Intelligence Science II

Name: Intelligence Science II | Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings

Zhongzhi Shi Cyriel Pennartz Tiejun Huang(Herausgeber*in)

Springer (Verlag)

Erschienen am 24. Oktober 2018

XXXIII, 484 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-030-01313-4 (ISBN)

53,49 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Organization
Brain Cognition
Abstracts of Keynote and Invited Talks
Progress Toward a High-Performance Brain Interface
Predicting the Present: Experiments and Computational Models of Perception and Internally Generated Representations
Brain Science and Artificial Intelligence
Intelligence Science Will Lead the Development of New Generation of Artificial Intelligence
Scientific Paradigm Shift for Intelligence Science Research
Visual Information Processing - From Video to Retina
The Human Brainnetome Atlas and Its Applications in Neuroscience and Brain Diseases
A Brief Overview of Practical Optimization Algorithms in the Context of Relaxation
Clifford Geometric Algebra
Urban Computing: Building Intelligent Cities Using Big Data and AI
New Approaches to Natural Language Understanding
Neuromorphic Computing: A Learning and Memory Centered Approach
Theory of Cognitive Relativity
Two-layer Mixture of Gaussian Processes for Curve Clustering and Prediction
Contents
Multi-task Motor Imagery EEG Classification Using Broad Learning and Common Spatial Pattern
Abstract
1 Introduction
2 Methods
2.1 Multiclass Common Spatial Pattern
2.2 Broad Learning
2.3 Our Algorithm
3 Experiments and Discussion
3.1 Datasets and Settings
3.2 Experimental Results
3.3 Discussion
4 Conclusion
References
From Bayesian Inference to Logical Bayesian Inference
Abstract
1 Introduction
2 From Bayes' Prediction to Logical Bayesian Inference
3 Mathematical Basis: Three Kinds of Probabilities and Three Kinds of Bayes' Theorems
4 Logical Bayesian Inference (LBI)
5 Logical Bayesian Inference for Machine Learning
6 Confirmation Measure b* for Induction
7 Summary
References
Solution of Brain Contradiction by Extension Theory
Abstract
1 Introduction
2 From Vector Distance to the Dependent Functions
3 Neural Solution of Boolean Function by Dependent Function k´(x)
4 Machine and Systems by Nonlinear Neuron
5 Conclusions
Acknowledgments
References
Cognitive Features of Students Who Are Tired of Learning Geometry
Abstract
1 Introduction
2 Cognitive Features and Interests of Students Who Are Tired of Geometry Learning
3 Way to Transform Geometry Learning from the Perspective of Interest for Students
4 Case Study
5 Conclusion
Reference
Machine Learning
Semantic Channel and Shannon's Channel Mutually Match for Multi-label Classification
Abstract
1 Introduction
2 Mathematical Methods
2.1 Distinguishing Statistical Probability and Logical Probability
2.2 Three Kinds of Bayes' Theorems
2.3 From Shannon's Channel to Semantic Channel
2.4 To Define Semantic Information with Log (Normalized Likelihood)
3 Multi-label Classification for Visibal Instances
3.1 Multi-label Learning (the Receiver's Logical Classification) for Truth Functions Without Parameters
3.2 Selecting Examples for Atomic Labels' Learning
3.3 Multi-label Learning for Truth Functions with Parameters
3.4 Multi-label Selection (the Sender's Selective Classification)
3.5 Classifier h(X) Changes with P(X) to Overcome Class-Imbalance Problem
4 The CM Iteration Algorithm for the Multi-label Classification of Unseen Instances
5 Summary
References
Exploiting the Similarity of Top 100 Beauties for Hairstyle Recommendation via Perceptual Hash
Abstract
1 Introduction
2 Related Work
3 Proposed Hairstyle Recommendation System
3.1 Overall Framework
3.2 Data Collection and Pre-handling
3.3 Perceptual Hash Based Recommendation
3.4 Haar Feature Classified
4 Implementation
4.1 Programming Language
4.2 Critical Persuade Code for Hairstyle Recommendation
5 Results and Analysis
6 Conclusion
Acknowledgement
References
Attribute Coordinate Comprehensive Evaluation Model Combining Principal Component Analysis
Abstract
1 Introduction
2 Reduction of Indicators by Principal Component Analysis
3 Attribute Coordinate Comprehensive Evaluation Model
3.1 Explore Barycentric Coordinates Reflecting Evaluators' Preference Weight
3.2 Calculate the Most Satisfactory Solution
4 Simulation Experiment
4.1 Attribute Coordinate Comprehensive Evaluation Without Using Principal Component Analysis
4.2 Attribute Coordinate Comprehensive Evaluation with Principal Component Analysis
5 Conclusion
References
A Specialized Probability Density Function for the Input of Mixture of Gaussian Processes
1 Introduction
2 GP and MGP Models
2.1 GP Model
2.2 MGP Model
3 Specialized Input Distribution and Its Learning Algorithm
3.1 Specialized PDF
3.2 Learning Algorithm for the Specialized PDF
4 The MGP Model of the Specialized PDFs and Its Learning Algorithm
5 Experimental Results
5.1 Simulation Experiments
5.2 Prediction on Stock Data
6 Conclusion
References
Research of Port Competitiveness Evaluation Based on Attribute Evaluation Method
Abstract
1 Introduction and Literature Review
2 Attribute Coordinate Comprehensive Evaluation Method
3 Attribute Characteristics of Port Competitiveness
4 Port Competitiveness Index System
5 Empirical Study
6 Conclusion
References
Universal Learning Machine - Principle, Method, and Engineering Model Contributions to ICIS 2018
1 Introduction
2 Universal Learning Machine
3 Subjective Pattern and X-form
3.1 Objective Pattern
3.2 Subjective Pattern
3.3 X-form
3.4 Discussions About X-form
4 Conceiving, Governing and Primary Consciousness
5 Learning Dynamics and Data Sufficiency
6 Learning Strategies
7 Engineering Model
References
An Improved CURE Algorithm
Abstract
1 Introduction
2 Related Work
3 Improved CURE Algorithm
3.1 Sample Extraction
3.2 Representative Point Selection
3.3 The ISE-RS-CURE Algorithm
4 Experiment Analysis
4.1 Experiments on Synthetic Data Sets
4.2 Experiments on the Real Data Sets
5 Conclusion
References
Data Intelligence
D-JB: An Online Join Method for Skewed and Varied Data Streams
1 Introduction
2 Related Work
3 Preliminaries
3.1 Concept Description
3.2 Optimization Objective
4 D-JB Model Design
4.1 D-JB Architecture
4.2 Algorithms of Data Migration
5 Evaluation
5.1 Experimental Setup
5.2 Throughput and Latency
5.3 Scalability
6 Conclusion
References
The Application of Association Analysis in Mobile Phone Forensics System
Abstract
1 Introduction
2 The Analysis of Intimacy Based on Clustering
2.1 Traditional Clustering Method
2.2 An Improved K-Means Algorithm
2.2.1 The Choice of Initial Cluster Centre
2.2.2 The Pre-processing of the Isolated Points
3 An Improved Association Analysis Algorithm
3.1 The Basic Concepts of Association Rule Mining
3.2 Apriori Algorithm and Its Improvement
4 Experiment and Results
4.1 The Results of the Intimacy Analysis
4.2 The Results of Association Rule Mining
5 Conclusions
References
How to Do Knowledge Module Finishing
Abstract
1 Introduction
2 Method
2.1 The Scientific Principles on Which This Method Is Based
2.2 Taking the Formal Study of the Ideology of "Ruling the Country" as an Example
2.3 Expert Knowledge of Human-Computer Collaboration System Platform
3 Result
4 Conclusion
References
The Art of Human Intelligence and the Technology of Artificial Intelligence: Artificial Intelligence Visual Art Research
Abstract
1 Introduction
2 Related Work
2.1 Creativity in AI Art
2.2 Art Standard in AI Art
2.3 Art Reception in AI Art
3 Conclusion
Acknowledgement
References
Language Cognition
Using Two Formal Strategies to Eliminate Ambiguity in Poetry Text
Abstract
1 Introduction
2 Related Work
2.1 Build a Double-Words Chessboard and Chinese Language Chessboard Spectrum
2.2 Experiments
2.3 Public Datasets
3 Discussion
4 Future Work
Acknowledgement
References
Discussion on Bilingual Cognition in International Exchange Activities
1 Introduction
2 Background
2.1 International Exchange Activities
2.2 Neural Machine Translation
3 Methodology
3.1 HCI Method for International Communication
3.2 Mixed Transfer Learning Approach for NMT
4 Experiments
4.1 Setup
4.2 Effect of MTL for Low-Resource NMT
5 Related Work
6 Conclusion and Future Work
References
The Cognitive Features of Interface Language and User Language
Abstract
1 Introduction
2 Interface Language
3 User Language
4 Conclusion
References
The Cognitive Features of Programming Language and Natural Language
Abstract
1 Introduction
2 Cognitive Features of Programming and Natural Language
3 Conclusion
References
Ten-Years Research Progress of Natural Language Understanding Based on Perceptual Formalization
Abstract
1 Introduction
2 What is the Semantics
3 Mechanisms of Understanding
3.1 Understanding
3.2 Comprehensive Understanding
3.3 Understanding Effect
4 Several Understanding Mechanism Related Algorithms
4.1 Text Understanding Algorithm for Language Machine Understanding
4.2 Pragmatic Meaning Derivation Algorithm of Natural Language Machine Understanding
4.3 Deductive Reasoning Algorithm Guided by Natural Language Understanding
5 Related Work and Prospects
5.1 The Natural Language Understanding Basis of Machine Translation
5.2 Machine Learning Based on Natural Language Understanding
5.3 The Physiological Basis of the Invariance of Perceptual Properties
5.4 Visual Turing Test and Intelligence Definition
References
Learning Word Sentiment with Neural Bag-Of-Words Model Combined with Ngram
1 Introduction
2 Related Work
3 Neural Bag-Of-Words (NBOW) Model
4 Proposed Model: Neural Bag-Of-Words-Ngram (NBOWN)
5 Experiment
5.1 Data
5.2 Word Embedding and Performance Measure
6 Result
6.1 Classification Performance
6.2 Visualization of Words Sentiment
7 Conclusion and Future Work
References
Related Text Discovery Through Consecutive Filtering and Supervised Learning
1 Introduction
2 Methodology
3 Experimental Results
3.1 Data Sets
3.2 Text Representation
3.3 Feature Selection
3.4 Performance Measures
3.5 Parameter Setting
3.6 Performances and Comparisons
4 Conclusion
References
Natural Language Semantics and Its Computable Analysis
1 Introduction
2 The Meaning of Natural Language
3 The Intensional Logic
4 Conclusion
References
Can Machines Think in Radio Language?
1 Introduction
2 The Principle of Language's Relativity
3 Significance of the Principle for Intelligence
4 Conclusion
References
Language Understanding of the Three Groups of Connections: Management Innovation Dynamic Mechanism a ...
Abstract
1 Introduction
1.1 Background
1.2 Purpose
2 Research on Management Innovation Dynamic Mechanism
2.1 Theoretical Discussion
2.2 Theoretical Construction
3 The Creation of Intelligent Driving Environment
3.1 Actual Build: Environment
3.2 Actual Optimization: Intelligent
4 Conclusion
4.1 Dynamic Mechanism and Driving Environment
4.2 Significance
References
Perceptual Intelligence
CSSD: An End-to-End Deep Neural Network Approach to Pedestrian Detection
Abstract
1 Introduction
2 CSSD
2.1 Backbone Network
2.2 Circular Feature Pyramid
2.3 Connection Modules
2.4 Training Objective
3 Experiments
3.1 Dataset and Evaluation
3.2 Training, Testing Settings and Results
4 Results Analysis
4.1 Effectiveness Analysis
4.2 Runtime Analysis
5 Conclusions
References
Predicting Text Readability with Personal Pronouns
Abstract
1 Introduction
2 Materials and Methodology
2.1 Corpus Data
2.2 Readability Formula
3 Data Processing
4 Results and Discussion
4.1 Readability Results of Random Texts of Nine Genres
4.2 Fitness Results
5 Reevaluation for Strong Fitting Subsets
6 Conclusion
References
The Influence of Facial Width-to-Height Ratio on Micro-expression Recognition
Abstract
1 Introduction
1.1 Micro-expressions of Emotion
1.2 Facial Width-to-Height Ratio (FWHR)
2 The Current Study: Effects of Facial Width-to-Height Ratio on the Recognition Micro-expressions
3 Method
3.1 Participants and Design
3.2 Stimuli
4 Apparatus and Procedure
5 Results
6 Discussion
Acknowledgements
References
Shortest Paths in HSI Space for Color Texture Classification
1 Introduction
2 Model Texture to Graph
2.1 Graph and Shortest Path
2.2 Modeling Texture to Graph
2.3 Edge Weight Analysis
3 Express Color Texture Features with the Shortest Path
4 Experiment and Results
5 Conclusion
References
The 3D Point Clouds Registration for Human Foot
Abstract
1 Introduction
2 Method Review
2.1 The NARF Key Point
2.2 The FPFH Descriptor
2.2.1 The PFH Descriptor
2.2.2 The Principle of the FPFH Descriptor
2.2.3 The Difference of PFH and FPFH
2.3 Improved FPFH Descriptors
2.4 Registration Based on Descriptors
2.4.1 Sample Consensus Initial Alignment
2.4.2 Iterative Closest Point (ICP)
3 Results and Discussion
4 Conclusions
Acknowledgment
References
The Cognitive Philosophical Problems in Visual Attention and Its Influence on Artificial Intelligence Modeling
Abstract
1 Introduction
2 Cognitive Philosophical Problems of Visual Attention
2.1 What is the Essence of Visual Attention?
2.2 What are the Basic Units of Visual Attention?
2.3 What are the Factors that Affect the Visual Attention?
3 The Computational Model of Visual Attention
4 Core Issues and Strategies for Constructing Visual Attention Computational Models
4.1 The Basic Unit Selection Problem of Visual Attention Computational Model
4.2 Feature Selection of Visual Attention Computational Model
4.3 Selection of Multiple Visual Features Fusion Strategies for Visual Attention Computational Models
5 Conclusion
Acknowledgement
References
Parallel Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification
Abstract
1 Introduction
2 Proposed Method
2.1 Dimensionality-Varied CNN
2.2 Parallel Computing
3 Experiments
3.1 Classification Accuracy of Methods×
3.2 Time Consuming of Methods
4 Conclusions
Acknowledgments
References
Model Selection Prediction for the Mixture of Gaussian Processes with RJMCMC
1 Introduction
2 The Mixture of Gaussian Processes and Its Latent Variables
3 Model Selection Prediction with Reversible Jump Markov Chains Monte Carlo
3.1 The Moves with the Component Number Fixed for (a)(b)(c)
3.2 The Moves with the Component Number Changed
3.3 Metropolis-Hastings Update
4 Convergence Diagnosing
5 Conclusion
References
Intelligent Robot
Self-developing Proprioception-Based Robot Internal Models
1 Introduction
2 Developing the Internal Models
2.1 Developing the Proprioception
2.2 Developing the Forward Model
2.3 Developing the Inverse Model
3 Experiments
3.1 Development of Proprioception
3.2 Comparison of the Forward Models
3.3 Comparison of the Inverse Models
3.4 Evaluation of the Integrated Internal Models
4 Conclusion
References
Artificial Unintelligence: Anti-intelligence of Intelligent Algorithms
1 Introduction
2 Value Creation From Big Data
2.1 Core Value of Big Data
2.2 Demonstration of Data Value
2.3 No Free Lunch Theorem
2.4 Role of Artificial Intelligence Algorithms
3 Anti-intelligence Features of AI Algorithms
3.1 Tendency of `fatuous King'
3.2 Generalization of Quick Thinking
3.3 Retribalization of the Digital Age
4 Countermeasures and Conclusions
References
XiaoA: A Robot Editor for Popularity Prediction of Online News Based on Ensemble Learning
1 Introduction
2 Related Work
3 Preliminaries
3.1 Problem Statement
3.2 Original Dataset
3.3 Data Preprocessing
4 Proposed Methodology
4.1 Component Learners
4.2 Ensemble Learning
5 Experiments
6 Conclusion
References
Design and Implementation of Location Analysis System for Mobile Devices
Abstract
1 Introduction
2 System Related Technologies
2.1 NodeJS
2.2 Bootstrap
2.3 Tencent Map API
3 Design and Implementation of Geographical Analysis System of Mobile Terminal Equipment
3.1 System Front-End Interface Design and Implementation
3.2 Design and Implementation of System Front-End Logical Functions
3.3 The Backend Logic Function of This System is Realized Through NodeJS
4 Conclusion
References
Control Information Acquisition and Processing of the AMT System Based in LabVIEW and MATLAB
Abstract
1 Introduction
2 Overview of Data Acquisition and Process Techniques
3 Interface of the DAQ System
4 Data Processing and Results Presentation
5 Conclusions
Acknowledgement
References
Multi-robot Distributed Cooperative Monitoring of Mobile Targets
Abstract
1 Introduction
2 Problem Description
3 Distributed Cooperative Path Planning Algorithm
3.1 Distributed Robot Selection Method
3.2 Multi-robot Distributed Cooperative Path Planning Algorithm
4 Comparative Experiment
4.1 Experimental Results
4.2 Dynamic Decision Sequence Versus Fixed Decision Sequence
5 Conclusion
Acknowledgment
References
Research on the Micro-blog User Behavior Model Based on Behavior Matrix
Abstract
1 Introduction
2 Micro-blog User Behavior Model Based on Behavior Matrix
2.1 Behavior Matrix Model
2.2 The Analysis Method of Behavior Matrix
3 Experimental Analysis
4 Conclusions
References
Probe Machine Based Consecutive Route Filtering Approach to Symmetric Travelling Salesman Problem
1 Introduction
2 Related Work
3 Proposed Algorithm
3.1 Probe Concept
3.2 Working Steps
3.3 Filtering Proportion in Each Step
4 Experimental Results
5 Conclusion and Future Research
References
Fault Diagnosis
Automatic Fault Detection for 2D Seismic Data Based on the Seismic Coherence of Mutative Scale Analysis Window
1 Introduction
2 Conventional Seismic Coherence
2.1 Semblance Coherence
2.2 Eigenstrcture-Based Coherence
3 Proposed Seismic Coherence of Mutative Scale Analysis Window
4 Fault Detection Through the Proposed Coherence
5 Experimental Results
6 Conclusion
References
UAV Assisted Bridge Defect Inspection System
Abstract
1 Introduction
2 Related Work
3 Electromechanics and Communication System
3.1 Navigation
3.2 Flight Control
3.3 Image Capture
3.4 Communication
3.5 Self-protection Mechanism
4 Image Processing
4.1 Gradient Processing
4.2 Gray-Scale Stretch
4.3 Fisher Thresholding
4.4 Clustering Analysis
4.5 Experimental Results
5 Conclusion
References
Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability
Abstract
1 Introduction
2 Logical Analysis of Data
3 Fast LAD with Multiple Rules Discovery Ability
3.1 Multiple Rules Discovery Based on Modified MILP
3.2 Fast LAD Based on Fast Data Binarization
4 A Case Study on Tennessee Eastman Process
5 Conclusions
Acknowledgements
References
Improved Feature Selection Algorithm for Prognosis Prediction of Primary Liver Cancer
Abstract
1 Introduction
2 Principle
2.1 Decision Tree Algorithm
2.1.1 Information Gain
2.1.2 Gain Rate
2.1.3 Gini Index
2.2 Random Forest Algorithm
2.3 Improved Feature Selection Algorithm
3 Experimental Analysis
3.1 Collection and Data Collation
3.2 Comparison Between Decision Tree and Random Forest
4 Conclusion
References
A Novel Spatial-Spectra Dynamics-Based Ranking Model for Sorting Time-Varying Functional Networks from Single Subject FMRI Data
Abstract
1 Introduction
2 Theory and Methods
2.1 Brief Review of Quasi-GICA
2.2 Weighted BFNs Ranking Model
3 Experimental Tests
3.1 Experimental Datasets
3.2 Data Processing
4 Results and Analysis
4.1 Results of Dynamic Low-Frequency Fluctuations
4.2 Results of Dynamic Spatial Reproducibility
4.3 Results of Weighted BFNs Ranking
5 Discussion
6 Conclusion
Acknowledgments
References
Bat Algorithm with Individual Local Search
Abstract
1 Instruction
2 Bat Algorithm
3 Bat Algorithm with Individual Local Search
4 Experiments
4.1 Investigation of Parameter r
4.2 Comparison with State-of-Art Algorithms
5 Conclusion
Acknowledgements
References
Ethics of Artificial Intelligence
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base
Abstract
1 Dilemma for Formation of Human and Artificial Intelligence Ethics
2 Inspiration of New Technological Advances on the Development Direction of Human Society
2.1 Evolution of Biological Brain for Hundreds of Millions of Years
2.2 Formation and Evolution of the Internet Brain
2.3 Division and Evolution of Intelligence Levels
3 Development Direction of Human Society - Judged with the Population Knowledge Base
4 Discussion on the Construction and Decision of AI Ethics from the Perspective of Development Direction of Human Society
4.1 Taking the Evolution from the Population Knowledge Base as a Standard for Constructing AI Ethics
4.2 Discussion on the Decision of Viewing AI Ethics from the Perspective of Evolution
5 Summary
References
Does AI Share Same Ethic with Human Being?
Abstract
1 Introduction
2 The Problem of Abstract Moral Law and AI
3 Three Stages of Virtue Ethics of Macintyre and AI
4 AI and the Recognition of Society
5 Conclusion
References
"Machinery Rationality" Versus Human Emotions: Issues of Robot Care for the Elderly in Recent Sci-Fi Works
Abstract
1 Introduction
1.1 A Brief Literature Review
1.2 Five Ethical Issues in the New Era of HRI
2 The Machinery Rationality Versus Human Emotions
2.1 The Elderly as An Irrational Group
2.2 The New Conflicts Between Human and Robot
3 Robot as Antithesis: The Irrationality of Human Beings
3.1 Robot: Not "It" But "He"
3.2 The Intimate HRI and the Risk
3.3 The Irrationality of Human Being in the Mirror of Robots
4 Conclusion and Prospect
References
Correction to: From Bayesian Inference to Logical Bayesian Inference
Correction to: Chapter "From Bayesian Inference to Logical Bayesian Inference: A New Mathematical Frame for Semantic Communication and Machine Learning" in: Z. Shi et al. (Eds.): Intelligence Science II, IFIP AICT 539, https://doi.org/10.1007/978-3-030-01313-4_2
Author Index

Systemvoraussetzungen

Als PDF speichern Als Link merken