HAIS'16 proceedings will be published by Springer in its series of Lecture Notes in Artificial Intelligence - LNAI (part of its prestigious Lecture Notes in Computer Science - LNCS series). All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS´16 will be reviewed by at least two members of the Program Committee.
All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.
Upload a PDF version of the complete manuscript. Individual papers in the HAIS 2016 LNAI proceedings should consist of 12 pages.
Online Submission System
Paper Submission And Publication
All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to HAIS'16 will be reviewed by at least two members of the Program Committee.
Papers must be prepared according to the LNCS-LNAI style template and should ideally not exceed 12 pages (Individual papers in the HAIS 2016 LNAI proceedings should consist of 12 pages), including figures and bibliography. Additional pages (over 12 pages) will be charged at 150 Euro each.
NOTICE: All papers for HAIS'16 must be submitted in electronic form (PDF format) through the link given below and must be prepared according to the Springer LNCS style template.
Lecture Notes in Artificial Intelligence
Series: Lecture Notes in Computer Science Series Editors: Goebel, R., Tanaka, Yuzuru, Wahlster, W.
LNAI was established in the mid-1980s as a topical subseries of LNCS focusing on artificial intelligence.
This subseries is devoted to the publication of state-of-the-art research results in artificial intelligence, at a high level and in both printed and electronic versions - making use of the well-established LNCS publication machinery. As with the LNCS mother series, proceedings and postproceedings are at the core of LNAI; however, all other sublines are available for LNAI as well.
The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.