Natural language is often seen as the single factor that explains the cognitive singularity of
the human species. Instead, we propose that humans possess multiple internal languages …

Much of perception, learning and high-level cognition involves finding patterns in data. But
there are always infinitely many patterns compatible with any finite amount of data. How …

Abstract Machine learning (ML) is the fastest growing field in computer science, and health
informatics is among the greatest challenges. The goal of ML is to develop algorithms which …

In various cultures and at all spatial scales, humans produce a rich complexity of geometric
shapes such as lines, circles or spirals. Here, we propose that humans possess a language …

An investigation of how children balance rules and exceptions when they learn languages.
All languages have exceptions alongside overarching rules and regularities. How does a …

Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …

Abstract SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network)
is a model of how humans learn categories from examples. SUSTAIN initially assumes a …

Written by prominent experts in the field, this monograph provides the first comprehensive,
unified presentation of the structural, algorithmic and applied aspects of the theory of …

Recent years have seen a boom in interest in interpretable machine learning systems built
on models that can be understood, at least to some degree, by domain experts. However …

With the large increase in online instruction, including remote instruction with online
materials during the COVID-19 pandemic, there also was an increase in the use of …