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Agents and Artificial Intelligence

Overview of attention for book
Cover of 'Agents and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Herd Behavior Is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake
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    Chapter 2 Intelligent Local Energy Communities: A Multiagent System Approach
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    Chapter 3 A Game-Theoretical Incentive Mechanism for Local Energy Communities
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    Chapter 4 On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters
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    Chapter 5 Cooperative Multi-agent Systems for the Multi-target $$\upkappa $$ κ -Coverage Problem
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    Chapter 6 A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines
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    Chapter 7 Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders
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    Chapter 8 Cost-Sensitive Semi-supervised Classification for Fraud Applications
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    Chapter 9 Blending NLP and Machine Learning for the Development of Winograd Schemas
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    Chapter 10 Cognitive Map Query Language for Temporal Domains
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    Chapter 11 Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations
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    Chapter 12 Heuristic Learning in Domain-Independent Planning: Theoretical Analysis and Experimental Evaluation
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    Chapter 13 Knowledge Injection to Neural Networks with Progressive Learning Strategy
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    Chapter 14 A Scalable and Automated Machine Learning Framework to Support Risk Management
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    Chapter 15 Designing New Data Replication Strategies Automatically
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    Chapter 16 Trading Bias for Expressivity in Artificial Learning
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    Chapter 17 A Multi-modal Audience Engagement Measurement System
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    Chapter 18 Learning Latent Variable Models with Discriminant Regularization
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    Chapter 19 Continuous Multi-agent Path Finding via Satisfiability Modulo Theories (SMT)
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    Chapter 20 Unsupervised Feature Value Selection Based on Explainability
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    Chapter 21 Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision
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    Chapter 22 Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence
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    Chapter 23 Economic and Food Safety: Optimized Inspection Routes Generation
Attention for Chapter 13: Knowledge Injection to Neural Networks with Progressive Learning Strategy
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Chapter title
Knowledge Injection to Neural Networks with Progressive Learning Strategy
Chapter number 13
Book title
Agents and Artificial Intelligence
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-71158-0_13
Book ISBNs
978-3-03-071157-3, 978-3-03-071158-0
Authors

Nguyen, Ha Thanh, Vu, Trung Kien, Racharak, Teeradaj, Nguyen, Le Minh, Tojo, Satoshi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%

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