Regularities, or the conformity to unifying principles, are essential to the comprehensibility, manageability and reliability of large software systems, and should, therefore, be considered an important element of their architecture. But the inherent globality of regularities makes them very hard to implement in traditional methods. We have argued previously that this di culty can be alleviated...

Meaningful objects in a scene move with purpose. In this work, a Hidden Markov Model is used to represent the “hidden” regularities behind the apparent object movement in a scene and reproduce such regularities as “blind” expectations. By adapting the weights on beliefs with new visual evidence, an Augmented Hidden Markov Model is used to produce dynamic expectations of moving objects in the sc...

The classifier system XCSF was modified to use gene expression programming for the evolution and functioning of the classifier conditions. The aim was to fit environmental regularities better than is typically possible with conventional rectilinear conditions. An initial experiment approximating a nonlinear oblique environment showed excellent fit to the regularities.

Many planning problems can be framed as Markov decision processes (MDPs). In this paper we discuss situations where regularities in states and variables lead to compact MDPs, particularly when variables have many categories and strong interrelation. We develop techniques that generate optimal policies by exploiting regularities in MDPs. We illustrate these ideas with a real problem on managemen...

To discover regularities in human mobility is of fundamental importance to our understanding of urban dynamics, and essential to city and transport planning, urban management and policymaking. Previous research has revealed universal regularities at mainly aggregated spatio-temporal scales but when we zoom into finer scales, considerable heterogeneity and diversity is observed instead. The fund...

Regularities are prevalent in many aspects of the environment. How does the visual system extract structured information from multiple sources? One possibility is that the visual system selectively focuses on one source. Alternatively, it may incorporate all sources to form a weighted representation of the regularities. To address this question, we generated matrices containing cells that varie...