On explaining creativity
This paper critiques the limitations of current causal paradigms in understanding creativity and innovation, linking them to the broader concept of emergence while arguing that biological evolution and human creativity have distinct causal structures
On interactions between dynamical systems
This paper presents a method to infer the dynamics and interaction of an unknown system T with a known system S, contributing to the theory of measurement and its applications in biological contexts
On models and modeling
Biological modeling should acknowledge the constraints of simulation and reductionism
On non-quantum quantization
The limitations of quantum theory, rooted in Hamilton's Principle, highlight its inadequacy in addressing the nonlinear complexities of self-organization in biological systems
On psychomimesis
This paper critiques the mind-brain problem through the lens of mimesis, arguing against the validity of the Turing Test by asserting that behavioral similarity does not equate to identical causal mechanisms in intelligent systems
No results yet, but the collection is still growing ;)
