on these, including a parser and an interpreter. A case study is also discussed, namely the K definition of the dynamic and static semantics of SIMPLE, a non-trivial imperative programming language. The material discussed in this paper was presented in an invited talk at the K'11 workshop.

control and feedback. The paper concludes by presenting a simple case study to illustrate a cognitive network and its framework.

this paper, we will describe a simple rule-based approach to automated learning of linguistic knowledge. This approach has been shown for a number of tasks to capture information in a clearer and more direct fashion without a compromise in performance. We present a detailed case study

When I first became interested in in-depth case-study research, I was trying to understand how power and rationality shape each other and form the urban environments in which we live (Flyvbjerg, 1998). It was clear to me that in order to understand a complex issue like this, in-depth case-study

This paper examines properties of daily stock returns and how the particular characteristics of these data affect event study methodologies. Daily data generally present few difficulties for event studies. Standard procedures are typically well-specified even when special daily data characteris

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. The consecutive scores are plotted from the amino to the carboxy terminus. At the same time, a midpoint line is printed that corresponds to the grand average of the hydropathy of the amino acid compositions found in most of the sequenced proteins. In the case of soluble, globular proteins there is a remarkable

very simple network leads to some interesting mathematics, results, and open problems.

. These and previously proposed estimators of cointegrating vectors are used to study long-run U.S. money (Ml) demand. Ml demand is found to be stable over 1900-1989; the 95 % confidence intervals for the income elasticity and interest rate semielasticity are (.88,1.06) and (-.13,-.08), respectively. Estimates based

to the machine learning community. There are in the literature some indications that very simple rules may achieve surprisingly high accuracy on many datasets. For example, Rendell occasionally remarks that many real world datasets have "few peaks (often just one) " and so are &