Models and intelligent systems

2020 ◽  
Author(s):  
Boris Odincov
Keyword(s):  
Information Systems ◽  
Intelligent Systems ◽  
Business Processes ◽  
Academic Disciplines ◽  
Intended Meaning ◽  
Intelligent Information Systems ◽  
New Concepts ◽  
Business Efficiency ◽  
Intelligent Information ◽  
Theoretical Foundations

The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used. The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discusses difficulties in the development of the classical approach, associated with identifying the meaning of words, phrases, text, and formulating thoughts. The analysis of problems arising in the play of imagination and insight, machine understanding of natural language texts, play, verbalization and reflection. The third Chapter contains examples of the development of intelligent information systems and technologies in practice of management of economic objects. Theoretical bases of construction of information robots designed to support the task hierarchy of the knowledge base and generating control regulations. The technology of their creation and application in the management of the business efficiency of enterprise business processes and its investment activities. Focused on researchers and developers, AI and intelligent information systems, as well as graduate students and faculty in related academic disciplines.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

scholarly journals Self-Organization and Adaptation in Intelligent Systems

1998 ◽  
Vol 2 (6) ◽  
pp. 177-177
Author(s):  
Nikola Kasabov ◽  
◽  
Robert Kozma ◽  
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Intelligent Systems ◽  
Adaptive Systems ◽  
Hebbian Learning ◽  
Intelligent System ◽  
Self Organizing Maps ◽  
Intelligent Information Systems ◽  
Intelligent Information ◽  
Self Organizing

This special issue is devoted to one of the important topics of current intelligent information systems-their ability to adapt to the environment they operate in, as adaptation is one of the most important features of intelligence. Several milestones in the literature on adaptive systems mark the development in this area. The Hebbian learning rule,1) self-organizing maps,2,3) and adaptive resonance theory4) have influenced the research in this area a great deal. Some current development suggests methods for building adaptive neurofuzzy systems,5) and adaptive self-organizing systems based on principles from biological brains.6) The papers in this issue are organized as follows: The first two papers present material on organization and adaptation in the human brain. The third paper, by Kasabov, presents a novel approach to building open structured adaptive systems for on-line adaptation called evolving connectionist systems. The fourth paper by Kawahara and Saito suggests a method for building virtually connected adaptive cell structures. Papers 5 and 6 discuss the use of genetic algorithms and evolutionary computation for optimizing and adapting the structure of an intelligent system. The last two papers suggest methods for adaptive learning of a sequence of data in a feed-forward neural network that has a fixed structure. References: 1) D.O. Hebb, "The Organization of Behavior," Jwiley, New York, (1949). 2) T. Kohonen, "Self-organisation and associative memory," Springer-Verlag, Berlin, (1988). 3) T. Kohonen, "Self-Organizing Maps, second edition," Springer Verlag, (1997). 4) G. Carpenter and S. Grossberg, "Pattern recognition by self-organizing neural networks," The MIT Press, Cambridge, Massachusetts, (1991). 5) N. Kasabov, "Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering," The MIT Press, CA, MA, (1996). 6) S. Amari and N. Kasabov "Brain-like Computing and Intelligent Information Systems," Springer Verlag, Singapore, (1997).

scholarly journals THE ROLE OF INTELLIGENT INFORMATION SYSTEMS IN THE MODERN WORLD

2021 ◽  
Author(s):  
И.Р. Усамов ◽  
А.А. Албакова ◽  
А.А. Мустиев
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Intelligent Systems ◽  
Quality Of Services ◽  
Modern World ◽  
Intelligent Information Systems ◽  
Intelligent Information ◽  
The Moment

Статья посвящена рассмотрению роли интеллектуальных информационных систем в современном мире. Проведен анализ и рассмотрена сущность интеллектуальных систем, отрасли использования интеллектуальных систем, выделены проблемы внедрения интеллектуальных информационных систем и предложены механизмы решения проблем внедрения интеллектуальных информационных систем. Рассмотрены основные отрасли, где используются интеллектуальные информационные системы для повышения скорости производства и улучшения качества оказываемых услуг. Рассмотрены основные три проблемы искусственного интеллекта, которые не решены на данный момент, и которые в будущем могут вызвать мировой хаос. Предложены механизмы решения данных трех проблем. The article is devoted to the role of intelligent information systems in the modern world. The article analyzes and considers the essence of intelligent systems, the branches of using intelligent systems, identifies the problems of implementing intelligent information systems, and suggests mechanisms for solving the problems of implementing intelligent information systems. The main industries where intelligent information systems are used to increase the speed of production and improve the quality of services provided are considered. The main three problems of artificial intelligence, which are not solved at the moment, and which in the future can cause global chaos, are considered. Mechanisms for solving the set here problems areproposed.

scholarly journals Bioheuristics: theory, algorithms and applications

2019 ◽  
Author(s):  
Sergei Ivanovich Rodzin ◽  
Iurii Aleksandrovich Skobtsov ◽  
Samer Adnan El'-Khatib
Keyword(s):  
Information Systems ◽  
System Analysis ◽  
Memetic Algorithms ◽  
Theory And Practice ◽  
Engineering System ◽  
Intelligent Information Systems ◽  
Current State ◽  
Processing Information ◽  
Intelligent Information ◽  
Theoretical Foundations

The book examines the current state and problems of bioheuristics development, biographical and memetic algorithms, the issues of finding optimal solutions by trajectory algorithms and bioheuristics of multicriteria optimization. Ant and swarm bioheuristics, their features and modifications are presented. Hybrid formic and hypeuruistic swarm segmentation algorithms of complexly structured images are considered as applications. The monograph is interdisciplinary, it is addressed to masters and graduate students studying the theory and practice of creating intelligent information systems and technologies, as well as specialists in the theoretical foundations of computer science, software engineering, system analysis, information management and processing, information systems and processes, bioinformatics.

Robust methods in analysis of natural language data

2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Automated Analysis ◽  
Approximate Analysis ◽  
Robust Methods ◽  
Analysis Techniques ◽  
Intelligent Information Systems ◽  
Recent Interest ◽  
Language Data ◽  
Intelligent Information

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.

scholarly journals Practices and applications in ambient and intelligent information systems

2017 ◽  
Vol 21 (6) ◽  
pp. 1039-1040
Author(s):  
Quan Z. Sheng ◽  
Wei Emma Zhang ◽  
Elhadi Shakshuki
Keyword(s):  
Information Systems ◽  
Intelligent Information Systems ◽  
Intelligent Information
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