—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...
Abstract. In this paper we focus on the problem of testing agent programs written in BUpL, an executable, high-level modelling agent language. Our approach consists of two main ste...
Lacramioara Astefanoaei, Frank S. de Boer, M. Birn...
This paper presents work that uses Transductive Latent Semantic Indexing (LSI) for text classification. In addition to relying on labeled training data, we improve classification ...
Within the law, the traditional test for attributing causal responsibility is the counterfactual “but-for” test, which asks whether the injury complained of would have occurre...
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are g...