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.

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.

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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