[AISWorld] IJCAI 2019 Workshop on Conceptual Modeling for Multi Agent Problem Solving - Deadline Extension and EMISAJ Fast Track

[Dominik Bork]

Please excuse if you receive this message mutliple times.

The submission deadline for the SMMAPS workshop has been *extended until 
April 30th*.

Moreover, we can now offer a fast-tracking to the *Enterprise Modeling 
and Information Systems Journal (EMISAJ) - Journal on Conceptual 
Modeling *for the best workshop papers.

*IJCAI 2019 Workshop on Conceptual Modeling for Multi Agent Problem Solving*

This workshop is one result of the Dagstuhl Seminar 18471 on 
Next-generation Domain-Specific Modeling: Principles and Methods 
<https://www.dagstuhl.de/de/programm/kalender/semhp/?semnr=18471>


  Call for Papers
  <http://vienna.omilab.org/repo/files/CM-MAPS/CM-MAPS2019-CfP-v4.pdf> (PDF-Download)

One of the initial aspects of artificial intelligence studied was 
problem-solving by autonomous systems. But it was quickly realized that 
many problems could not be solved by a single autonomous system, and in 
fact, a single system may not have a complete understanding of the 
complete problem being solved. Hence, with this as background, the area 
of cooperative problem solving, distributed artificial intelligence, and 
multi-agent systems as a comprehensive area have been established. The 
key point is that the original ideas of the problem are decomposed into 
sub-problems, agents (humans or systems) being assigned to work on 
sub-problems, and the need for cooperation among agents to solve the 
problem. And finally, establish a coordination framework to ensure that 
cooperation happens as intended, remain.

As AI is handling complex applications, like self-driving vehicles, to 
IoTs driven AI backed smart solutions, the core issues of the problem, 
sub-problems, cooperation, and coordination will surface, and become 
very relevant. In the implemented complex solutions, from IBM Watson's 
based systems to a conversational agent, the problem is attempted to 
solve made up of multiple subproblems, and yet, the characterization of 
the subproblems and their interrelationship is not explicitly 
represented. The representation can be languages that glue the 
coordination among deployed sub-systems or higher level artifacts that 
convey the overall cooperation to solve the problem.

Conceptual modeling based on a conceptual model has constructs with a 
well-defined meaning, and an ontology to convey by language or visual 
diagram the concepts, their attributes, and interrelationships among the 
concepts. The area of knowledge representation also uses constructs to 
represent and model knowledge for comprehension and processing. The 
knowledge graphs are primitive knowledge representation techniques that 
do not capture the processing and enactment aspects of the problem being 
solved by a multi-agent system. Further, cooperative frameworks driven 
AI-based systems provide new capabilities, discover extended 
relationships among constructs and solve the problems in a novel and 
creative way. Thus, new computing paradigms are wanted to address the 
key issues and challenges in modeling and development of new generation 
multi-agent systems.

The aim of the workshop is to bring the conceptual modelers, 
requirements specifiers, multi-agent language specifiers, formal process 
modelers, and cooperative problem solvers to get together and open this 
area of research to help the designers and solution providers of large 
AI systems to visualize, comprehend, discuss, evolve, and enact the AI 
system. Our proposed ideas from the workshop can help deploy, manage, 
monitor and control large AI systems, and work towards efficient and 
qualitatively better problem-solving multi-agent AI systems. These large 
AI systems can be orchestrated by the execution of tasks orchestrated by 
events and coordinated by a workflow management system.

The key topics of interest for the workshop are:

  * Conceptual artifacts to visualize and compose multi-agent problem
    solvers and their requirements
  * Languages to specify and reason about high-level problem solving
  * Cooperation frameworks among multiple agents to solve a problem
  * Task allocation and quality and efficiency issues
  * Workflow driven coordination to enact and deploy multi-agent problem
    solver
  * Formalisms to bridge conceptual and formal models for decision and
    learning multi-agent AI systems
  * Evolution and change management for multi-agent problem solving
  * Agent Capability modeling
  * Ontology modelling and specification for agent and problem solving

Submission


Submitted papers must be formatted according to IJCAI guidelines (check 
https://www.ijcai.org/authors_kit). All contributions should be atmost 
six (6) pages, five (5) pages maximum for content, and one (1) page for 
references.

Submissions should only be made electronically as PDF documents via 
paper submission site: 
https://easychair.org/my/conference.cgi?conf=cmmaps2019

Important Dates

  * Apr 30, 2019: Deadline for submission of contributions to the workshop
  * May 10, 2019: Paper acceptance/rejection notification
  * May 24, 2019: Deadline for camera-ready paper versions
  * Aug 10-12, 2019: IJCAI 2019 Workshops

*Organization*

Organizing Committee:

  * Kamal Karlapalem, IIIT Hyderabad, India, kamal at iiit.ac.in
    <mailto:kamal at iiit.ac.in>, https://www.iiit.ac.in/people/faculty/kamal/
  * P Radha Krishna, National Institute of Technology (NIT) Warangal,
    India prkrishna at nitw.ac.in <mailto:prkrishna at nitw.ac.in>,
    https://www.nitw.ac.in/faculty/id/16934/
  * Dominik Bork, University of Vienna, dominik.bork at univie.ac.at
    <mailto:dominik.bork at univie.ac.at>,
    http://homepage.dke.univie.ac.at/bork/

Program Committee (tentative):

  * Robert Andrei Buchman, Babes Bolyal University Cluj Napoca, Romania,
  * Yi CAI, South China Univ of Technology
  * Peter Fettke, Deutsche Forschungszentrum für Künstliche Intelligenz,
    Germany
  * Aurona Gerber, University of Pretoria, South Africa
  * Knut Hinkelmann, FHNW Northwestern Switzerland, Switzerland
  * Julio Cesar Leite, PUC de Rio de Janeiro, Rio de Janeiro, Brazil,
  * Maurizio Lenzerini, Università di Roma, Italy
  * Qing Li, Poly U, HK
  * Wolfgang Maass, Saarland University, Germany
  * Heinrich C. Mayr, Alpen-Adria Universität Klagenfurt, Austria
  * John Mylopoulos, University of Toronto
  * Praveen Paruchuri, IIIT Hyderabad, India
  * David V. Pynadath, USC Institute for Creative Technologies, USA
  * Kurt Sandkuhl, University of Rostock, Germany
  * Hannes Schlieter, TU Dresden, Germany
  * Bernhard Thalheim, Christian-Albrechts-University Kiel, Germany
  * Isabelle Wattiau, ESSEC Business School, Paris, France
  * Manuel Wimmer, JKU Linz, Austria
  * Robert Woitsch, BOC Asset Management GmbH, Vienna, Austria
  * Takahira Yamaguchi, Keio University, Japan
  * Yan Liu Fiona, Poly U, HK
  * Xiao-Ming Wu, Poly U, HK
  * Shuai Li, Poly U, HK

-- 
Dr. Dominik Bork
University of Vienna
Faculty of Computer Science
Research Group Knowledge Engineering
Room: 4.19
Währinger Straße 29, 1090 Vienna
Phone: +43-1-4277-789 22
eFax: +43-1-4277-878922