The 13th IEEE International Conference on Intelligent Systems

Intelligent Agriculture Risk Modeling and Optimization

Assoc. Prof. E. Trichkova-Kashamova, PhD

This session explores the role of intelligent systems in agricultural risk modeling and optimization to support smart and sustainable decision-making. Methodologies, tools, and case studies are examined that demonstrate how data analytics, modeling, artificial intelligence, and other advanced technologies can inform more effective and sustainable decisions across sectors. The session covers smart decision-making for resource allocation, mitigation of environmental impacts, economic growth, and the achievement of the Sustainable Development Goals.

AI, Games, and Gamification in Education

Prof. Julita Vassileva, PhD — University of Saskatchewan, Canada

Artificial intelligence is rapidly transforming educational environments, opening new opportunities to design adaptive, engaging, and personalized learning experiences. Games, gamification, and persuasive technologies represent a particularly promising frontier in this transformation, offering principled mechanisms to motivate students, sustain their attention, and cultivate deeper cognitive engagement. This special session brings together researchers and practitioners working at the intersection of intelligent systems, educational technology, and behavioral design to explore how AI can power the next generation of game-based and gamified learning environments. By leveraging AI's capacity to model learner behavior, adapt to individual needs, and deliver timely interventions, these systems hold the potential to make learning not only more effective but genuinely compelling.

A central challenge motivating this session is the growing phenomenon of cognitive offloading to AI — the tendency of students to delegate thinking, problem-solving, and reflection to AI tools rather than developing their own competencies. As large language models and AI assistants become ubiquitous in academic life, educators face an urgent need for pedagogical strategies and technological countermeasures that re-engage students as active, effortful learners. Games and gamification offer a powerful response: by embedding challenge, agency, narrative, and meaningful feedback into the learning process, they can rebuild intrinsic motivation, foster grit and perseverance, and scaffold the metacognitive skills — self-monitoring, planning, and reflection — that AI tools tend to bypass. This session invites work that critically examines, designs, and evaluates such systems, with an eye toward responsible, human-centered AI in education.

AI and Blockchain for Digital Preservation of Cultural Heritage

Dr. Ivan Lambov, IMI-BAS · Dr. Milena Dobreva, Strathclyde University, UK · Dr. Angel Marchev, UNWE

The invited session "AI and Blockchain for Digital Preservation of Cultural Heritage" explores emerging interdisciplinary approaches for safeguarding, documenting, and promoting cultural heritage in the digital era. The session focuses on the integration of artificial intelligence techniques, including machine learning, computer vision, and generative AI, with blockchain technologies that ensure authenticity, traceability, and secure ownership of cultural assets and archival data. Contributions are expected to address applications in museums, digital archives, smart tourism, virtual reconstruction, multilingual heritage preservation, and decentralized cultural data management. Particular attention will be given to ethical, legal, and societal challenges related to trust, accessibility, sustainability, and long-term preservation of digital cultural resources. By bringing together researchers, practitioners, and policymakers, the session aims to foster innovative collaborations and advance intelligent, transparent, and resilient solutions for preserving cultural heritage for future generations.