REGISTRATION – Coming soon!
In this fifth workshop, we continue to explore an expanding field of research that attempts to build systems that can learn without human intervention and with little or no hard-wired knowledge, as would a newborn child or animal. Last year’s workshop in Oxford was consecutive with the IWAI workshop in Oxford that enabled many of us to benefit from both. This year we are consecutive with AGI2025. Some of us believe that self-guided developmental learning is a more likely approach to succeed in reaching the AGI goal than other contemporary efforts. This will be a discussion topic for this years workshop. What advances do we require to get there? Scaling will be a topic for this year’s workshop. If we succeed in reaching AGI through a developmental learning approach, we should start considering ethical issues. Ethics will be a discussion topic for the workshop too.
How do intelligent systems, such as humans and software agents, learn about the world? They should primarily learn about themselves and their environment and how the two interact effectively through exploration and self-motivated experimentation. Many learning systems being proposed continue to ignore the fundamental mechanisms underlying self-motivated learning through experience in the open world that could ultimately lead to intelligent behaviors such as (for example) how to recognize objects through visual and other senses, how to move another object to reach an object otherwise out of reach, and how to use those objects as tools, by experimenting. Higher-level learning (e.g.) the use of specialized tools, can be taught both by example and by building upon existing learned competencies. Historically, this approach has seemed difficult due to the run-time computation burden and the need for large memories. In addition, training time has been seen as limiting. Today, processors are more powerful and cheaper, and large memories are increasingly less of an obstacle.
As with prior workshops, abstracts are requested before the workshop, and final versions of papers will be due after the workshop for publication in the workshop proceedings.
This is a workshop with a primary goal of discussion. The abstracts are intended to stimulate and focus discussion. Authors wishing to publish an extended version of their abstracts as a paper in our published volume are invited to submit post-workshop papers, but a paper or abstract is not a requirement for attendance. All received papers will be reviewed by the program committee, and authors can submit enhanced versions that incorporate the results of workshop discussions and considering reviewers’ comments. We aim to discuss important issues in Situated Self-guided Learning and share our workshop results as a proceedings volume.
Topics
Abstracts and papers will be accepted in all relevant areas, including, but not limited to, the following:
• Developmental learning approaches to achieving AGI
• Ethitical considerations for Self-guided intelligent agents
• Scaling developmental learning to address real-world sized domains
• Developmental approaches to other intelligences, such as social intelligence and emotional intelligence.
• Grounded learning, representations, and algorithms
• Online learning, representations, and algorithms
• Intrinsic motivations
• Inspirations for animal and human intelligence
• Developmental and constructivist learning; Integrated language and visual learning.
Important dates (all dates are end-of-day AOE)
Coming soon
Program
Coming soon
Prior Workshop Proceedings
Proceedings from IWSSL2024 coming soon!
• Volume 192 Proceedings of the Third IWSSL Workshop
• Volume 159 Proceedings of the Second IWSSL Workshop
• Volume 131 Proceedings of the First IWSSL Workshop
Publication
Details coming soon
Organizing Committee
• Professor Kristinn Thorisson (Reykjavik University Professor)
. Olivier Georgeon (Catholic University of Lyon, UCLy)
• Dr. Paul Robertson (DOLL Inc.)
• Dr. Cyrus Shaoul (Leela.ai)
• Henry Minsky (Leela.ai)
• Dr. Robert Laddaga (DOLL Inc.)
