I consider the question "How should one act when the only goal is to learn as much as possible?". Building on the theoretical results of Fedorov (1972, Theory of Optimal Experiments, Academic Press) and MacKay (1992, Neural Computation, 4, 590-604), I apply techniques from optimal experiment design (OED) to guide the query/action selection of a neural network learner. I demonstrate that these t...

When the number of data used for an identification experiment is small, the data contain transient effects and these effects contribute to the accuracy of the identified model. Consequently, when designing the optimal input signal for an identification experiment in the case of small data set, these transient effects have to be taken into account. In this paper, we present a methodology for opt...

Throughout history, symmetry has been widely explored as a geometric strategy to conceive architectural forms and spaces. Nonetheless, its concept has changed and expanded overtime, and its design exploration does not mean anymore the generation of simple and predictable solutions. By framing in history this idea, the present paper discusses the relevance of exploring symmetry in architectural ...

We have developed an automated system for the design of laboratory experiments in molecular biology. The system uses a planning method known as skeletal plan refinement that attempts to emulate the human cognitive task of experiment design. This paper describes the theory, history, and implementation of the design system and illustrates its function in the domain of DNA cloning experiments.

A core problem in many pipelined circuit designs is data-dependent data flow. We describe a methodology and a set of circuit modules to address this problem in the asynchronous domain. We call our methodology P**3, or “P cubed.” Items flowing through a set of FIFO datapaths can be conditionally steered under the control of data carried by other FIFOs. We have used the P**3 methodology to design...

Instead of the A/D converter design, you can also choose to work on a design project of your choice. Consult with the instructors about your project topic. This handout gives an introduction to A/D converter characteristics, testing, and A/D converter types. Characteristics common to all types of A/D converters are discussed in Section 1, together with a test circuit that can be used to verify ...

Optimal experiment design for parameter estimation is a research topic that has been in the interest of various studies. A key problem in optimal input design is that the optimal input depends on some unknown system parameters that are to be identified. Adaptive design is one of the fundamental routes to handle this problem. Although there exist a rich collection of results on adaptive experime...

Simulation of maneuvering and design of motion controls for marine systems require non-linear mathematical models, which often have more than one-hundred parameters. Model identiication is hence an extremely diicult task. This paper discusses experiment design for marine systems identiication and proposes a sensitivity approach to solve the practical experiment design problem. The applicability...

The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers from a statistical perspective. It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy. This d...

3 Usage 4 3.1 Designing experiment files . . . . . . . . . . . . . . . . . . . . 4 3.1.1 Basic JSON syntax . . . . . . . . . . . . . . . . . . . . 4 3.1.2 Combinations and alternatives (inner nodes) . . . . . 5 3.1.3 Leaf nodes . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.4 Post-processors . . . . . . . . . . . . . . . . . . . . . . 10 3.2 The j2r command line tool . . . . . . . . . . ...