AI 2023: Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Collaborative Qualitative Environment Mapping
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   Chapter 2 Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured Events
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   Chapter 3 The Difficulty of Novelty Detection and Adaptation in Physical Environments
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   Chapter 4 Lateral AI: Simulating Diversity in Virtual Communities
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   Chapter 5 Reports, Observations, and Belief Change
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   Chapter 6 A Prompting Framework to Enhance Language Model Output
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   Chapter 7 Epistemic Reasoning in Computational Machine Ethics
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   Chapter 8 Using Social Sensing to Validate Flood Risk Modelling in England
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    Chapter 9 Symbolic Data Analysis to Improve Completeness of Model Combination Methods
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    Chapter 10 CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs
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    Chapter 11 S5TR: Simple Single Stage Sequencer for Scene Text Recognition
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    Chapter 12 Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
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    Chapter 13 Concept-Guided Interpretable Federated Learning
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    Chapter 14 Systematic Analysis of the Impact of Label Noise Correction on ML Fairness
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    Chapter 15 Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain
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    Chapter 16 Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based Models
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    Chapter 17 Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
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    Chapter 18 Interpretable Drawing Psychoanalysis via House-Tree-Person Test
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    Chapter 19 A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection
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    Chapter 20 Auction-Based Allocation of Location-Specific Tasks
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    Chapter 21 Generalized Bargaining Protocols
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    Chapter 22 SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
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    Chapter 23 Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual Environments
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    Chapter 24 Transformed Successor Features for Transfer Reinforcement Learning
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    Chapter 25 Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing Approach
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    Chapter 26 Competitive Collaboration for Complex Task Learning in Agent Systems
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    Chapter 27 Limiting Inequalities in Repeated House and Task Allocation
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    Chapter 28 Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring
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    Chapter 29 Toward a Unified Framework for RGB and RGB-D Visual Navigation
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    Chapter 30 Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering
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    Chapter 31 Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
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    Chapter 32 A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
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    Chapter 33 XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks
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    Chapter 34 Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming
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    Chapter 35 Generating Collective Motion Behaviour Libraries Using Developmental Evolution
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    Chapter 36 A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
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    Chapter 37 Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
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    Chapter 38 A Study of Fitness Gains in Evolving Finite State Machines