Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
This paper considers distributed systems, defined as a collection of components interacting through interfaces. Components, interfaces and distributed systems are modeled as Petri...
Abstract. Category Theory is introduced as the mathematical model for object-oriented systems which are distributed, heterogeneous, real-time, embedded, and open-ended. Each object...
Swarm is a computational model which extends the UNITY model in three important ways: (1) UNITY’s fixed set of variables is replaced by an unbounded set of tuples which are add...
Event-driven systems are used in a wide range of applications such as responding to missile attacks, interdicting potential terrorists, exploiting arbitrage opportunities and resp...
K. Mani Chandy, Michel Charpentier, Agostino Cappo...