In this paper we study the issue of progress for distributed timed systems modeled as the parallel composition of timed automata. We clarify the requirements of discrete progress (...
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Abstract. We present a language,Hybrid cc, for modeling hybrid systems compositionally. This language is declarative, with programs being understood as logical formulas that place ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat,...
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh's Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). ...