The five-volume proceedings set LNAI 16451-16456, constitutes the refereed proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, held in Wellington, New Zealand, in November 17–21, 2025.The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions.The papers are organized in the following topical sections:Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learningPart II: Evolutionary Learning, Transfer and Continual Learning; Real-world ApplicationsPart III: Human-Centric AI; Large Language ModelsPart IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and OptimisationPart V: Computer Vision; Time Series Analysis

The five-volume proceedings set LNAI 16451-16456, constitutes the refereed proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, held in Wellington, New Zealand, in November 17–21, 2025.The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions.The papers are organized in the following topical sections:Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learningPart II: Evolutionary Learning, Transfer and Continual Learning; Real-world ApplicationsPart III: Human-Centric AI; Large Language ModelsPart IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and OptimisationPart V: Computer Vision; Time Series Analysis

The five-volume proceedings set LNAI 16451-16456, constitutes the refereed proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, held in Wellington, New Zealand, in November 17–21, 2025.The 197 full papers and 89 short papers included in this book were carefully reviewed and selected from 679 submissions.The papers are organized in the following topical sections:Part I:Clustering, Representation Learning, and Learning Systems; Deep learning; Graph learningPart II: Evolutionary Learning, Transfer and Continual Learning; Real-world ApplicationsPart III: Human-Centric AI; Large Language ModelsPart IV: Interpretability, Fairness, and Trustworthy AI; Multi-Agent; Natural Language Processing; Planning, Scheduling, and OptimisationPart V: Computer Vision; Time Series Analysis