Advances in Abstract Intelligence and Soft Computing

Advances in Abstract Intelligence and Soft Computing

Copyright: © 2013 |Pages: 456

ISBN13: 9781466626515|ISBN10: 1466626518|EISBN13: 9781466626829

DOI: 10.4018/978-1-4666-2651-5

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Wang, Yingxu, editor. Advances in Abstract Intelligence and Soft Computing. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2651-5

APA

Wang, Y. (Ed.). (2013). Advances in Abstract Intelligence and Soft Computing. IGI Global. https://doi.org/10.4018/978-1-4666-2651-5

Chicago

Wang, Yingxu, ed. Advances in Abstract Intelligence and Soft Computing. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2651-5

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Continuous developments in software and intelligence sciences have brought together the studies of both natural and machine intelligence and the relationship between the function of the brain and the abstract soft mind; creating a new multidisciplinary field of study.

Advances in Abstract Intelligence and Soft Computing brings together the latest research in computer science: theoretical software engineering, cognitive science and informatics, and also their influence on the processes of natural and machine intelligence. This book is a collection of widespread research in the constant expansions on this emerging discipline.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Acknowledgment

Chapters

Computational Intelligence

Chapter 1

A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine (pages 1-15)

Yousheng Tian, Yingxu Wang, Marina L. Gavrilova, Guenther Ruhe

It is recognized that the generic form of machine learning is a knowledge acquisition and manipulation process mimicking the brain. Therefore, knowledge representation as a dynamic concept network is centric in the design and...

Chapter 2

Sparse Based Image Classification With Bag-of-Visual-Words Representations (pages 16-30)

Yuanyuan Zuo, Bo Zhang

The sparse representation based classification algorithm has been used to solve the problem of human face recognition, but the image database is restricted to human frontal faces with only slight illumination and expression changes....

Chapter 3

Quotient Space-Based Boundary Condition for Particle Swarm Optimization Algorithm (pages 31-42)

Yuhong Chi, Fuchun Sun, Langfan Jiang, Chunyang Yu, Chunli Chen

To control particles to fly inside the limited search space and deal with the problems of slow search speed and premature convergence of particle swarm optimization algorithm, this paper applies the theory of topology, and proposed a...

Chapter 4

Medical Image Classification Using an Optimal Feature Extraction Algorithm and a Supervised Classifier Technique (pages 43-56)

Ahmed Kharrat, Karim Gasmi, Mohamed Ben Messaoud, Nacéra Benamrane, Mohamed Abid

A new approach for automated diagnosis and classification of Magnetic Resonance (MR) human brain images is proposed. The proposed method uses Wavelets Transform (WT) as input module to Genetic Algorithm (GA) and Support Vector...

Chapter 5

EEG Feature Extraction and Pattern Classification Based on Motor Imagery in Brain-Computer Interface (pages 57-69)

Ling Zou, Xinguang Wang, Guodong Shi, Zhenghua Ma

Accurate classification of EEG left and right hand motor imagery is an important issue in brain-computer interface. Firstly, discrete wavelet transform method was used to decompose the average power of C3 electrode and C4 electrode...

Chapter 6

Inconsistency-Induced Learning for Perpetual Learners (pages 70-87)

Du Zhang, Meiliu Lu

One of the long-term research goals in machine learning is how to build never-ending learners. The state-of-the-practice in the field of machine learning thus far is still dominated by the one-time learner paradigm: some learning...

Chapter 7

Toward Automatic Answers in User-Interactive Question Answering Systems (pages 88-101)

Tianyong Hao, Feifei Xu, Jingsheng Lei, Liu Wenyin, Qing Li

A strategy of automatic answer retrieval for repeated or similar questions in user-interactive systems by employing semantic question patterns is proposed in this paper. The used semantic question pattern is a generalized...

Cognitive Computing

Chapter 8

On Cognitive Models of Causal Inferences and Causation Networks (pages 103-113)

Yingxu Wang

Human thought, perception, reasoning, and problem solving are highly dependent on causal inferences. This paper presents a set of cognitive models for causation analyses and causal inferences. The taxonomy and mathematical models of...

Chapter 9

On Localities of Knowledge Inconsistency (pages 114-131)

Du Zhang

Inconsistency is commonplace in the real world in long-term memory and knowledge based systems. Managing inconsistency is considered a hallmark of the plasticity of human intelligence. Belief revision is an important mental process...

Chapter 10

Adaptive Study Design Through Semantic Association Rule Analysis (pages 132-144)

Ping Chen, Wei Ding, Walter Garcia

Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. This paper presents a semantic network-based association analysis model including three spreading...

Chapter 11

Qualitative Reasoning Approach to a Driver’s Cognitive Mental Load (pages 145-157)

Shinichiro Sega, Hirotoshi Iwasaki, Hironori Hiraishi, Fumio Mizoguchi

This paper explores applying qualitative reasoning to a driver’s mental state in real driving situations so as to develop a working load for intelligent transportation systems. The authors identify the cognitive state that determines...

Chapter 12

Intelligent Fault Recognition and Diagnosis for Rotating Machines using Neural Networks (pages 158-172)

Cyprian F. Ngolah, Ed Morden, Yingxu Wang

Monitoring industrial machine health in real-time is not only in high demand, it is also complicated and difficult. Possible reasons for this include: (a) access to the machines on site is sometimes impracticable, and (b) the...

Software Science

Chapter 13

Empirical Studies on the Functional Complexity of Software in Large-Scale Software Systems (pages 174-192)

Yingxu Wang, Vincent Chiew

Functional complexity is one of the most fundamental properties of software because almost all other software attributes and properties such as functional size, development effort, costs, quality, and project duration are highly...

Chapter 14

The Formal Design Model of a File Management System (FMS) (pages 193-213)

Yingxu Wang, Cyprian F. Ngolah, Xinming Tan, Yousheng Tian, Phillip C.Y. Sheu

Files are a typical abstract data type for data objects and software modeling, which provides a standard encapsulation and access interface for manipulating large-volume information and persistent data. File management systems are an...

Chapter 15

The Formal Design Model of Doubly-Linked-Circular Lists (DLC-Lists) (pages 214-230)

Yingxu Wang, Cyprian F. Ngolah, Xinming Tan, Phillip C.Y. Sheu

Abstract Data Types (ADTs) are a set of highly generic and rigorously modeled data structures in type theory. Lists as a finite sequence of elements are one of the most fundamental and widely used ADTs in system modeling, which...

Chapter 16

Petri Nets and Discrete Events Systems (pages 231-240)

Juan L. G. Guirao, Fernando L. Pelayo

This paper provides an overview over the relationship between Petri Nets and Discrete Event Systems as they have been proved as key factors in the cognitive processes of perception and memorization. In this sense, different aspects...

Chapter 17

The Formal Design Models of a Universal Array (UA) and its Implementation (pages 241-259)

Yingxu Wang, Jason Huang, Jingsheng Lei

Arrays are one of the most fundamental and widely applied data structures, which are useful for modeling both logical designs and physical implementations of multi-dimensional data objects sharing the same type of homogeneous...

Chapter 18

The Formal Design Models of Tree Architectures and Behaviors (pages 260-281)

Yingxu Wang, Xinming Tan

Trees are one of the most fundamental and widely used non-linear hierarchical structures of linked nodes. A binary tree (B-Tree) is a typical balanced tree where the fan-out of each node is at most two known as the left and right...

Applications of Computational Intelligence and Cognitive Computing

Chapter 19

Four-Channel Control Architectures for Bilateral and Multilateral Teleoperation (pages 283-298)

Yuji Wang, Fuchun Sun, Huaping Liu

The four-channel architecture in teleoperation with force feedback has been studied in various existing literature. However, most of them focused on Lawrence architecture and did not research other cases. This paper proposes two...

Chapter 20

Entropy Quad-Trees for High Complexity Regions Detection (pages 299-316)

Rosanne Vetro, Dan A. Simovici, Wei Ding

This paper introduces entropy quad-trees, which are structures derived from quad-trees by allowing nodes to split only when those correspond to sufficiently complex sub-domains of a data domain. Complexity is evaluated using an...

Chapter 21

Sitting Posture Recognition and Location Estimation for Human-Aware Environment (pages 317-331)

Yusuke Manabe, Kenji Sugawara

Realization of human-computer symbiosis is an important idea in the context of ubiquitous computing. Symbiotic Computing is a concept that bridges the gap between situations in Real Space (RS) and data in Digital Space (DS). The main...

Chapter 22

Generic Cabling of Intelligent Buildings Based on Ant Colony Algorithm (pages 332-342)

Yunlong Wang, Kueiming Lo

Generic cabling is a key component for multiplex cable wiring. It is one of the basic foundations of intelligent buildings. Using operation flow in generic cabling, the index constraints affecting generic cabling have been evolved in...

Chapter 23

Potentials of Quadratic Neural Unit for Applications (pages 343-354)

Ricardo Rodriguez, Ivo Bukovsky, Noriyasu Homma

The paper discusses the quadratic neural unit (QNU) and highlights its attractiveness for industrial applications such as for plant modeling, control, and time series prediction. Linear systems are still often preferred in industrial...

Chapter 24

A Value-Based Framework for Software Evolutionary Testing (pages 355-373)

Du Zhang

The fundamental objective in value-based software engineering is to integrate consistent stakeholder value propositions into the full extent of software engineering principles and practices so as to increase the value for software...

Chapter 25

Comparison of Promoter Sequences Based on Inter Motif Distance (pages 374-385)

A. Meera, Lalitha Rangarajan

Understanding how the regulation of gene networks is orchestrated is an important challenge for characterizing complex biological processes. The DNA sequences that comprise promoters do not provide much direct information about...

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Compilation of References

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