Exploring how intelligence emerges, adapts, and evolves—within and between minds.
We investigate which principles of intelligence generalise across living and artificial systems—and which depend on a system's body, environment, and history.
How do systems form goals, adapt, and develop new capabilities?
We investigate how goal-directed behaviour arises and develops in living and artificial systems. Artificial-life models and evolutionary approaches provide ways to study adaptation, the emergence of new capabilities, and the conditions for open-ended learning.
Work by Olaf Witkowski and collaborators that informs the lab's research programme. These publications predate NOOMA Labs.
Experiments with interacting language-model agents examine behavioural diversity, susceptibility to influence, and the limits of alignment.
A proof-of-principle biohybrid platform that couples Xenobot movement through sonification and acoustic signals.
An analysis of the relationship between computational creativity and open-ended evolution, identifying shared questions and conceptual distinctions.
A review of how biological, artificial, and cognitive systems can be defined, augmented, and integrated.
A method for synthesising vector drawings from text with a pretrained language–image encoder and no additional training.
NOOMA Labs is being established in Kyoto as an independent research laboratory, continuing and extending the scientific direction of Cross Labs (opens in a new tab).
Our programme connects foundational questions about agency, cognition, and adaptation with new approaches to learning, collective intelligence, and computation.
Research led by Olaf Witkowski (opens in a new tab).
We welcome enquiries from researchers and potential collaborators.
research@noomalabs.org