
First International Workshop on:
Agent Technology
for
Disaster Management
(ATDM)
The workshop successfully took place on the
8th of May 2006 in Hakodate, Japan in conjunction with the Fifth International
Joint Conference on Autonomous Agents and Multi-agent Systems. The proceedings
as well as most of the presentations given at the workshop can be accessed from
the links below.
Proceedings of the workshop are available here (8MB): ATDM Papers
Papers accepted (click on the link
to get the presentation)
|
T. Takahashi |
Requirements to Agent Based Disaster
Simulations from Local Government Usages |
|
Y. Nakajima, H. Shiina, S. Yamane, H.
Yamaki, T. Ishida |
Protocol Description and platform in
massively multi-agent simulation |
|
A. Kleiner, N. Behrens, H. Kenn |
Wearable Computing meets Multi-agent
systems: a real world interface for the Robocup Rescue simulation
platform |
|
J. R. Velasco, M. A. Lopez-Carmona, M.
Sedano, M. Garijo, D. Larrabeiti, M. Calderon |
Role of Multi-agent system on minimalist
infrastructure for service provisioning in ad-hoc networks for
emergencies |
|
M. Boman, A. Ghaffar, F. Liljeros |
Social Network visualisation as a
race-to-trace tool |
|
P. R. Ferreira Jr., A. Bazzan |
Swarm-GAP: a swarm based approximation
algorithm for e-GAP |
|
G. Wickler, A. Tate, S. Potter |
Using the <I-N-C-A> constraint model as a
shared representation of intentions for emergency response coordination |
|
D. Yergens, T. Noseworthy, D. Hamilton, J.
Denzinger |
Agent-based simulation combined with
real-time remote surveillance for disaster response management |
|
J. Buford, G. Jakobson, L. Lewis, N.
Parameswaran, P. Ray |
D-AESOP: a situation aware BDI agent system
for disaster situation management |
|
J. Wang, M. Lewis, P. Scerri |
Cooperating Robots for search and rescue |
|
V. Mysore, G.
Narzisi, L. Nelson, D. Rekow, M. Triola, A. Shapiro, C.
Coleman, O. Gill, R. Daruwala and B. Mishra |
Emergency response planning for a potential
sarin gas attack in Manhattan using agent-based models |
|
D. Massaguer, V. Balasubramanian, S.
Mehrotra, N. Venkatasubramanian |
Multi-agent simulation of disaster response |
|
Vengfai R. U, N. Reed |
Enhancing agent capabilities in a large
rescue simulation system |
|
K. Keogh, L. Sonenberg |
Agent teamwork and reorganisation:
exploring and exploiting self-awareness in dynamic situations |
|
H. Matsui, K. Izumi, I. Noda |
Soft-restriction approach for traffic
management under disaster rescue situations |
|
M. Ivanyi, L. Gulyas |
Agent based simulation in disaster
management |
|
A. Farinelli |
Point to Point VS Broadcast Communication
for Conflict Resolution |
|
U. Tatalidede, H Levent Akin |
Planning for Bidding in Single item
Auctions |
|
Yohei Murakami, T. Ishida |
Participatory Simulation for Designing
Evacuation Protocols |
|
J. Reich, E. Sklar |
Toward Automatic Reconfiguration of
Robot-Sensor Networks for Urban Search and Rescue |
|
D. Chakraborty, S. Saha, S. Sen, B. Clement |
Negotiating assignment of disaster
monitoring tasks |
|
J. Oh, J. Hwang, S. Smith |
Agent Technologies for post-disaster urban
planning |
|
N. R. Jennings, S. D. Ramchurn, M.
Allen-Williams, R. K. Dash, P. S. Dutta, A. Rogers, I. Vetsikas |
The ALADDIN Project: Agent technology to
the rescue |
|
N. Schurr, P. Patil, F. Pighin, M. Tambe |
Lessons Learnt from Disaster Management |
Description
In the light
of recent events throughout the world, ranging from natural disasters such as the
Asian Tsunami and hurricane Katrina in New Orleans, to the man-made disasters
such as the London terrorist attacks, the topic of disaster management (also
known as emergency response) become a key concern and there is
now an overwhelming need for
better information technology to help support
their efficient and effective management.
Disaster
management requires that a number of actors, each with their own aims,
objectives, and resources, be able to coordinate their efforts in a number of
ways to prevent or manage the aftermath of a disaster. The techniques involved
may involve both centralized and decentralized coordination mechanisms that need
to operate in environments prone to uncertainty given the dynamic nature of
disasters. More specifically, the technical issues that agent-based technologies
can deal with include:
- Machine
learning algorithms that are efficient and effective in dynamic, multi-actor
environments that are uncertain and incomplete.
-
Coordination mechanisms that ensure desirable overall properties emerge
based on local actions and views.
-
Coordination mechanisms that enable collectives to plan and act
collaboratively in order to achieve common goals.
-
Techniques that enable an actor to effectively balance acting and
information gathering in dynamic, uncertain, multi-actor environments.
- Methods
for modelling and predicting the system behaviour that will ensue from
specifications of the local behaviour of the individual actors.
-
Techniques that enable an actor to fuse, in a decentralised manner,
inter-related information that is uncertain, incomplete, imprecise and
ambiguous.
-
Decentralised system architectures that can operate effectively in uncertain
and dynamic environments and that are robust, scaleable and flexible in
their operation.
Against this
background, this workshop invites works from different strands of the
multi-agent systems community that pertain to technologies that can be applied
in disaster management scenarios. In so doing, this workshop aims to provide a
forum for the discussion of issues arising in designing, implementing, or
simulating agent-based disaster management systems.
Keywords
Papers
should target applications of agent-based technology to the area of disaster
management. Also, position statements from ongoing projects concerned with
the application of information technology to disaster management are also
welcome. There are plans to invite authors of selected best papers to resubmit
in a special issue of a relevant journal (more details will be posted soon). Relevant
topics include but are not limited to the following:
-
Teamwork, Coordination, and Planning Mechanisms in dynamic and uncertain
environments.
-
Decentralised agent-based architectures.
-
Mechanism Design.
- Market
Mechanisms.
-
Multi-agent learning.
-
Decision making under uncertainty.
-
Autonomous robots and robot teams.
-
Agent-based simulation
- Distributed constraint
optimisation.
Submission Instructions
Papers should be formatted using the
ACM conference
style file and should be in pdf
format. All submissions must be emailed to sdr AT ecs dot soton dot ac
dot uk.
Paper lengths: Position
statements should not be more than 2 pages and Full papers should not be more
than 8 pages.
Important Dates:
February 1, 2006 ((Passed)):
Deadline for submitting
contributions to workshops.
February 19, 2006 ((Passed)):
Acceptance notification to
workshop authors.
May 8, 2006 ((Passed))
Workshop takes place in
conjunction with AAMAS 2006.
Paper review process
Papers were reviewed by 2 PC members each.
Organising Committee
Prof. Nicholas R. Jennings
(University of Southampton, UK)
Prof. Milind Tambe (University
of Southern California, USA)
Prof. Toru Ishida
(Kyoto University, Japan)
Programme Committee
Prof.
Austin Tate (AIAI, University of Edinburgh, UK)
Dr. Alessandro Farinelli (Università di
Roma ''La Sapienza', Italy)
Dr. Frank Fiedrich
(George Washington University, USA)
Dr.
Alex Rogers (University of Southampton, UK)
Prof. H. Levent Akin (Bogaziçi
University, Turkey)
Prof. Hitoshi Matsubara (Future University, Japan)
Dr.
Itsuki Noda (AIST, Ibaraki, Japan)
Dr. Jeff Bradshaw
(IHMC, USA)
Dr. Lin Padgham (RMIT, Australia)
Dr.
Partha Dutta (University of Southampton)
Dr. Paul Scerri
(Robotics Institute, CMU, USA)
Dr.
Ranjit Nair (Honeywell, USA)
Dr. Stephen Hailes
(University College London, UK)
Prof. Victor Lesser (University of Massachusetts, USA)
Prof. Tomoichi Takahashi
(Meijo University, Japan)
(last updated:
24/05/2006)