Объектно-атрибутный подход для реализации систем искусственного интеллекта
A new computer architecture named object-attribute is offered in the article. Computer of the architecture have all necessary properties for Artificial Intelligence: abstraction of data and program, height concurrency, isomorphism of data and program (i.e. possibility of painless changing of program and data structures), training and self-training of computer system, dataflow, integration of data and program, generation of object description from simple description to complex description, implementation of distribute computer system.
The methodological aspects of the knowledge base of expert system.
This volume contains the papers presented at CS&P 2014: 23th International Workshop on Concurrency, Specification and Programming held on September 28 - October 1, 2014 in Chemnitz. Since the early seventies Warsaw University and Humboldt-University have alternately organized an annual workshop - since 1993 as CS&P. Over time, it has grown from a bilateral seminar to a meeting attended also by colleagues from other countries than Poland and Germany. This year there are 34 participants from 10 countries.
Recently there has appeared an increased necessity in publishing research results in the English language to share knowledge and experience. International scientific journals put certain requirements to the quality of the language; therefore, there arise problems concerning the standards of English as a means of scientific publication. It is known that academic style is characterized by formality, logical, coherent and cohesive presentation of arguments, abstraction, nominality, accuracy and the objective attitude of the author to facts stated. These characteristics can be achieved through various techniques of the English language, in particular, through lexical, morphological and syntactic features, which are discussed in the article. Awareness of the English lexical-grammatical system and stylistic peculiarities is considered as a necessary condition for successful inclusion in the scientific world community.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.