In [4], Freuderdefines several types of interchangeability to capture the equivalenceamongthe valuesof a variable in a discrete constraint satisfaction problem(CSP), and provides ...
SSFisasystemtodiscoverthestructureofsimultaneous equations governing an objective process through experiments. SSF combined with another system SDS to discover a quantitative form...
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
The Rete and Treat algorithms are considered the most efficient implementation techniques for Forward Chaining rule systems. These algorithms support a language of limited express...