical applications in complex environments.

This session invites discussions on the development and application of natural networks and neural systems in AI. Contributions may include advancements in neural-fuzzy systems, genetic algorithms, and their implications for intelligent behavior.

This track examines the intersection of computational physics and artificial intelligence, focusing on how AI can enhance simulations and modeling in physical sciences. Papers should explore innovative algorithms and their applications in solving complex physical problems.

This session seeks to bridge cognitive science and artificial intelligence, investigating how cognitive theories can inform AI development. Contributions should address the implications of cognitive models for understanding intelligence in machines.

This track focuses on the development of real-time control systems that utilize AI for enhanced performance and responsiveness. Papers should explore algorithms and architectures that enable real-time decision-making in dynamic environments.

This session invites contributions on the development and application of numerical algorithms in artificial intelligence contexts. Topics may include optimization techniques, data analysis methods, and their relevance to machine learning.

This track explores the role of communication networks and protocols in facilitating AI interactions and data exchange. Papers should address challenges and innovations in networked AI systems, emphasizing scalability and efficiency.