International Conference on Artificial General Intelligence - (ICAGI-26)


9th - 10th November, 2026 | Gatineau, Canada

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

10th October, 2026

Paper Submission Deadline

15th October, 2026

Last Date Of Registration

25th October, 2026

Date Of Conference

9th - 10th November, 2026

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 10 SDG 10 — Reduced Inequalities
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 17 SDG 17 — Partnerships for the Goals
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All Session Tracks

Track 01
Advancements in Artificial General Intelligence

This track focuses on the latest developments in artificial general intelligence, exploring theoretical frameworks and practical implementations. Researchers are encouraged to present novel algorithms and architectures that enhance AGI capabilities.

Track 02
Cognitive Science and AI Integration

This session examines the intersection of cognitive science and artificial intelligence, emphasizing how insights from human cognition can inform AI design. Contributions should address philosophical implications and cognitive models that enhance AGI.

Track 03
Automated Reasoning and Problem Solving

This track invites papers on automated reasoning techniques and their applications in complex problem-solving scenarios. Topics may include logic-based systems, theorem proving, and decision-making frameworks.

Track 04
Computational Neuroscience and Neural Systems

This session explores the role of computational neuroscience in understanding neural systems and their applications in artificial intelligence. Papers should discuss modeling techniques and their implications for AGI development.

Track 05
Multi-Agent Systems and Coordination

This track focuses on the design and implementation of multi-agent systems, emphasizing coordination and cooperation among agents. Contributions should highlight innovative approaches to agent communication and task allocation.

Track 06
Machine Learning Techniques for AGI

This session invites research on advanced machine learning techniques that contribute to the development of artificial general intelligence. Topics may include deep learning, reinforcement learning, and unsupervised learning methodologies.

Track 07
Real-Time Control Systems in AI

This track examines the integration of real-time control systems within artificial intelligence frameworks. Papers should address challenges and solutions related to responsiveness and adaptability in dynamic environments.

Track 08
Fuzzy Systems and Intelligent Decision Making

This session focuses on the application of fuzzy systems in intelligent decision-making processes. Researchers are encouraged to present novel approaches that enhance AGI through uncertainty management and reasoning.

Track 09
Distributed Computing for AI Applications

This track explores the role of distributed computing in enhancing the performance and scalability of AI applications. Contributions should discuss frameworks, algorithms, and case studies that demonstrate effective distributed solutions.

Track 10
Human-Computer Interaction in AGI Systems

This session emphasizes the importance of human-computer interaction in the development of AGI systems. Papers should explore user experience, interface design, and the implications of AGI on human engagement.

Track 11
Software Engineering for Intelligent Systems

This track invites discussions on software engineering practices tailored for the development of intelligent systems. Topics may include requirement analysis, software standards, and design methodologies that support AGI initiatives.