We study the problem of causal structure learning when the experimenter is limited to perform at most k non-adaptive experiments of size 1. We formulate the problem of finding the best intervention target set as an optimization problem, which aims to maximize the average number of edges whose directions are resolved. We prove that the objective function is submodular and a greedy algorithm is a...

MOTIVATION Systems biology employs mathematical modelling to further our understanding of biochemical pathways. Since the amount of experimental data on which the models are parameterized is often limited, these models exhibit large uncertainty in both parameters and predictions. Statistical methods can be used to select experiments that will reduce such uncertainty in an optimal manner. Howeve...

In this paper we discuss the divertor design for the planned TPX tokamak, which will explore the physics and technology of steady state (1000 s pulses) heat and particle removal in high confinement (up to 4 × L-mode), high beta (up to /3 N = 5) divertor plasmas sustained by non-inductive current drive. TPX will operate in the double-null divertor configuration, with actively cooled graphite tar...

System-level design pertains to questions of product or system architecture, configuration, and layout; and as such, provides an important bridge between conceptual engineering design work and detailed design decisions. Prior research indicates that this phase of design is important to successful outcomes of design processes, yet it is not well understood. This paper reports the development and...

We present eman, a tool for managing large numbers of computational experiments. Over the years of our research in machine translation (MT), we have collected a couple of ideas for efficient experimenting. We believe these ideas are generally applicable in (computational) research of any field. We incorporated them into eman in order to make them available in a command-line Unix environment. Th...

A business model is a representation of an organization with a particular point of view. It is common to find different types of models to describe the business. However, methods to create business models representing an economic point of view have only emerged over the last few years in the scientific community. Such methods aid business specialists improving the economics understanding of the...

To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-guided agents and human-controlled avatars coexist in a shared virtual space and jointly perform simulations, and the extension of the participatory simulation into the 2) augmented experiment, where an experiment is p...

Virtual reality technology is reported that the use of virtual reality(VR) as an educational tool can increase student interests, understanding and creative learning because of encouraging students to learn by exploring and interacting with the information on virtual environments. This paper presents the virtual experiment (VE) environments for science education using virtual reality simulation...

In this contribution we extend a recently developed framework for open loop input design to closed loop experiment design. More specifically, for the very common situation of a fixed controller during the identification experiment, the framework is extended to the design of an optimal reference signal spectrum and also to cope with closed loop signal constraints. In a further extension also the...