Abbrevation
PRICAI
City
Nanjing
Country
China
Deadline Paper
Start Date
End Date
Abstract

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which concentrates on AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim&#046; The 15th PRICAI (2018) will be held in Nanjing, China&#046;<br>The Program Committee invites technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence&#046; PRICAI&#8211;2018 aims to bring together researchers, practitioners, educators and users in AI and related communities for in&#8211;depth intellectual exchanges, research cooperation and professional development&#046;<br>Paper Submission<br>Proceedings of PRICAI&#8211;2018 will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series&#046; Selected papers will be considered to publish on SCI indexed journals, such as Frontiers of Computer Science&#046; All papers should be submitted electronically using the conference management tool in PDF/DOC format and formatted using the Springer LNAI template&#046; Submitted papers should not exceed 12 pages (excluding references)&#046; Submitted papers must not be published or under consideration to be published elsewhere&#046;<br>PRICAI reviewing is double blind, i&#046;e&#046;, the authors do not know the names of the reviewers, and the reviewers cannot infer the names of the authors from the submission&#046; The authors should avoid providing information that may identify themselves in any part of the submission&#046; Violation of this guideline may lead to rejection without review&#046;<br>Paper submission link*: https://easychair&#046;org/conferences/?conf=pricai2018&#046;<br>*If the paper is submitted to the Special Track on Smart Modelling and Simulation, please choose the option "Submit to the &#8242;Smart Modelling and Simulation&#8242; special track" in the submission form&#046;<br><div>*If the paper is submitted to the Special Track on Reinforcement Learning, please choose the option "Submit to the &#8242;Reinforcement Learning&#8242; special track" in the submission form&#046;<br></div><div><br></div>