We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
Methods for automatically managing the performance of computing services must estimate a performance model of that service. This paper explores properties that are necessary for p...
This paper presents a dynamic technique for predicting the e ect that a location" of a program will have on the program's computational behavior. The technique is based ...