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CARE 2018 - The Nineth International Workshop on Collaborative Agents Research & Development

CARE for Smarter Health

In collaboration with the Joint Workshop on Artificial Intelligence for Health

In conjunction with IJCAI-ECAI-18, July 14, 2018, Stockholm, Sweden

In conjunction with the ECAI/IJCAI, AAMAS and ICML conferences (IJCAI 2018). 


  • Prof. Dr. Christian Guttmann, University of New South Wales, Australia & Karolinska Institute & Nordic AI Institute & Tieto, Sweden

  • Dr. Andrew Koster, IIIA-CSIC & Universitat Autonoma de Barcelona, Spain 

  • Dr. Fernando Koch^The University of Melbourne, Australia 


"CARE for Smarter Health” is a track of the Joint Workshop on Artificial Intelligence for Health, in conjunction with IJCAI-ECAI-18, to be held between July 14-15, 2018, in Stockholm, Sweden.

This track aims to discuss computational models, social computing, decision support systems, and agent-based technology, both theoretical models as well as research applied to practical solutions related to Healthcare and Medicine, including (non exhaustive list):

  • Personalised Healthcare

  • Ethical Issues of AI and Health

  • Distributed Healthcare Systems

  • Social Computing in Healthcare

  • Decision support systems in Healthcare

  • Care for Chronic Conditions with AI Support

  • Deep Learning in Medicine

  • Medical Expert Systems

  • Care Team Coordination and Collaboration

  • Medical Robotics, Drones, Surgery, Prosthetics

  • Chatbots in Healthcare

  • Social Media Analysis for Epidemiology

The CARE workshops series promotes the research agenda around topics relevant to the future of the society aiming at novel technologies, translate research into industry, and solutions directly applicable to societal problems.


The discussion will address questions such as: How to create and combine currently scientific paradigms and disruptive technologies that enable the next generation of solutions for challenging scenarios in health and socially-centred applications? How can we create computational models, representations, algorithms and protocols to enable the next generation of intelligent collaborative technologies? And finally, how to translate these advanced research into industry solutions?

The full-day event will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in AI, agent  and machine learning research and technology applied to health.


Koch, F., Koster, A., Riaño, D., Montagna, S., Schumacher, M., ten Teije, A., Guttmann, C., Reichert, M., Bichindaritz, I., Herrero, P., Lenz, R., Lopez, B., Marling, C., Martin, C., Montani, S., Wiratunga, N. (2018), Artificial Intelligence in Health. Lecture Notes in Artificial Intelligence, Vol 11326, Pub Springer. 245 pp. ISBN 978-3-030-12738-1.



CARE for Smarter Health opens a forum to discuss innovation around AI, Computational Intelligence, decision support systems, and agent-based computing models and technologies that lead to collaborative approaches for pressing problems in the healthcare segment. Topics of interest include:

  • How agent technology can help to analyse and act on vast amounts of complex data?

  • How to build a model of collaborative behaviour in practical applications?

  • How to build and incorporate Decision Support technology to advance Healthcare solutions?

  • How to combine Social Analytics and Social computing into Healthcare?

  • How organisational structures influence the negotiation of agents and the distribution/execution of tasks?

  • How to enable an effective communication infrastructure for collaborative interaction?

  • How to construct agent-based models of social behaviour, aiming to understand, model, and influence complex behaviour, group behaviour, and the impact of micro-macro actions upon the system?

  • How to deploy lifecycle management systems in real world applications, particularly healthcare.

  • 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 in practical scenarios?

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