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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index) and Scopus.


Special session proposals are accepted until:

October 17, 2019


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SPECIAL SESSIONS LIST

HAMT 2020Special Session on Human-centric Applications of Multi-agent Technologies
Chair(s): Yasushi Kambayashi

NLPinAI 2020Special Session on Natural Language Processing in Artificial Intelligence
Chair(s): Roussanka Loukanova

ARTIDIGH 2020Artificial Intelligence and Digital Heritage: Challenges and Opportunities
Chair(s): Andreas Weber, Marieke van Erp and Maarten Heerlien

Special Session on Human-centric Applications of Multi-agent Technologies - HAMT 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Chair

Yasushi Kambayashi
Nippon Institute of Technology
Japan
e-mail
 
Scope

Today, we are witnessing the advent of ubiquitous computing. Computers are not special machines, they are common apparatus. We are using computers without any special attention. Therefore computational technologies should become human centric; multi-agent systems are not exception. Human centric applications should be one of the mainstreams of multi-agent technologies. In this session, we would like to meet with various background research scientists as well as industry specialists to discuss how we can make various agent technologies, support the welfare of humanity. Through this session, we would like to foster any inspirations for designing and developing novel computational applications based on agent technologies as well as communication technologies such as Content-Centric Network technology to support human beings. 


Special Session on Natural Language Processing in Artificial Intelligence - NLPinAI 2020

Paper Submission: December 19, 2019
Authors Notification: January 9, 2020
Camera Ready and Registration: January 17, 2020


Chair

Roussanka Loukanova
Stockholm University
Sweden
e-mail
 
Scope

Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Furthermore, agents (humans or computational systems) are information conveyors, interpreters, or participate as components of informational content. Generally, language processing depends on agents' knowledge, reasoning, perspectives, and interactions.


Artificial Intelligence and Digital Heritage: Challenges and Opportunities - ARTIDIGH 2020

Paper Submission: November 15, 2019
Authors Notification: December 15, 2019
Camera Ready and Registration: January 17, 2020


Co-chairs

Andreas Weber
University of Twente
Netherlands
e-mail
 
Marieke van Erp
Digital Humanities Lab KNAW Humanities Cluster
Netherlands
e-mail
 
Maarten Heerlien
Rijksmuseum Amsterdam
Netherlands
e-mail
 
Scope

With the help of artificial intelligence-powered services and tools the heritage sector is working towards the next level of access to and (re)use of digitized collections. In recent years libraries, archives and museums have started to apply machine learning and advanced knowledge bases to contextually enrich digitized objects, audio-visual content and texts and to make these retrievable in novel ways. In doing so institutions aim to increase the impact of their collections among a growing and diversifying audience. This special session welcomes papers that reflect upon, discuss and present the technical and societal challenges (e.g. labour to produce labeled datasets, heterogeneity of data, bias in training sets) digital heritage professionals and researchers are facing when trying to capitalise on the transformative power of artificial intelligence in the context of digital archive, image, and audio/visual collections. Next to position papers, we are also looking for papers in which project consortia discuss their approach and present first results.


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