We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four
categories: road, grass, buildings, and trees. To do so we use five features: height, height …

Exploring the core components that define living systems and their operational mechanisms
within emerging biological entities is a complex endeavor. In the realm of biological systems …

In honor of Alan Turing's hundredth birthday, I unwisely set out some thoughts about one of
Turing's obsessions throughout his life, the question of physics and free will. I focus relatively …

Algorithmic statistics has two different (and almost orthogonal) motivations. From the
philosophical point of view, it tries to formalize how the statistics works and why some …

In contrast to entropy, which increases monotonically, the" complexity" or" interestingness" of
closed systems seems intuitively to increase at first and then decrease as equilibrium is …

Is undecidability a requirement for open-ended evolution (OEE)? Using methods derived
from algorithmic complexity theory, we propose robust computational definitions of open …

Effective complexity measures the information content of the regularities of an object. It has
been introduced by Gell-Mann and Lloyd to avoid some of the disadvantages of Kolmogorov …

We show how complexity theory can be introduced in machine learning to help bring
together apparently disparate areas of current research. We show that this model-driven …

The fields of Origin of Life and Artificial Life both question what life is and how it emerges
from a distinct set of" pre-life" dynamics. One common feature of most substrates where life …

Can we attribute creativity to an artifact by examining its computational history? What can be
said about its value and novelty if the artifact is computationally laborious and interesting …