Table of Contents

• Collaborative Qualitative Environment MappingAdeline Secolo, Paulo E. Santos, Patrick Doherty 0001, Zoran Sjanic. 3-15 [doi]
• Towards Learning Action Models from Narrative Text Through Extraction and Ordering of Structured EventsRuiqi Li, Patrik Haslum, Leyang Cui. 16-27 [doi]
• The Difficulty of Novelty Detection and Adaptation in Physical EnvironmentsVimukthini Pinto, Chathura Nagoda Gamage, Matthew Stephenson, Jochen Renz. 28-40 [doi]
• Lateral AI: Simulating Diversity in Virtual CommunitiesFedja Hadzic, Maya Krayneva. 41-53 [doi]
• Reports, Observations, and Belief ChangeAaron Hunter 0001. 54-65 [doi]
• A Prompting Framework to Enhance Language Model OutputHimath Ratnayake, Can Wang. 66-81 [doi]
• Epistemic Reasoning in Computational Machine EthicsRaynaldio Limarga, Yang Song 0001, Maurice Pagnucco, David Rajaratnam. 82-94 [doi]
• Using Social Sensing to Validate Flood Risk Modelling in EnglandJoshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel T. P. Williams. 95-106 [doi]
• Symbolic Data Analysis to Improve Completeness of Model Combination MethodsPedro Strecht, João Mendes-Moreira 0001, Carlos Soares. 107-119 [doi]
• CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property GraphsZiyu Zhao, Wei Liu 0006, Tim French 0002, Michael Stewart. 120-132 [doi]
• S5TR: Simple Single Stage Sequencer for Scene Text RecognitionZhijian Wu, Jun Li 0033, Jianhua Xu. 133-143 [doi]
• Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption PredictionTobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal 0001, Davor Stjelja. 147-159 [doi]
• Concept-Guided Interpretable Federated LearningJianan Yang, Guodong Long. 160-172 [doi]
• Systematic Analysis of the Impact of Label Noise Correction on ML FairnessInês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani. 173-184 [doi]
• Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature DomainLiangPing Li, Xun Gong, Chenzhong Wang, Weiji Kong. 185-196 [doi]
• Hybrid CNN-Interpreter: Interprete Local and Global Contexts for CNN-Based ModelsWenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai. 197-208 [doi]
• Impact of Fidelity and Robustness of Machine Learning Explanations on User TrustBo Wang, Jianlong Zhou, Yiqiao Li, Fang Chen 0001. 209-220 [doi]
• Interpretable Drawing Psychoanalysis via House-Tree-Person TestYaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu 0001. 221-233 [doi]
• A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable SelectionTrungTin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi. 234-245 [doi]
• Auction-Based Allocation of Location-Specific TasksFahimeh Ramezani 0002, Brendan Sims, Haris Aziz 0001. 249-260 [doi]
• Generalized Bargaining ProtocolsYasser Mohammad. 261-273 [doi]
• SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement LearningAndrew Chester 0001, Michael Dann, Fabio Zambetta, John Thangarajah. 274-285 [doi]
• Leaving the NavMesh: An Ablative Analysis of Deep Reinforcement Learning for Complex Navigation in 3D Virtual EnvironmentsDale Grant, Jaime Andres Garcia, William L. Raffe. 286-297 [doi]
• Transformed Successor Features for Transfer Reinforcement LearningKiyoshige Garcés, Junyu Xuan, Hua Zuo. 298-309 [doi]
• Cooperative Multi-Agent Reinforcement Learning with Dynamic Target Localization: A Reward Sharing ApproachHelani Wickramaarachchi, Michael Kirley, Nicholas Geard. 310-324 [doi]
• Competitive Collaboration for Complex Task Learning in Agent SystemsDilini Samarasinghe, Michael Barlow, Erandi Lakshika. 325-337 [doi]
• Limiting Inequalities in Repeated House and Task AllocationMartin Aleksandrov. 338-349 [doi]
• Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function MonitoringMaryem Hussein, Marwa Keshk, Aya Hussein. 350-362 [doi]
• Toward a Unified Framework for RGB and RGB-D Visual NavigationHeming Du, Zi Huang, Scott Chapman, Xin Yu 0002. 363-375 [doi]
• Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal FilteringLiang Ou, Thomas Do, Xuan-The Tran, Daniel Leong, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin. 376-386 [doi]
• Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak MinimizationVictoria Huang, Chen Wang 0013, Samik Datta, Bryce Chen, Gang Chen 0002, Hui Ma 0001. 387-399 [doi]
• A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic SchedulingMeng Xu 0008, Yi Mei 0001, Fangfang Zhang 0003, Mengjie Zhang 0001. 403-415 [doi]
• XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural NetworksTrevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei 0001. 416-428 [doi]
• Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic ProgrammingMohamad Rimas, Qi Chen 0002, Mengjie Zhang 0001. 429-440 [doi]
• Generating Collective Motion Behaviour Libraries Using Developmental EvolutionMd Mohiuddin Khan, Kathryn Kasmarik, Michael Barlow, Shadi Abpeikar, Huanneng Qiu, Essam Soliman Debie, Matt Garratt. 441-452 [doi]
• A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical MachinesZhengxin Fang, Hui Ma 0001, Gang Chen 0002, Sven Hartmann. 453-465 [doi]
• Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop SchedulingAtiya Masood, Gang Chen 0002, Yi Mei 0001, Harith Al-Sahaf, Mengjie Zhang 0001. 466-478 [doi]
• A Study of Fitness Gains in Evolving Finite State MachinesGabor Zoltai, Yue Xie, Frank Neumann 0001. 479-490 [doi]