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CARE 2013 - The Fourth International Workshop on Collaborative Agents Research & Development

CARE for a Smarter Society

In conjunction with the 26th Australasian Joint Conference on Artificial Intelligence and the 16th Conference on Principles and Practices of Multi-Agent Systems.
Co-organized with AIH 2013 workshop.


Dr. Christian Guttmann

IBM Research - Australia


Dr. Fernando Koch

Samsung Research Institute Brazil



3rd December 2013.

Dunedin, New Zealand.


“CARE for Smarter Society” aims to discuss computational models of collaboration for Smarter Society scenarios, addressing theoretical and practical issues. This research and development will support the design of new applications and contribute to increasing quality of health and living, promoting citizen participation, and community engagement. We seek contributions of members in research and industry that apply AI and the agent paradigm to approach problems in areas of Smarter Societies. The CARE workshop series not only addresses a gap in the existing agent and AI landscape, but also aims to push the boundaries of existing work by addressing problems that are new to the agent community and that present the community with exciting applications.


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?


In "CARE for a Smarter Society" the application domains include (not an exhaustive list): healthcare, medicine, bio-engineering, large events coordination, emergency scenarios, smarter campuses, smarter buildings, smarter transportation, smarter education, and business processes. For example, it includes solutions for people orientation in large events, through enhanced navigation system allowing navigation route and destination planning according to user-specific criteria along with awareness of surrounding events and the availability of transportation resources.  In these scenarios, caring requires the coordination of team members in different organisations to work collaborative to attain a common goal: provide the best orientation for each citizen taking in consideration individuals' needs. Other examples include the long term care of patients with a chronic disease (patient care), support of students in their studies (student care), and service provision in telecommunication (customer care).


The one day workshop will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in intelligent systems for 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.



  • Andrew Koster

  • Anthony Patricia

  • Bastin Tony Roy Savarimuthu

  • Benjamin Hirsch

  • Carlos Cardonha

  • Cristiano Castelfranchi

  • David Morley

  • Diego GalloFrank Dignum

  • Franziska Klügl

  • Gordon McCalla

  • Ingo J. Timm

  • Inon Zuckerman

  • Jaime Sichman

  • Kobi Gal

  • Lars Braubach

  • Lawrence Cavedon

  • Leonardo Garrido

  • Liz Sonenberg

  • Magnus Boman

  • Marcelo Ribeiro

  • Martin Purvis

  • Meritxel Vinyals

  • Michae Thielscher

  • Neil Yrke-Smith

  • Priscilla Avegliano

  • Rainer Unland

  • Ryo Kanamori

  • Sankalp Khanna

  • Sarvapali Ramchurn

  • Sascha Ossowski

  • Shantanu Chakraborty

  • Sherief Abdallah

  • Simon Thompson

  • Simon Goss

  • Toby Walsh

  • Wayne Wobcke

  • Wei Chen

  • Zakaria Maamar




CARE is of interest to an academic and industrial research community that uses and extends AI and multi-agent systems. This edition's topics of interest include with no limitation:

  • 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 don’t really existent)?

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