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The basis of science is the hypothetico-deductive method and the recording of experiments in sufficient detail to enable reproducibility. We report the development of Robot Scientist "Adam," which advances the automation of both. Adam has autonomously generated functional genomics hypotheses about the yeast Saccharomyces cerevisiae and experimentally tested(More)
We review the main components of autonomous scientific discovery, and how they lead to the concept of a Robot Scientist. This is a system which uses techniques from artificial intelligence to automate all aspects of the scientific discovery process: it generates hypotheses from a computer model of the domain, designs experiments to test these hypotheses,(More)
Much useful information in news reports is often that which is surprising or unexpected. In other words, we harbour many expectations about the world, and when any of these expectation are violated (i.e. made inconsistent) by news, we have a strong indicator of some information that is interesting for us. In this paper we present a framework for identifying(More)
IN THE NEWS OF THE WEEK STORY BY J. COUZIN-FRANKEL AND R. KOENIG (“EXPANDED U.S. DRUG agency to control tobacco,” 19 June, p. 1497), Gregory Connolly points out that promoting lesstoxic cigarettes has not been shown to reduce tobacco-related death and disease. In fact, promoting the use of cigarettes containing lower levels of nicotine may even increase(More)
The number of news reports published online is now so great that it is impossible for any person to read all of them. Not all of these reports are equally interesting. Automating the identification and evaluation of interest in news is therefore a potentially valuable goal. Traditional methods of information management such as information filtering,(More)
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Additionally, our Robot Scientist is able to execute experiments that have been requested by human biologists. There arises a multi-objective problem in the selection of batches of(More)
Information extraction is the process of automatically identifying facts of interest from pieces of text, and so transforming free text into a structured database. Past work has often been successful but ad hoc, and in this paper we propose a more formal basis from which to discuss information extraction. We introduce a framework which will allow(More)
doi Andrew Sparkes,* Ross D. King, Wayne Aubrey, Michael Benway, Emma Byrne, Amanda Clare, Maria Liakata, Magdalena Markham, Kenneth E. Whelan, Michael Young, and Jem Rowland Department of Computer Science, Aberystwyth University Institute of Biological, Environmental and Rural Sciences, Aberystwyth University Automated Systems, Caliper Life Sciences,(More)
A monomeric arsinogallane containing a covalent gallium-arsenic bond has been prepared, and its molecular structure has been determined by x-ray crystallography. The compound reacted with tert-butanol at ambient temperature to yield the III-V semiconductor gallium arsenide as a finely divided amorphous solid. During the initial stages of the reaction small(More)