We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
This paper presents a novel methodology for deriving the dynamic equations of mechatronic systems from component models that are represented as linear graphs. This work is part of...
Antonio Diaz-Calderon, Christiaan J. J. Paredis, P...
A closed-loop contaminant plume monitoring system is being developed that integrates wireless sensor network based monitoring with numerical models for subsurface plumes. The syst...
Qi Han, Anura P. Jayasumana, Tissa H. Illangasekar...
In this paper we discuss the role of a broker in a market-oriented resource allocation model for largescale heterogeneous systems. The simplified model is based upon a three part...
Abstract. We present a compositional trace-based model for probabilistic systems. The behavior of a system with probabilistic choice is a stochasticprocess, namely, a probability d...