The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop
at the GECCO conference where new concepts and results regarding learning classifier …

Within this book chapter we summarize Learning Classifier Systems (LCSs), a family of rule-
based learning systems with a more than forty-year-long research history, and differentiate …

This study presents an application that offers an interactive representation of the learning
cycle of a learning classifier system (LCS), a rule-based machine learning technique. The …

For many everyday devices, each newly released model contains more functionality. This
technological advance relies heavily on software solutions of increasing complexity which …

Learning classifier systems (LCSs) are a state-of-the-art methodology for develo** rule-
based machine learning by applying discovery algorithms and learning components. LCSs …

Rule-based machine learning (RBML) models are often presumed to be very beneficial for
tasks where explainabil-ity of machine learning models is considered essential. However …

The design paradigm of computational self-awareness tackles the increasing complexity in
modern computing systems by moving design-time decisions to the runtime and into the …

Blighted properties management and prevention is a known wicked problem. Due to the
multi-dimensional nature of the issue and the solutions needed, the literature on smart cities …

Nous nous sommes intéressés au développement d'une intelligence artificielle autonome et
explicable pour des environnements incertains. Les tâches à résoudre par les intelligences …