Abstract. The success of DEVS methods for simulating large continuous models calls for more in-depth examination of the applicability of discrete events in modeling continuous phen...
Bernard P. Zeigler, Rajanikanth Jammalamadaka, Sal...
In this paper we show how the classical job-shop scheduling problem can be modeled as a special class of acyclic timed automata. Finding an optimal schedule corresponds, then, to n...
An experimental study is presented in which participants perform impact analysis on alternate forms of design record information. The primary objective of the research is to asses...
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
I In this paper we present algorithms for the interpretation and generation of a kind of particularized conversational implicature occurring in certain indirect replies. Our algori...