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PRICAI 2024 2024 : The 21st Pacific Rim International Conference on Artificial Intelligence


When Nov 18, 2024 - Nov 24, 2024
Where Clock Tower Centennial Hall Kyoto Univer
Submission Deadline Jun 12, 2024
Notification Due Aug 7, 2024
Final Version Due Aug 22, 2024
Categories    artificial intelligence   machine learning   agents   decision theory

Call For Papers

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 The Program Committee invites technical papers on substantial, original, and unpublished research in all areas of Artificial Intelligence.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.

Important Dates:
・Paper Submission Deadline: June 12th, 2024
・Acceptance Notification: August 7th, 2024
・Camera-Ready Submission: August 22nd, 2024
・Conference: November 18-24th, 2024

Submission Guidelines:
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 Submitted papers must not be published or under consideration to be published elsewhere.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.

List of Topics:
・AI foundations
・AI regulations and ethics
・Applications of AI
・Bayesian networks
・Big data analytics
・Bio-inspired intelligence
・Cognitive computing
・Cognitive systems
・Constraint satisfaction
・Data mining and knowledge discovery
・Decision theory
・Education and tutoring systems
・Education systems
・Evolutionary computation
・Explainable AI
・Foundational Models
・Game Theory
・Games and interactive entertainment
・Generative AI
・Information retrieval
・Internet of things
・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
・Responsible AI
・Semantic Web
・Social Choice Theory
・Social Intelligence
・Speech and dialogue systems
・Trustworthy AI
・Text/Web/Internet mining
・Vision and perception

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