Christian GUTTMANN

M.Sc., Dipl.-Inf., Fil.Mag., Ph.D.

Monash University

Faculty of Information Technology

Clayton School of Information Technology

Clayton, 3800

Melbourne, Australia

 

Phone: +61.(0)3 9575 2276

Email: firstname.lastname@gmail.com

(replace firstname and lastname)

Monash University

Faculty of Medicine

Department of General Practice, Bldg 1
270 Ferntree Gully Road
Notting Hill, 3168

Melbourne, Australia
 

Short Bio: Christian works as a research fellow in the Intelligent Collaborative Care Management (ICCM) project -- a joint project between the British Telecom, England and Monash University. He holds a PhD degree in Computer Science from Monash and two Master degrees from the University Paderborn, Germany, and from the Royal Institute of Technology in Stockholm, Sweden (and received an annual award for the best Master Thesis on artificial intelligence). Christian has many years of IT experience working for Hewlett Packard, Ericsson, Onestone Technology (acquired by IBM), and AgentArts Inc. (acquired by Fast Search and Transfer, then by Microsoft). He was invited to the Stanford Research Institute (SRI), Harvard University, Swedish Institute of Computer Science (SICS), Technical University of Delft, Utrecht University, University of Magdeburg, University of Duisburg/Essen.

 

Guttmann's resume (please request password by email)

Research

My research interests are:

 

  • Improving coordination through efficient computational mechanisms. Coordination problems are experienced in many engineered and natural systems. If these problems are not addressed adequately, they incur costs and waste many resources. Hence, one of my research interest is in understanding and improving coordination through efficient computational mechanisms. My PhD thesis offers an efficient algorithm that enables a panel of agents to quickly find (near-) optimal solutions to allocation problems.
  • Service oriented computing. Another interest is in optimising the provision of healthcare. Healthcare is expensive and requires effective measures to improve quality and costs of service coordination, particularly to patients with chronic disease. Hence, I have developed a strong interest in the interdisciplinary field of Medicine, Healthcare and Information Technology, and hope to offer valuable contributions to this field.
  • Incompleteness and uncertainty in management and organisational structures. Organisations must be run efficiently. My interest is in finding the underlying conditions that enable this efficiency.
  • Macro and micro simulation. Many experiments in real world situations are too expensive and too risky. Simulations are a cheaper way to form an initial understanding about the domain of interest. We can test how local interactions influence global consequences.
  • Complexity in social network. Linkedin and Facebook are just two prominent examples of social networks that bear great importance to their users. Many possible extensions would make this experience more sophisticated.
  • Behaviour monitoring, interpretation and modification. Obtaining information about the behaviour of people is important to improve their well-being, particularly in health and disease management. Such technology can assist in the daily care of the disabled, including elderly that have Alzheimer, as well as the rehabilitation of patients, including speech rehabilitation.

 

The Multi-Agent Systems paradigm is useful to study these issues.

Prospective students: Highly ambitious and capable students interested in completing a Master or PhD degree with me, please do not hesitate to contact me.

Professional Activities

 

Program/Reviewing Committee Member and Organiser

 

2009 AAMAS (Program Committee) International Joint Conference on Autonomous Agents & Multi Agent Systems

2009 AI09 (Workshop Chair) Australasian Conference on Artificial Intelligence

2009 MATES (Local Organiser, Session Chair) Multi-Agent Systems TechnologieS

2009 IGPL (Reviewer) Journal on Pure and Applied Logic (Special Issue: Modelling in Social Epistemology)

2009 AAMAS SOCASE (Program Committee) International Joint Conference on Autonomous Agents & Multi Agent Systems, Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering (SOCASE)

2009 IJCAI COIN (Program Committee) International Joint Conference of Artificial Intelligence – Workshop on Coordination, Organisation, Institutions, Norms (COIN)

2008 AMAI (Reviewer) Annals of Mathematics and Artificial Intelligence

2007 IJCAI (Program Committee) International Joint Conference of Artificial Intelligence

2007 Agents Victoria Workshop (Local Organiser) Melbourne University, Australia

2005 EIS (Reviewer) Journal Engineering Intelligent Systems

2004 CLEI (Reviewer) Latin American Conference of Informatics

1999 RoboCup (Co-leader) team of computer science graduates entering one of the most challenging competition, Royal Institute of Technology, Stockholm, Sweden

 

Publications

 

For a full list of my publications, please contact me.

 

Conference and Journal Articles

  1. Guttmann, Christian. Towards a Taxonomy of Decision Making Problems in Multi-Agent Systems. Proceedings of the Seventh German Conference on Multi Agent system TEchnologieS (MATES). Winfried Lamersdorf, Lars Braubach, Wiebe van der Hoek, Paolo Petta, Alexander Pokahr, Hamburg, Germany: Springer, 2009
  2. Sadedin, Suzanne and Guttmann, Christian. Promotion of Selfish Agents in Hierarchical Organisations. International Joint Conference of Artificial Intelligence – Workshop on Coordination, Organisation, Institutions, Norms (COIN), California, United States of America, 2009
  3. Guttmann, Christian and Georgeff, Michael and Rahwan, Iyad: Collective iterative allocation: Enabling fast and optimal group decision making, International Journal of Web Intelligence and Agent Systems, to appear in 2010. [bibtex] [pdf]
  4. Wickramasinghe, Kumari, Guttmann, Christian, Georgeff, Michael, Gharib, Hamid, Thomas, Ian Thompson, Simon and Schmidt, Heinz: Agent-based Intelligent Collaborative Care Management. Proceedings of Eighth International. Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Decker, Sichman, Sierra, and Castelfranchi (eds.), Budapest, Hungary, May, 10–15., 2009
  5. Guttmann, Christian: Making Allocations Collectively: Iterative Group Decision Making under Uncertainty, in Bergmann et al. (eds), Lecture Notes in Artificial Intelligence, Proceedings of the sixth German Conference of Multiagent System Technologies (MATES 2008), Springer-Verlag, Berlin, Germany, Vol 5244, pp 73-85, September 2008.[bibtex] [pdf]
  6. Guttmann, Christian and Rahwan, Iyad and Georgeff, Michael: An approach to the collective iterative task allocation problem, International Conference on Intelligent Agent Technology (IAT), ISBN 0-7695-3027-3, 2007.[bibtex] [pdf] (Nominated for best paper award)
  7. Guttmann, Christian and Zukerman, Ingrid: Agents with limited modeling abilities: Implications on collaborative problem solving, International Journal of Computer Systems Science and Engineering, ISSN 0267 6192, vol 21, ed 3, CRL Publishing Ltd, United Kingdom, pp. 183-196, May 2006.[bibtex] [pdf]
  8. Guttmann, Christian: ETAPP: A Collaboration Framework That Copes with Uncertainty Regarding Team, in A Mitrovic, P Brna and L Ardissono (eds), Lecture Notes in Artificial Intelligence, [Proceedings of the 10th International Conference on User Modeling, (UM'05), Edinburgh, Scotland, UK], Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, ISBN-10: 3-540-27885-0, ISBN-13: 978-540-27885-6, Vol 3538, pp 502-505, 24-29 July 2005. [bibtex] [pdf]
  9. Guttmann, Christian: ETAPP: A Framework of Agent Collaboration under Conditions of Uncertainty Regarding Team Members, (short paper), F Dignum, V Dignum, S Koenig, S Kraus et. al (eds), Proceedings of the 4th International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS 2005), Utrecht University, The Netherlands, Association for Computing Machinery, Inc. New York NY, USA, ISBN: 1595930930, pp 1378, 25-29 July 2005. [bibtex] [pdf]
  10. Guttmann, Christian and Zukerman, Ingrid: Voting Policies that Cope with Unreliable Agents, in F Dignum, V Dignum, S Koenig, S Kraus et. al (eds), Proceedings of the 4th International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS 2005), Utrecht University, The Netherlands, Association for Computing Machinery, New York, USA, ISBN: 1-59593-093-0, pp 365-372, 24-29 July 2005. [bibtex] [pdf]
  11. Zukerman, Ingrid and Guttmann, Christian: Modeling Agents That Exhibit Variable Performance in a Collaborative Setting, in A Mitrovic, P Brna and L Ardissono (eds), Lecture Notes in Artificial Intelligence, [Proceedings of the 10th International Conference on User Modeling, (UM'05), Edinburgh, Scotland, UK], Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, ISBN-10: 3-540-27885-0, ISBN-13: 978-540-27885-6, Vol 3538, pp 210-219, 24-29 July 2005. [bibtex] [pdf]
  12. Guttmann, Christian and Zukerman, Ingrid: Towards Models of Incomplete and Uncertain Knowledge of Collaborators' Internal Resources, in G Lindemann, J Denzinger, I J Timm and R Unland (eds), Lecture Notes in Artificial Intelligence, Proceedings of the 2nd German Conference of Multiagent System Technologies (MATES 2004), 2930, Erfurt, Germany], Springer-Verlag, Berlin, Germany, ISSN: 0302-9743 & ISBN: 3-540-23222-2, Vol 3187, pp 58-72, September 2004. [bibtex] [pdf]
  13. Boman, Magnus, Kevin LeBlanc, Christian Guttmann, Alessandro Saffiotti. Team Sweden. Manuela Veloso, Enrico Pagello, Hiroaki Kitano (Eds.): RoboCup-99: Robot Soccer World Cup III, LNCS 1856, Springer-Verlag, 2000

Dissertations

  1. Guttmann, Christian. Collective Iterative Allocation, Ph.D. thesis, Monash University, Melbourne, Australia 2008
  2. Guttmann, Christian. A Software Architecture for Four-legged Robots, Master’s thesis, Department of Computer and Systems Sciences, Stockholm University and the Royal Institute of Technology, December 1999
  3. Guttmann, Christian. Narrative Reasoning in Natural Language Dialogue Systems to Win User’s Trust, Minor Thesis (C-uppsats), Department of Department of Computer and Systems Sciences, Stockholm University and the Royal Institute of Technology, Sweden (submitted)