CARE: Collaborative Agents - REsearch and Development



Past:   Proceedings on DBLP

Future:  Post a CFP for 2014 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
CARE 2013 Collaborative Agents -- Research & Development (CARE)
Dec 3, 2013 - Dec 3, 2013 Dunedin, New Zealand Sep 15, 2013
CARE 2011 3rd International Workshop on Collaborative Agents -- REsearch and Development (CARE) 2011
May 2, 2011 - May 2, 2011 Taipei, Taiwan Feb 11, 2011
CARE 2010 Second International Workshop on Collaborative Agents -- REsearch and development (CARE)
Aug 31, 2010 - Aug 31, 2010 Toronto, Canada Apr 16, 2010 (Apr 14, 2010)
CARE 2009 International Workshop on Collaborative Agents -- REsearch and Development (CARE) 2009
Dec 1, 2009 - Dec 1, 2009 Melbourne, Australia Oct 30, 2009 (Oct 27, 2009)

Present CFP : 2013



Fourth International Workshop on

* Collaborative Agents -- Research & Development (CARE) 2013 *
** CARE for a Smarter Society **

Full paper submission: September 15th, 2013

Dunedin, New Zealand, 3 Dec 2013


The workshop is held in conjunction with the 26th Australasian Joint Conference on Artificial Intelligence
(, and the 16th Conference on Principles and Practice of Multi-Agent Systems

Workshop Summary

The topic of this year's workshop is "CARE for a Smarter Society" and associated tracks. The workshop aims to foster discussions on computational models of collaboration that contribute to increasing quality of health and living, promoting citizen participation, and community engagement. The CARE workshop series not only addresses a gap in the existing agent and AI landscape, but also tries to push the boundaries of existing work by addressing a problem that is relatively new to the agent community and that presents the community with exciting applications. We seek contributions of members in research and industry that apply AI and the agent paradigm to approach problems in areas of Smarter Societies.

Collaborative care is today's primary means to achieve complex outcomes and to increase the lifetime value of the cared entities. Collaboration enables agents to achieve complex goals that are difficult or impossible to attain for an individual agent. This collaboration takes place under conditions of incomplete information, uncertainty, and bounded rationality, much of which has been previously studied in economics and artificial intelligence. However, many real world domains are characterised by even greater complexity, including the possibility of unreliable and non-complying collaborators, complex market and incentive frameworks, and complex transaction costs and organisational structures. How can we create computational models, representations, algorithms and protocols to enable the next generation of intelligent collaborative care technologies? How can we build technologies that support collaboration under this complexity and uncertainty?

The one day workshop will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in collaborative agent research and technology. The workshop environment fosters open discussions among all participants, particularly encouraging students to discuss their research topics and seek feedback from senior agent researchers.

Topics of Interest include (but are not limited to)

CARE seeks contributions for the area of a smarter society.

Smarter Society - new models and technologies that lead collaborative approaches for problems in Smarter Cities, Smarter Health Care, intelligent campuses, intelligent work places, social networking, education, health informatics, and others.

There will be a special track on **Agent-Based Systems for Energy and Environmental Sustainability (ABSEES)**. This track investigates how agent-based technology in conjunction with AI techniques can be used to explore a) the design and development of novel (smart) energy-related systems, b) suitable methodologies, techniques and tools to create sustainable energy systems and c) mechanisms for facilitating sustainable behaviour in several domains (e.g. transportation, urban planning) among a variety of user-roles (i.e. different types of users). The reviews and proceedings of this track will be handled by the ABSEES track chairs.

ABSEES Track Chairs:
Maryam Purvis,
Takayuki Ito,

We also consider a demo session, where participants can present practical applications and proof-of-concepts using new models and technologies for collaborative approaches in Smarter Societies, Smarter Health, Smarter Energy, and any other related area.

Important Dates

Paper submission deadline: September 15, 2013
Notification of acceptance: Oct 1, 2013.
Camera-ready copies due: Oct 15, 2013
Workshop Date: Dec 3, 2013

Research Questions

- How to collaborative agent technology can help to analyse vast amounts of complex social data?
- How to build a model of the features of individuals (citizens/customer/patient behaviour)?
- How to construct agent-based models of social behaviour?
- How organisational structures influence the negotiation of agents and the distribution/execution of tasks?
- How can we support/guide collaborative teams in scenarios like Collaborative Research, Resilient Societies, and Disaster Resilience?
- How to apply agents for the next generation of Social Analytics systems in Smarter Societies?
- How can we offer flexibility in the way how teams execute plans?
- How to enable an effective communication infrastructure for collaborative care (possibly including humans and agents).
- How to build a model of the features of individuals (customer/patient behaviour).
- How to build comprehensive customer lifecycle management systems for customers, including telecommunication consumers, students and patients.
- How can we make team members follow agreed procedures (Incentives? Or more fundamental, by designing a new market?)
- How to deploy lifecycle management systems in real world applications, such as healthcare, telecommunication, and smart campuses.
- How to design markets that are adequate for agents to act with incomplete and uncertain information?
- How to build MAS that work efficiently in partially regulated markets (where governance policy or partnership agreements govern part of the market).
- How can we make individuals encourage to perform activities to stay on-track and achieve desired outcomes (incentive frameworks)?
- How can we enable flexible, goal-driven and contextualised plan creation and business process management (including intelligent execution, monitoring, management, and optimization of business processes)?
- How to build an effective monitoring-recognition-intervention framework?
- What role does learning and adaptivity play in building organisational MAS?
- How to deal with partially regulated markets (free markets are possibly an unrealistic paradigm as they donít really existent)?

Submission and Publication

Submission is done electronically at Easychair: Submissions should be formatted according to LNCS specification and submitted as a PDF file. Instructions and templates can be found at:

CARE 2013 seeks three types of submissions:
- Full paper of 12 pages.
- Short paper of 4 pages (such as position and early result papers) are welcome with the option of extending it to a full paper for the post-proceedings.
- Demo paper of 4 pages describing a demonstration. This work will then be presented in the demo session of the workshop.

Please indicate if your contribution is for the ABSEES track in your submission.

Submissions will be peer-reviewed by three reviewers per paper. Selection criteria will include relevance, significance, impact, originality, technical soundness, quality of presentation. Some preference may also be given to papers which address emergent trends or important common themes, or which enhance balance of workshop topics.

We plan to publish selected papers as Springer proceedings.
(Springer Proceedings with CARE can be found here:

Workshop Officials

Christian Guttmann (IBM Research -- Australia),
Fernando Koch (IBM Research -- Brazil),

Wei Chen, Intelligent Automation, Inc., United States of America
Michael Luck, King's College London, United Kingdom
Kobi Gal, Harvard University, United States of America
Fredrik Heintz, Linkoping University, Sweden
Lawrence Cavedon, NICTA and RMIT University, Australia
Michael Thielscher, University of New South Wales, Australia
Birna van Riemsdijk, Delft University of Technology, Netherlands
Cristiano Castelfranchi, Institute of Cognitive Sciences and Technologies, Italy
Leonardo Garrido, TecnolÛgico de Monterrey, Mexico
Inon Zuckerman, University of Maryland, USA
Neil Yorke-Smith, American University of Beirut, Libanon and SRI International, USA
Magnus Boman, Royal Institute of Technology, Sweden
Zakaria Maamar, Zayed University, UAE
Samin Karim, University of Melbourne, Australia
Cees Witteveen, Delft University of Technology, Netherlands
Franziska Kl¸gl, ÷rebro University, Sweden
Toby Walsh, NICTA and UNSW, Australia
Cristiano Castelfranchi, Institute of Cognitive Sciences and Technologies, Italy
Alexander Pokahr, University Hamburg, Germany
Lars Brauchbach, University Hamburg, Germany
Wayne Wobcke, University of New South Wales, Australia
Rainer Unland, University of Duisburg-Essen, Germany
Liz Sonenberg, Melbourne University, Australia
Kumari Wickramasinghe, Monash University, Australia
Simon Thompson, British Telecom Research Laboratories, United Kingdom
Sascha Ossowski, University Rey Juan Carlos, Spain
Gord McCalla, University of Saskatchewan, Canada
Andrew Gilpin, Hg Analytics, United States of America
David Morley, SRI International, United States of America
Marcelo Blois Ribeiro, Pontifical Catholic University of Rio Grande do Sul, Brazil
Simon Goss, Defence Science and Technology Organisation DSTO, Australia
Martin Purvis, University of Otago, New Zealand
Tony Bastin Roy Savarmiuthu, University of Otago, New Zealand
Patricia Anthony, Lincoln University, New Zealand
Enrico Gerding, University of Southampton, UK
Meritxell Vinyals, University of Verona, Italy
Shantanu Chakraborty, Nagoya Institute of Technology, Japan
Gopal Ramchurn, University of Southampton, UK
Ryo Kanamori, Nagoya Institute of Technology, Japan

Previous CARE workshops:
CARE@AI 2009, Melbourne, Australia
CARE@IAT 2010, Toronto, Canada
CARE@AAMAS 2011, Taipei, Taiwan

Previous CARE Springer book:

Online Discussion Groups

For the purpose of announcements and future collaboration on the
workshop topics, professional network groups on Linkedin have been
created: CARE and AAMAS. CARE has reached a membership of 50 research
professionals, and AAMAS has now almost 1000 professional members (mostly
professors, senior researchers and PhD students that have made
contribution to the field of agents, or have a keen interest
in the subject matter). These two forums are used extensively to discuss
AAMAS as well as CARE specific topics.

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