[agents] SE4AIS'17 (EXTENDED DEADLINE): EPIA Track

JORGE JESUS GOMEZ SANZ jjgomez at fdi.ucm.es
Fri Apr 14 11:28:52 EDT 2017


SE4AIS 2017: Software Engineering for Autonomous and Intelligent Systems
Faculty of Engineering
Porto, Portugal, September 5-8, 2017
Conference website http://web.fe.up.pt/~epia2017/thematic-tracks/se4ais
Submission deadline *Extended to May 1, 2017*
Topics: software engineering
<https://easychair.org/cfp/topic.cgi?a=14590032;tid=2621> artificial
intelligence <https://easychair.org/cfp/topic.cgi?tid=670;a=14590032> agent
oriented software engineering
<https://easychair.org/cfp/topic.cgi?tid=24083;a=14590032> multi agent
systems <https://easychair.org/cfp/topic.cgi?tid=3702;a=14590032>

SE4AIS (Software Engineering for Autonomous and Intelligent Systems) is a
Thematic Track at EPIA Conference on Artificial Intelligence.

The advent of systems that have strong AI/Robotics components will bring
dramatic changes to our society.  Such systems, also known as Systems 4.0,
are required to operate in increasingly complex, open, distributed,
dynamic, heterogeneous, and highly interactive application environments. In
order to do so, systems should encompass several dynamically interacting
components, each with their own thread of control, and engaging in complex
coordination and cooperation protocols.

The adoption of Systems 4.0 changes everything. In industry, it will lead
to what some people call the 4th industrial revolution. The impact does not
limit to industry, though. Systems 4.0 also have the potential of improve
our lives. The prospect of highly interacting and intelligent environments
has also the potential of coping with disabilities or impairments that
humans can have.

The purpose of this thematic track is to provide a high-profile,
internationally respected discussion forum on the most recent and
innovative scientific research in the areas of Software Engineering and AI
Systems. SE4AIS 2017 will appeal to any researcher and practitioner who is
interested in the theoretical and practical aspects of Software Engineering
and Artificial Intelligence, including Agent and Multi-Agent Software
Engineering. Both theoretical and practical research should be situated in
the context of existing or new methodologies for developing AI systems.
Contributions with emphasis on theoretical issues should make clear the
significance and relevance of those results to the community, while more
practical subjects should clearly relate the work with the state of the art
and make clear their contribution in other general applications.
Submission Guidelines

Submissions must be original and not published elsewhere.

Submissions can be of two types: *full* papers should not exceed twelve
(12) pages in length, whereas *short papers *should not exceed six (6)
pages.

Papers must adhere to the formatting instructions
<https://web.fe.up.pt/%7Eepia2017/call-for-papers/> of the conference. Each
submission will be peer reviewed by at least three members of the Program
Committee. The reviewing process is double blind, so authors should remove
names and affiliations from the submitted papers, and must take reasonable
care to assure anonymity during the review process.
List of Topics

   - Methodologies for AI based systems analysis and design
   - Agent-oriented requirements analysis and specification
   - UML and AI based systems
   - Model-driven architecture (MDA) for AI Based systems
   - Service-oriented computing in the context of AI based systems
   - Verification and validation techniques for AI based systems
   - Software development environments and CASE tools for AI based systems
   - Formal methods for AI based systems, including specification and
   verification logics
   - Model checking for AI based systems
   - Engineering of large-scale AI based systems;
   - Engineering Open AI Ecosystems;
   - Standardisations for AI based systems;
   - Re-use approaches for AI based systems, including design patterns,
   frameworks, components, and architectures
   - Implications of AI based systems on organizational and social
   structures within and between companies (e.g. changes in roles,
   responsibilities, transparency, business processes and decision schemes).
   - Practical applications of AI systems to specific domains, such as
   Ambient Assisted Living, Industry 4.0 or Smart X (Smart cities, Smart
   grids, ..), using engineering principles
   - Responsible Research and Innovation applied to the engineering of AI
   systems
   - Ethical principles applied to the engineering of AI systems

CommitteesProgram Committee

   - Daniel Silva, University of Porto, Portugal
   - Francisco Garijo, Universidad Complutense de Madrid, Spain
   - Franco Zambonelli, University of Modena and Reggio Emilia, Italy
   - Frédéric Migeon, IRIT, University of Toulouse III, France
   - Juan Botia, King’s College London, United Kingdom
   - Juan Garcia-Ojeda, Universidad Autónoma de Bucaramanga, Colombia
   - Holder Giese, University of Potsdam, Germany
   - Laszlo Gulyas, AITIA International Inc, Hungary
   - Massimo Conssentino, ICAR-CNR, Italy
   - Medhi Dastani, Universiteit Utrecht, The Netherlands
   - Michael Winikoff, University of Otago, New Zealand
   - Nikolaos Spanoudakis, Technical University of Crete, Greece
   - Ruben Fuentes, Universidad Complutense de Madrid, Spain
   - Rui Maranhão, University of Porto, Portugal
   - Tom Holvoet, KU Leuven, Belgium
   - Vincent Hilaire, Belfort-Montbeliard Technology University, France

Organizing committee

   - Ana Paula Rocha - LIACC, DEI/FEUP, University of Porto, Portugal
   - António J. M. Castro - LIACC, University of Porto, Portugal
   - Pavlos Moraitis - Paris Descartes University, France
   - Jorge Jesus Gomes Sanz - Universidad Complutense de Madrid, Spain

Publication

All accepted papers will be published by Springer in a volume of the
LNAI-Lecture Notes in Artificial Intelligence series (indexed by the
Thomson ISI Web of Knowledge and Scopus).
Venue

The conference will be held in Faculty of Engineering, Porto, Portugal.
Contact

All questions about submissions should be emailed to se4ais2017 at gmail.com


-- 
Dr. Jorge Gomez Sanz

Office 437
Facultad de Informática
Universidad Complutense de Madrid
28040 Madrid (Spain)

Phone: + 34 91 394 7644
Fax  : + 34 91 394 7547
email: jjgomez at sip.ucm.es
web:   http://grasia.fdi.ucm.es/jorge
twitter: @jjgomezs
Research:
-G.Scholar: http://tinyurl.com/boqr628
-Microsoft: http://tinyurl.com/cuzqdzj


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