In this contribution we present investigations about the use of computational intelligence for toxicity prediction of pesticides. Therefore different molecular descriptors are computed and the correlation behavior of the different descriptors in the descriptor space is studied. In a first step 164 pesticides are considered and 175 descriptors are taken into account. From this set of data prelim...

In this paper we propose a novel intelligent control scheme that involves a cluster of Agents embedded in an Intelligent Co-ordinator. The resultant Intelligent Co-ordinator can be added to any existing wastewater treatment plant supervisory control and data acquisition system. In the proposed approach use is made of Computational Intelligence techniques and Qualitative Control. The work report...

Although the computational perspective on cognitive tasks has always played a major role in Artiicial Intelligence, the interest in the precise determination of the computational costs that are required for solving typical AI problems has grown only recently. In this paper, we will describe what insights a computational complexity analysis can provide and what methods are available to deal with...

New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling appr...

The first paper by Polkowski and Artiemjew, entitled “On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology” presents basic ideas of rough mereology and a description of basic similarity measures called rough inclusions along with the idea of granulated data sets. It then discusses how to construct classifiers from granular data and obtain results...

Condition monitoring techniques are described in this chapter. Two aspects of condition monitoring process are considered: (1) feature extraction; and (2) condition classification. Feature extraction methods described and implemented are fractals, Kurtosis and Melfrequency Cepstral Coefficients. Classification methods described and implemented are support vector machines (SVM), hidden Markov mo...

Software testing is an important technique for achieving some degree of software quality. It accounts for anything between 50 75% of the development cost (Hailpern & Santhanarn, 2002). The three main types of activities associated with software testing are: (1) test case generation, (2) test execution involving the use of test cases with the software under test (SUT) and (3) evaluation of test ...