If complexity is your problem, learning classifier systems (LCSs) may offer a solution. These
rule‐based, multifaceted, machine learning algorithms originated and have evolved in the …

Agent-based simulation has become increasingly popular as a modeling approach in the
social sciences because it enables researchers to build models where individual entities …

In the past decade, Explainable Artificial Intelligence (XAI) has attracted a great interest in
the research community, motivated by the need for explanations in critical AI applications …

We describe and compare several methods for generating game character controllers that
mimic the playing style of a particular human player, or of a population of human players …

Complexity is commonly summarized as 'the actions of the whole are more than the sum of
the actions of the parts'. Understanding how the coherence emerges from these natural and …

Games are becoming increasingly indispensable, not only for fun but also to support tasks
that are more serious, such as education, strategic planning, and understanding of complex …

This study presents an intelligent solution for load‐frequency control in a restructured power
system using a modified traditional frequency response model, suitable for a bilateral‐based …

Currently when path planning is used in SLAM it is to benefit SLAM only, with no mutual
benefit for path planning. Furthermore, SLAM algorithms are generally implemented and …

The work deals with the distributed machine learning. Distributed learning from data is
considered to be an important challenge faced by researchers and practice in the domain of …

This article describes Decentralised Emergence Detection (DETect), a novel distributed
algorithm that enables agents to collaboratively detect emergent events in Complex …