Search results for "knowledge"
showing 10 items of 3108 documents
Artificial intelligence techniques for cancer treatment planning
1988
An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.
Knowledge Acquisition in Conceptual Ontological Artificial Intelligence System
2009
The paper deals with active knowledge acquisition based on dialogue between AI system and its user. Presented method uses Conceptual Ontological Object Orientated System (COOS) to distinguish differences between concepts and to unequivocally process the input stream. In case of concepts, that do not exist in the system yet, adequate algorithms are being used to position them in ontological core. Separate concepts differ in attributes values or in sets of direct connections with other concepts. The communication aspect of the system deliver information that allow generating proper interpretation for userpsilas statement.
An associative link from geometric to symbolic representations in artificial vision
1991
Recent approaches to modelling the reference of internal symbolic representations of intelligent systems suggest to consider a computational level of a subsymbolic kind. In this paper the integration between symbolic and subsymbolic processing is approached in the framework of the research work currently carried on by the authors in the field of artificial vision. An associative mapping mechanism is defined in order to relate the constructs of the symbolic representation to a geometric model of the observed scene.
Hybrid architecture for shape reconstruction and object recognition
1998
The proposed architecture is aimed to recover 3-D- shape information from gray-level images of a scene; to build a geometric representation of the scene in terms of geometric primitives; and to reason about the scene. The novelty of the architecture is in fact the integration of different approaches: symbolic reasoning techniques typical of knowledge representation in artificial intelligence, algorithmic capabilities typical of artificial vision schemes, and analogue techniques typical of artificial neural networks. Experimental results obtained by means of an implemented version of the proposed architecture acting on real scene images are reported to illustrate the system capabilities.
Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine
2020
The rapid deployment in information and communication technologies and internet-based services have made anomaly based network intrusion detection ever so important for safeguarding systems from novel attack vectors. To this date, various machine learning mechanisms have been considered to build intrusion detection systems. However, achieving an acceptable level of classification accuracy while preserving the interpretability of the classification has always been a challenge. In this paper, we propose an efficient anomaly based intrusion detection mechanism based on the Tsetlin Machine (TM). We have evaluated the proposed mechanism over the Knowledge Discovery and Data Mining 1999 (KDD’99) …
Discovering representative models in large time series databases
2004
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical observations could allow to perform diagnosis and/or prognosis. Moreover, the efficient discovery of frequent patterns may play an important role in several data mining tasks such as association rule discovery, clustering and classification. However, in order to identify interesting repetitions, it is necessary to allow errors in the matching patterns; in this context, it is difficult to select one pattern particularly suited to represent the set of similar ones, whereas modelling this set with a single model could…
Current trends in scientific research on global warming: A bibliometric analysis
2019
[EN] The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming, as well as to investigate the evolution of the research knowledge through the published papers included in Web of Science database. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. A number of 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n = 95) and the most f…
Investigating student nurses' constructions of health promotion in nursing education
2001
This article describes student nurses' constructions of health promotion and the change of these constructions during their nursing education in two Finnish polytechnics. The data consisted of essays written by the 19 student nurses before they began their nursing education in 1997 and of stimulated recall interviews with the same students during the second year of their education in 1998. The data were analyzed by using thematic analysis. During the first study year, 13 students' constructions of health promotion changed. Six students had initially broad constructions of health promotion and their constructions remained unchanged. Four basic changes were found in the students' construction…
Creating Attractive Places for Whom? A Discourse-Theoretical Approach to Knowledge and Planning
2013
We aim to find a way to produce knowledge of attractiveness of place that is representative of the variety and complexity of what attractiveness entails and the same time productive for place development and planning. On the basis of a study of an INTERREG IV A-project in Norway, we question how and by whom the discourse regarding what is attractive about places is constructed and how the implicit or explicit knowledge is treated in local planning. We find that planning must produce knowledge in which the different narratives about place confront each other, and highlight differences and mutual debate between adversaries. We conclude by arguing the case for applying a model of agonistic plu…
Present State of Research Regarding University Choice and Attractiveness of the Study Area
2013
Abstract The purpose of this paper is to present the present state, trends and focus of research regarding the factors that influence the decision making process in choosing a university in which a potential student will study. The study has been accomplished using the methodology of bibliographic study and qualitative research, using various secondary sources. The study focuses on the analysis of the present state of research concentrated on Germany's area and constitutes the basis of a comparative management research Romania-Germany. From various German studies it is shown that for most of the students the most important factor in choosing their university is represented by the study spec…