scholarly journals Special issue on future directions for intelligent information systems

2014 ◽  
Vol 43 (3) ◽  
pp. 409-410
Author(s):  
Larry Kerschberg ◽  
Zbigniew Ras
Keyword(s):  
Information Systems ◽  
Special Issue ◽  
Future Directions ◽  
Intelligent Information Systems ◽  
Intelligent Information

Special issue on applied intelligent information systems

2010 ◽  
Vol 32 (2) ◽  
pp. 147-147
Author(s):  
Ngoc Thanh Nguyen ◽  
Radosław Katarzyniak ◽  
Adam Janiak
Keyword(s):  
Information Systems ◽  
Special Issue ◽  
Intelligent Information Systems ◽  
Intelligent Information

Special issue on intelligent information systems for financial engineering

2006 ◽  
Vol 30 (3) ◽  
pp. 413-414
Author(s):  
Bart Baesens ◽  
Christophe Mues ◽  
Tony Van Gestel ◽  
Jan Vanthienen
Keyword(s):  
Information Systems ◽  
Financial Engineering ◽  
Special Issue ◽  
Intelligent Information Systems ◽  
Intelligent Information

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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