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Perspectives on Cognitive Computing and Applications

Copyright © 2012. 12 pages.
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DOI: 10.4018/978-1-4666-0264-9.ch001
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MLA

Wang, Yingxu, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang and Yiyu Yao. "Perspectives on Cognitive Computing and Applications." Breakthroughs in Software Science and Computational Intelligence. IGI Global, 2012. 1-12. Web. 25 Oct. 2014. doi:10.4018/978-1-4666-0264-9.ch001

APA

Wang, Y., Pedrycz, W., Baciu, G., Chen, P., Wang, G., & Yao, Y. (2012). Perspectives on Cognitive Computing and Applications. In Y. Wang (Ed.), Breakthroughs in Software Science and Computational Intelligence (pp. 1-12). Hershey, PA: Information Science Reference. doi:10.4018/978-1-4666-0264-9.ch001

Chicago

Wang, Yingxu, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang and Yiyu Yao. "Perspectives on Cognitive Computing and Applications." In Breakthroughs in Software Science and Computational Intelligence, ed. Yingxu Wang, 1-12 (2012), accessed October 25, 2014. doi:10.4018/978-1-4666-0264-9.ch001

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Abstract

Cognitive Computing (CC) is an emerging paradigm of intelligent computing theories and technologies based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. The development of Cognitive Computers (cC) is centric in cognitive computing methodologies. A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing. This paper summarizes the presentations of a set of 6 position papers presented in the ICCI’10 Plenary Panel on Cognitive Computing and Applications contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.
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Cognitive Computing: Theories And Applications

The latest advances in cognitive informatics, abstract intelligence, and denotational mathematics have led to a systematic solution for the future generation of intelligent computers known as cognitive computers (cCs) that think, perceive, learn, and reason (Wang, 2006, 2009a, 2009b). A cC is an intelligent computer for knowledge processing as that of a conventional von Neumann computer for data processing. cCs are designed to embody machinable intelligence such as computational inferences, causal analyses, knowledge manipulation, learning, and problem solving.

The term computing in a narrow sense is an application of computers to solve a given problem by imperative instructions; while in a broad sense, it is a process to implement the instructive intelligence by a system that transfers a set of given information or instructions into expected intelligent behaviors.

The essences of computing are both its data objects and their predefined computational operations. From these facets, different computing paradigms may be comparatively analyzed as follows:

  • (a)

    Conventional computing

    • -

      Data objects: abstract bits and structured data

    • -

      Operations: logic, arithmetic, and functions

  • (b)

    Cognitive computing (CC)

    • -

      Data objects: words, concepts, syntax, and semantics

    • -

      Basic operations: syntactic analyses and semantic analyses

    • -

      Advanced operations: concept formulation, knowledge representation, comprehension, learning, inferences, and causal analyses

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Complete Chapter List

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Table of Contents
Preface
Yingxu Wang
Chapter 1
Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang, Yiyu Yao
Cognitive Computing (CC) is an emerging paradigm of intelligent computing theories and technologies based on cognitive informatics, which implements... Sample PDF
Perspectives on Cognitive Computing and Applications
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Chapter 2
Witold Pedrycz
Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity.... Sample PDF
Granular Computing and Human-Centricity in Computational Intelligence
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Chapter 3
Carlos Ramirez, Benjamin Valdes
A cognitive model for skills and concepts representation as well as a proposal for its computational implementation is presented in this paper. The... Sample PDF
A General Knowledge Representation Model for the Acquisition of Skills and Concepts
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Chapter 4
Yang Liu, Luyang Jiao, Guohua Bai, Boqin Feng
From the perspective of cognitive informatics, cognition can be viewed as the acquisition of knowledge. In real-world applications, information... Sample PDF
Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
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Chapter 5
Jirí Wiedermann
In this paper, the author describes a simple yet cognitively powerful architecture of an embodied conscious agent. The architecture incorporates a... Sample PDF
A High Level Model of a Conscious Embodied Agent
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Chapter 6
Bernard Carlos Widrow, Juan Aragon
Taking inspiration from life experience, the authors have devised a new form of computer memory. Certain conjectures about human memory are keys to... Sample PDF
Cognitive Memory: Human Like Memory
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Chapter 7
Witold Kinsner, Hong Zhang
This paper presents estimations of multi-scale (multi-fractal) measures for feature extraction from deoxyribonucleic acid (DNA) sequences, and... Sample PDF
Multi-Fractal Analysis for Feature Extraction from DNA Sequences
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Chapter 8
Takuo Suganuma, Hideyuki Takahashi, Norio Shiratori
In a ubiquitous computing (ubicomp) environment, system components of different types, including hardware elements, software components, and network... Sample PDF
Agent-Based Middleware for Advanced Communication Services in a Ubiquitous Computing Environment
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Chapter 9
Chandra Das, Pradipta Maji
In order to apply a powerful pattern recognition algorithm to predict functional sites in proteins, amino acids cannot be used directly as inputs... Sample PDF
Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification
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Chapter 10
Haibin Zhu
Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly... Sample PDF
Role-Based Autonomic Systems
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Chapter 11
Qiumei Pu, Yongcun Cao, Xiuqin Pan, Siyao Fu, Zengguang Hou
Agent and Ontology are distinct technologies that arose independent of each other, having their own standards and specifications. The semantics web... Sample PDF
Combining Ontology with Intelligent Agent to Provide Negotiation Service
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Chapter 12
Yingxu Wang, Xinming Tan, Cyprian F. Ngolah
Real-Time Process Algebra (RTPA) is a denotational mathematics for the algebraic modeling and manipulations of software system architectures and... Sample PDF
Design and Implementation of an Autonomic Code Generator Based on RTPA
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Chapter 13
Yingxu Wang, Cyprian F. Ngolah, Guangping Zeng, Phillip C.-Y. Sheu, C. Philip Choy, Yousheng Tian
A real-time operating system (RTOS) provides a platform for the design and implementation of a wide range of applications in real-time systems... Sample PDF
The Formal Design Model of a Real-Time Operating System (RTOS+): Conceptual and Architectural Frameworks
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Chapter 14
Yingxu Wang, Guangping Zeng, Cyprian F. Ngolah, Phillip C.-Y. Sheu, C. Philip Choy, Yousheng Tian
A real-time operating system (RTOS) provides a platform for the design and implementation of a wide range of applications in real-time systems... Sample PDF
The Formal Design Model of a Real-Time Operating System (RTOS+): Static and Dynamic Behaviors
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Chapter 15
Yingxu Wang, Yanan Zhang, Philip C.-Y. Sheu, Xuhui Li, Hong Guo
An Automated Teller Machine (ATM) is a safety-critical and real-time system that is highly complicated in design and implementation. This paper... Sample PDF
The Formal Design Model of an Automatic Teller Machine (ATM)
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Chapter 16
Yingxu Wang, Xinming Tan, Cyprian F. Ngolah, Philip Sheu
Type theories are fundamental for underpinning data object modeling and system architectural design in computing and software engineering. Abstract... Sample PDF
The Formal Design Models of a Set of Abstract Data Types (ADTs)
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Chapter 17
Shaohua Teng, Wei Zhang, Haibin Zhu, Xiufen Fu, Jiangyi Su, Baoliang Cui
The LLF (Least Laxity First) scheduling algorithm assigns a priority to a task according to its executing urgency. The smaller the laxity value of a... Sample PDF
A Least-Laxity-First Scheduling Algorithm of Variable Time Slice for Periodic Tasks
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Chapter 18
Eddie C. L. Chan, George Baciu, S. C. Mak
This paper proposes semantic TFIDF, an agent-based system for retrieving location-aware information that makes use of semantic information in the... Sample PDF
Cognitive Location-Aware Information Retrieval by Agent-Based Semantic Matching
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Chapter 19
Victor V. Kryssanov, Shizuka Kumokawa, Igor Goncharenko, Hitoshi Ogawa
This paper describes a system developed to help people explore local communities by providing navigation services in social spaces created by the... Sample PDF
Perceiving the Social: A Multi-Agent System to Support Human Navigation in Foreign Communities
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Chapter 20
Claude Moulin, Marco Luca Sbodio
For e-Government applications, the symbiotic aspect must be taken into account at three stages: at design time in order to integrate the end-user... Sample PDF
Symbiotic Aspects in e-Government Application Development
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Chapter 21
Gilson Yukio Sato, Jean-Paul A. Barthès
Symbiotic computing leads to a proliferation of computing devices that allow linking people, favoring the development of distributed Communities of... Sample PDF
CoPBoard: A Catalyst for Distributed Communities of Practice
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Chapter 22
Nilar Aye, Takuro Ito, Fumio Hattori, Kazuhiro Kuwabara, Kiyoshi Yasuda
This paper proposes a remote conversation support system for people with aphasia. The aim of our system is to improve the quality of lives (QoL) of... Sample PDF
Remote Conversation Support for People with Aphasia
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Chapter 23
Takuya Maekawa, Yutaka Yanagisawa, Takeshi Okadome
By simply attaching sensor nodes to physical objects with no information about the objects, the method proposed in this paper infers the type of the... Sample PDF
Estimating which Object Type a Sensor Node is Attached to in Ubiquitous Sensor Environment
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Chapter 24
Wei Feng, Haixia Wu
This paper is concerned with the robust stability analysis problem for uncertain stochastic neural networks with interval time-varying delays. By... Sample PDF
Delay-Range-Dependent Robust Stability for Uncertain Stochastic Neural Networks with Time-Varying Delays
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Chapter 25
Lúcio Coelho, Ben Goertzel, Cassio Pennachin, Chris Heward
In this paper, the OpenBiomind toolkit is used to apply GA, GP, and local search methods to analyze a large SNP dataset concerning Late-Onset... Sample PDF
Classifier Ensemble Based Analysis of a Genome-Wide SNP Dataset Concerning Late-Onset Alzheimer Disease
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