Scope and Background

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an annual global event focusing on AI theories, technologies, and their practical applications across scientific, social, and economic domains relevant to the Pacific Rim’s unique social and economic challenges. Previous PRICAI conferences have been held in Gold Coast (2014), Phuket (2016), Nanjing (2018), Fiji (2019), Yokohama (2020), Hanoi (2021), Shanghai (2022), and Jakarta (2023). The 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024) will be held at the Clock Tower Centennial Hall of Kyoto University in Kyoto, Japan. The Program Committee invites technical papers on substantial, original, and unpublished research in all areas of Artificial Intelligence. PRICAI 2024 aims to bring together researchers, practitioners, educators, and users in AI and related communities for in-depth intellectual exchanges, research cooperation, and professional development.

Paper Submission

Proceedings of PRICAI 2024 will be published by Springer as a Lecture Notes in Artificial Intelligence (LNAI) proceedings volume. PRICAI 2024 solicits regular and short papers. Regular papers may be up to 12 pages in length, including references, while short papers may be up to 6 pages, including references. All papers should be submitted electronically using the conference management tool in PDF format and formatted using the Springer LNAI template. Submitted papers must not be published or under consideration to be published elsewhere. PRICAI reviewing follows a double-blind process. Authors are unaware of the identities of the reviewers, and reviewers cannot deduce the names of the authors from the submission. Authors must refrain from including any information that might reveal their identities anywhere in the submission. Failure to adhere to this guideline could result in rejection without review.

Areas of Interest

The conference areas of interest include, but are not limited to:

    AI foundations
    AI regulations and ethics
    Agents
    Applications of AI
    Bayesian networks
    Big data analytics
    Bio-inspired intelligence
    Bioinformatics
    Causality
    Cognitive computing
    Cognitive systems
    Constraint satisfaction
    Data mining and knowledge discovery
    Knowledge acquisition and ontology
    Knowledge management
    Knowledge representation
    Machine learning
    Markov networks
    Multimedia and arts
    Multimodal interaction
    Natural Language Processing
    Neural Networks and Deep Learning
    Large Language Models
    Planning and scheduling
    Probabilistic inference
    Reasoning
    Decision theory
    Education and tutoring systems
    Education systems
    Evolutionary computation
    Explainable AI
    Foundational Models
    Game Theory
    Games and interactive entertainment
    Generative AI
    Heuristics
    Information retrieval
    Internet of things
    Responsible AI
    Robotics
    Search
    Semantic Web
    Social Choice Theory
    Social Intelligence
    Speech and dialogue systems
    Trustworthy AI
    Text/Web/Internet mining
    Uncertainty
    Vision and perception