We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...