A critical aspect of evolution is the layer of developmental physiology that operates between
the genotype and the anatomical phenotype. While much work has addressed the evolution …

The applicability of computational models to the biological world is an active topic of debate.
We argue that a useful path forward results from abandoning hard boundaries between …

Is reduction always a good scientific strategy? The existence of the special sciences above
physics suggests not. Previous research has shown that dimensionality reduction …

Causal models of agents have been used to analyse the safety aspects of machine learning
systems. But identifying agents is non-trivial–often the causal model is just assumed by the …

The connectivity of a network contains information about the relationships between nodes,
which can denote interactions, associations, or dependencies. We show that this information …

Information processing in neural systems can be described and analyzed at multiple
spatiotemporal scales. Generally, information at lower levels is more fine-grained but can be …

We show how any finite physical system with morphological, ie three-dimensional
embedding or shape, degrees of freedom and locally limited free energy will, under the …

Complex Networks theory represents a powerful tool to model real-world systems as graphs
with non-trivial topological features. Static by their definition, complex networks are limited to …

Information geometry has offered a way to formally study the efficacy of scientific models by
quantifying the impact of model parameters on the predicted effects. However, there has …

A distinction often drawn in the literature on emergence is that between epistemological
emergence and ontological emergence. I argue that the position that there are instances of …