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4th Cognitive Models and Artificial Intelligence Conference
24th April 2026 –
25th April 2026
, Czech Republic
Cognitive Models and Artificial Intelligence Conference aims to share and discuss theoretical and practical knowledge in a scientific framework by bringing together scientists, experts, educators, non-governmental organizations, and private sector representatives. AICCONF aimed to serve as a multidisciplinary platform where current issues in the fields of engineering are discussed, as well as recent research paper presentations in the field of artificial intelligence.
The technical program of AICCONF 2026 will include the presentation of invited speakers, posters, and regular sessions. AICCONF 2026 is an international conference organized for universities, research groups, companies, and technology groups from many countries to present their research results and innovative applications. The technical sponsor of AICCONF 2026 is IEEE SMC.
All submitted full papers will be double-blind peer-reviewed and evaluated based on originality, research content, correctness, relevance to conference and readability. Accepted and presented full papers will be published in IEEE Xplore. Additionally, abstracts, and poster presentations will be published with ISBN in the AICCONF 2026 companion proceeding.
Organized By
Tokat Gaziosmanpasa University and IEEE SMC
Conference Highlights
Track 1: Theoretical Foundations of Cognition and AI
Track 2: Machine Learning and Cognitive-Inspired AI
Track 3: Human-Centered and Social Cognition in AI
Track 4: Embodied Intelligence and Real-World Applications
Track 5: Interdisciplinary and Future Perspectives
Track 6: Cognitive Modeling Tools, Methods, and Simulation
Track 7: Brain, Biology, and Cognitive Computation
Track 8: Cognitive AI in Education and Training
Track 9: Engineering Cognitive Systems
Track 10: Societal Impact and AI Policy Informed by Cognition
Keywords
Artificial Intelligence
Context-Aware Learning
Generative Models
Blazor components
Adaptive Assessment
Real-Time Recommendation
Personalized Education