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AI 2018: Advances in Artificial Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
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    Chapter 2 Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
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    Chapter 3 Empowerment-Driven Single Agent Exploration for Locating Multiple Wireless Transmitters
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    Chapter 4 A Logic for Reasoning About Game Descriptions
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    Chapter 5 General Language Evolution in General Game Playing
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    Chapter 6 Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games
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    Chapter 7 An Approach for Task Execution in Dynamic Multirobot Environment
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    Chapter 8 Monocular ORB-SLAM on a Humanoid Robot for Localization Purposes
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    Chapter 9 Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study
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    Chapter 10 Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning
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    Chapter 11 Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes
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    Chapter 12 A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features
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    Chapter 13 Impacts of Climate Change and Socioeconomic Development on Electric Load in California
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    Chapter 14 Implementing Propositional Networks on FPGA
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    Chapter 15 A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds
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    Chapter 16 A Computational Framework for Autonomous Self-repair Systems
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    Chapter 17 Investigation of Unsupervised Models for Biodiversity Assessment
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    Chapter 18 Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment
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    Chapter 19 Real-Time Collusive Shill Bidding Detection in Online Auctions
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    Chapter 20 OHC: Uncovering Overlapping Heterogeneous Communities
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    Chapter 21 A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection
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    Chapter 22 Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks
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    Chapter 23 Shark Detection from Aerial Imagery Using Region-Based CNN, a Study
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    Chapter 24 A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
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    Chapter 25 A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification
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    Chapter 26 Image Up-Sampling for Super Resolution with Generative Adversarial Network
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    Chapter 27 A Model for Learning Representations of 3D Objects Through Tactile Exploration: Effects of Object Asymmetries and Landmarks
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    Chapter 28 Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks
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    Chapter 29 Diversified Late Acceptance Search
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    Chapter 30 Hyper-heuristic Based Local Search for Combinatorial Optimisation Problems
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    Chapter 31 Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization
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    Chapter 32 Constraint-Guided Local Search for Single Mixed-Operation Runway
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    Chapter 33 A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
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    Chapter 34 Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III
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    Chapter 35 Improving Representation in Benchmarking of Binary PSO Algorithms
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    Chapter 36 Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms
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    Chapter 37 Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches
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    Chapter 38 A Cooperative Coevolutionary Algorithm for Real-Time Underground Mine Scheduling
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    Chapter 39 Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy
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    Chapter 40 An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem
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    Chapter 41 Uncovering Performance Envelopes Through Optimum Design of Tests
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    Chapter 42 Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm
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    Chapter 43 Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling
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    Chapter 44 Adaptive Inference on Probabilistic Relational Models
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    Chapter 45 Reinterpretation with Systems of Spheres
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    Chapter 46 Sparse Approximation for Gaussian Process with Derivative Observations
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    Chapter 47 Counterfactual Inference with Hidden Confounders Using Implicit Generative Models
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    Chapter 48 On the Use of Matrix Based Representation to Deal with Automatic Composer Recognition
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    Chapter 49 Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking
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    Chapter 50 Answering Multiple Conjunctive Queries with the Lifted Dynamic Junction Tree Algorithm
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    Chapter 51 Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
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    Chapter 52 Feature Standardisation in Symbolic Regression
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    Chapter 53 Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
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    Chapter 54 Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification
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    Chapter 55 A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions Using Autoencoders and Swarm Optimization
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    Chapter 56 Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study
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    Chapter 57 Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection
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    Chapter 58 Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data
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    Chapter 59 Random-Sets for Dealing with Uncertainties in Relevance Feature
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    Chapter 60 Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets
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    Chapter 61 Link Prediction via Factorization Machines
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    Chapter 62 Discovering Granger-Causal Features from Deep Learning Networks
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    Chapter 63 A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions
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    Chapter 64 Twin Bounded Large Margin Distribution Machine
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    Chapter 65 Concept Drift Detector Selection for Hoeffding Adaptive Trees
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    Chapter 66 Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming
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    Chapter 67 Autonomous Vehicle Constrained Path Planning Using Opal for Dynamic Networks
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    Chapter 68 A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration
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    Chapter 69 Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
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    Chapter 70 Virtual Roundabout Protocol for Autonomous Vehicles
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    Chapter 71 Multi-objective Container Consolidation in Cloud Data Centers
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    Chapter 72 Enhancing Decision Boundary Setting for Binary Text Classification
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    Chapter 73 Stability of Word Embeddings Using Word2Vec
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    Chapter 74 Using Word Embeddings with Linear Models for Short Text Classification
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    Chapter 75 Towards Compiling Textbooks from Wikipedia
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    Chapter 76 Measuring Language Complexity Using Word Embeddings
Attention for Chapter 1: Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
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Chapter title
Compromise as a Way to Promote Convention Emergence and to Reduce Social Unfairness in Multi-Agent Systems
Chapter number 1
Book title
AI 2018: Advances in Artificial Intelligence
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-03991-2_1
Book ISBNs
978-3-03-003990-5, 978-3-03-003991-2
Authors

Shuyue Hu, Ho-fung Leung, Hu, Shuyue, Leung, Ho-fung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Computer Science 1 50%