Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
Well designed models can provide timely answers and summarize understanding of complex systems. Simple use cases can illustrate the applicability and inferences possible with even...
Failures triggered by hard to debug defects usually involve complex interactions between many program elements. We hypothesize that information flows present a good model for such ...
Abstract— We present an algorithm for collision-free navigation of multiple flying robots in three-dimensional workspace. Our approach extends the model of a simple car to a sim...
This paper reports on an on-going project to investigate techniques to diagnose complex dynamical systems that are modeled as hybrid systems. In particular, we examine continuous s...
Sheila A. McIlraith, Gautam Biswas, Dan Clancy, Vi...