Membership Details (University/College)
Contact: Dr. L.C. Verbrugge
Member node: 051
L.C. Verbrugge
Kunstmatige Intelligentie
Grote Kruisstraat 2/1
9712 TS Groningen
The Netherlands
The Netherlands
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Description
The Multi-Agent Systems group at the University of Groningen has a
broad research spectrum.
We use multi-agent simulation as a tool to study market dynamics,
diffusion and transition processes. Agents are equipped with different
needs and decision heuristics such as social comparision,
deliberation, imitation etc. Simulation experiments provide a
perspective on the behavioural dynamics that play a role in certain
systems. Empirical research is targeted at the empirical validation of
these dynamics.
Simulations are also used for the modelling of group processes,
especially processes where collaboration problems such as (partially)
conflicting goals may occur. The way in which features of social
networks, such as friendship and trust, influence the collaboration of
task groups is of special interest. In particular, we model how social
networks and cooperative behaviour evolve through interdependent
social learning of group members. With this, we study the conditions
under which network structures emerge that foster or hamper the
solution of cooperation problems between interdependent agents.
Finally, formal, prescriptive multi-agent research is carried out in
order to build and facilitate cooperation in groups of agents. Special
attention goes to the modelling of (collective) intentions and
commitments, and how reconfiguration could take place in a changing
environment. In the Anita project, we create a multi-agent system
which dynamically manages access control of very sensitive information.
The members of our group regularly participate in program committees
of international agent-related conferences, and also organise
workshops on agent research, such as SIMSOC
(http://www.bdk.rug.nl/simsocvi/) and FAMAS
(http://www.ai.rug.nl/conf/famas/).
Article
Dunin-Keplicz, B. and Verbrugge, R.
(2002)
Collective intentions.
Fundamenta Informaticae, 51 (3).
.
Jager, W. and Janssen, M.A. and Vlek, C.A.J.
(2002)
How uncertainty stimulates overharvesting in a resource dilemma: Three process explanations.
Journal of Environmental Psychology (22).
.
Dignum, F. and Dunin-Keplicz, B. and Verbrugge, R.
(2001)
Creating collective intention through dialogue.
Logic Journal of the IGPL, 9 (1).
.
Janssen, M.A. and Jager, W.
(2001)
Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics.
Journal of Economic Psychology, 22.
.
Flache, A.
(2001)
Individual risk preferences and collective outcomes
in the evolution of exchange networks.
Rationality and Society, 13 (3).
.
Book Section
Jager, W. and Janssen, M.A.
(2003)
Diffusion processes in demographic transitions: A prospect on using multi agent simulation to explore the
role of cognitive strategies and social interactions.
In:
Agent Based Computational Demography: Using Simulation to Improve Our Understanding of Demographic Behaviour.
Springer-Verlag.
de Haan, H.W. and Hesselink, W.H. and Renardel de Lavalette, G.R.
(2003)
Knowledge-based programming inspired by an asynchronous hardware leader election problem.
In:
Proceedings of Formal Approaches in Multi-agent Systems (FAMAS03).
, Warsaw, Poland, .
Macy, M.W. and Flache, A.
(2002)
Learning dynamics in social dilemmas.
In:
Proceedings of the National Academy of Sciences.
, USA, .
Vuurpijl, L. and Schomaker, L.
(1998)
Multi-agent architectures for the classification of handwritten text.
In:
Proceedings IWFHR98.
, Taejon, Korea, .
Software
[Software] Helmhout, J.M. and Gazendam, H.W.M. and Jorna, R.J. and Roest, G.B.
(2006)
The Social Cognitive Actor: RBot. [Educational]
This list was generated on Mon Sep 10 16:38:46 BST 2007. |
