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CALL FOR PAPERS - IEEE ICDL 2025 2nd AI-COGDEV WORKSHOP
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Call for AI-CogDev - "Architecting Intelligence: Exploring Intersections in Cognitive Robotics and Developmental Learning" workshop.
IEEE International Conference on Development and Learning (ICDL 2025)
September 16th, Prague, Czech Republic
=== Important dates ===
Submission deadline: June 27th, 2025
Notification of acceptance: July 11th, 2025
Camera-ready deadline: August 1st, 2025
Workshop date and time: September 16th, 2025 - 14:00 - 17:30
Workshop website: https://sites.google.com/view/aicogdev-workshop
=== Why Developmental Cognitive Architectures Matter ===
Humans are perhaps the most adaptable species on Earth—not because we are inherently the best at any one thing, but because we excel at learning. We don’t come equipped with a perfect model of the world; instead, we continuously update our partial understanding through experience. We can’t read minds, but we learn to interpret others’ behaviors and intentions through interaction and empathy.
As researchers, we build models that capture some of the brain’s inner workings, describe its functional components, and replicate isolated behaviors in controlled environments. But to bring these models into the complex, ever-changing real world, we must go beyond static systems. We must design adaptive, developmental architectures—systems that grow, learn, and evolve, much like human infants do.
This workshop seeks to revitalize the conversation around Developmental Cognitive Architectures, creating a space for both established experts and emerging researchers to exchange ideas, share insights, and explore how we can shape the future of intelligent, autonomous systems.
We warmly invite all those curious about the intersection of learning, cognition, and robotics to join us in this important discussion.
Topics of interest include, but are definitely not limited to:
Cognitive Architectures applied to real or simulated embodiments
Developmental Learning and Developmental Robotics
Symbol grounding and concept emergence in autonomous systems
Open-ended Reinforcement Learning
Intrinsically Motivated Learning
Affection and Cognition in Development
Ethical and trust considerations of developmental agents in real-world scenarios
Brain/Psychologically -inspired development/ computational intelligence
=== Call for Contributions ===
To encourage rich and thought-provoking discussions on the theme of learning, especially at the intersection of Cognitive Architectures and Developmental AI, we warmly invite participants to submit their contributions to the workshop.
We welcome a variety of submission formats, including:
Extended abstracts (2 to 4 pages)
Short position papers (1 page)
In addition to state-of-the-art research, we strongly encourage submissions that include works in progress, preliminary findings, and critical reflections or position papers. This inclusive format aims to foster dialogue and highlight emerging ideas that may serve as valuable springboards for the workshop's panel discussions.
We look forward to your insights and to shaping this conversation together.
=== Organizers ===
Letícia Mara Berto, University of Campinas, Brazil
Marco Gabriele Fedozzi, University of Genova and Italian Institute of Technology, Italy
Renan Baima, University of Luxembourg, Luxembourg