CCF C类人工智能国际学术会议PRICAI 2026征稿通知
来源: 蒋运承/
华南师范大学
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2026-02-23

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an annual international event dedicated to exploring AI theories, technologies, and applications across areas of scientific, social, and economic importance for the Pacific Rim region. Over the years, the conference has been hosted in key locations, including Nagoya (1990), Seoul (1992), Beijing (1994), Cairns (1996), Singapore (1998), Melbourne (2000), Tokyo (2002), Auckland (2004), Guilin (2006), Hanoi (2008), Daegu (2010), Kuching (2012), Gold Coast (2014), Phuket (2016), Nanjing (2018), Fiji (2019), Yokohama (2020, online), Hanoi (2021, online), Shanghai (2022, hybrid), Jakarta (2023, hybrid), Kyoto (2024), and Wellington (2025).

  PRICAI 2026 will be held in person in Guangzhou, China. The Program Committee invites original, substantial, and unpublished technical papers on all areas of Artificial Intelligence. PRICAI-2026 aims to foster collaboration among researchers, practitioners, educators, and users within the AI community and related fields, promoting in-depth intellectual exchanges, research cooperation, and professional development.

PRICAI 2026The 23st Pacific Rim International Conference on Artificial Intelligence

Guangzhou, China | November 17-20, 2026

Website: https://2026.pricai.org/

Submission Link: https://easychair.org/conferences/?conf=pricai2026

Email: pricai2026@outlook.com

 

 

Important Dates

Paper Submission Due : Jun 13, 2026

Acceptance Notification: Aug 8, 2026

Camera-Ready Due: Aug 22, 2026

Main Conference: Nov 17-20, 2026

 

 

The 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
  • Decision Theory
  • Education and Tutoring Systems
  • Evolutionary Computation
  • Explainable AI
  • Foundational Models
  • Game Theory
  • Games and Interactive Entertainment
  • Generative AI
  • Heuristics
  • Information Retrieval
  • Internet of Things
  • Knowledge Acquisition and Ontology
  • Knowledge Management
  • Knowledge Representation
  • Large Language Models
  • Machine Learning
  • Markov Networks
  • Multimedia and Arts
  • Multimodal Interaction
  • Natural Language Processing
  • Neural Networks and Deep Learning
  • Planning and Scheduling
  • Probabilistic Inference
  • Reasoning
  • Responsible AI
  • Robotics
  • Search
  • Semantic Web
  • Social Choice Theory
  • Social Intelligence
  • Speech and Dialogue Systems
  • Text/Web/Internet Mining
  • Trustworthy AI
  • Uncertainty
  • Vision and Perception

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