A New Complexity Metric Based on Cognitive Informatics

2008 ◽  
pp. 620-627 ◽  
Author(s):  
Sanjay Misra ◽  
Ibrahim Akman
Keyword(s):  
Cognitive Informatics

Perspectives on Cognitive Informatics and Cognitive Computing

2010 ◽  
Vol 4 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Yingxu Wang ◽  
George Baciu ◽  
Yiyu Yao ◽  
Witold Kinsner ◽  
Keith Chan ◽  
...  
Keyword(s):  
Computational Linguistics ◽  
Computational Intelligence ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Intelligent Computing ◽  
Internal Information ◽  
Processing Mechanisms ◽  
The Brain ◽  
Science Information ◽  
Intelligence Science

Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set of collective perspectives on cognitive informatics and cognitive computing, as well as their applications in abstract intelligence, computational intelligence, computational linguistics, knowledge representation, symbiotic computing, granular computing, semantic computing, machine learning, and social computing.

Towards the Cognitive Informatics of Natural Language

2013 ◽  
Vol 7 (3) ◽  
pp. 25-45 ◽  
Author(s):  
J. M. Taylor ◽  
V. Raskin
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Cognitive Processes ◽  
Computational Analysis ◽  
Computer Experiment ◽  
Cognitive Computing ◽  
Cognitive Informatics ◽  
Cognitive Behaviors ◽  
Computational Humor ◽  
The Relationship

This paper deals with a contribution of computational analysis of verbal humor to natural language cognition. After a brief introduction to the growing area of computational humor and of its roots in humor theories, it describes and compares the results of a human-subject and computer experiment. The specific interest is to compare how well the computer, equipped with the resources and methodologies of the Ontological Semantic Technology, a comprehensive meaning access approach to natural language processing, can model several aspects of the cognitive behaviors of humans processing jokes from the Internet. The paper, sharing several important premises with cognitive informatics, is meant as a direct contribution to this rapidly developing transdisciplinary field, and as such, it bears on cognitive computing as well, especially at the level of implementation of computational humor in non-toy systems and the relationship to human cognitive processes of understanding and producing humor.

Object-Oriented Cognitive Complexity Measures

2017 ◽  
pp. 917-940
Author(s):  
Sanjay Misra ◽  
Adewole Adewumi
Keyword(s):  
Software Development ◽  
Comparative Study ◽  
Critical Review ◽  
Cognitive Complexity ◽  
Object Oriented ◽  
Point Of View ◽  
Complexity Measures ◽  
Cognitive Informatics ◽  
Validation Criteria ◽  
Object Oriented Metrics

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.

A Web Knowledge Discovery Engine Based on Concept Algebra

2012 ◽  
pp. 136-151
Author(s):  
Kai Hu ◽  
Yingxu Wang ◽  
Yousheng Tian
Keyword(s):  
Knowledge Discovery ◽  
Knowledge Engineering ◽  
Cognitive Computing ◽  
Natural Languages ◽  
Learning Capability ◽  
Web Documents ◽  
Cognitive Informatics ◽  
On Line ◽  
Cognitive Knowledge ◽  
Web Knowledge

Autonomous on-line knowledge discovery and acquisition play an important role in cognitive informatics, cognitive computing, knowledge engineering, and computational intelligence. On the basis of the latest advances in cognitive informatics and denotational mathematics, this paper develops a web knowledge discovery engine for web document restructuring and comprehension, which decodes on-line knowledge represented in informal documents into cognitive knowledge represented by concept algebra and concept networks. A visualized concept network explorer and a semantic analyzer are implemented to capture and refine queries based on concept algebra. A graphical interface is built using concept and semantic models to refine users’ queries. To enable autonomous information restructuring by machines, a two-level knowledge base that mimics human lexical/syntactical and semantic cognition is introduced. The information restructuring model provides a foundation for automatic concept indexing and knowledge extraction from web documents. The web knowledge discovery engine extends machine learning capability from imperative and adaptive information processing to autonomous and cognitive knowledge processing with unstructured documents in natural languages.

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