Community Computing - Advanced Design Approaches to Emerging Software Systems - page 216

FUTURE RESEARCH DIRECTIONS Besselaar, P., Tanabe, M., & Ishida, T. (2002). In-

troduction: Digital cities research and open issues.
[Springer-Verlag.]. Lecture Notes in Computer
Science , 2362 , 1-9. doi:10.1007/3-540-45636-8_1

Despite our progress, our proposal suggests several
avenues for future work.

Blau, J. (2005). Microsoft: Community comput-
ing is on the way. InfoWorld Magazine . Retrieved
from http://www. infoworld.com/ article/ 05/ 11/
22/ HNcommunitycomputing _1.html

1. Improvement of the community situation
based cooperation model and situation
model: The present version of the coopera-
tion model is based on strict assumptions.
To apply it to broad application areas, we
need to develop more general models, or we
can consider several variations for particular
application domains.
2. Improvement of the proposed conflict
resolution scheme: In this paper, we simply
use a list which shows complicating actions
or the priority of communities. However, it
is not enough to prevent members' critical
resources from unauthorized access or to pro-
tect members' privacy. Therefore, we need to
be concerned about the security mechanism
for community computing systems in detail.
3. Various case studies: To convince others of
the effective value of community computing,
it will be helpful to present various feasible
case studies. The systems to protect people
from natural disasters or terrorist attacks
can be good examples. In addition, a system
of emergency medical treatment will be an
effective application domain.

Borghoff, U. M., & Schlichter, J. H. (Eds.). (2000).
Computer-supported cooperative work: Introduc-
tion to distributed applications . Berlin/Heidelberg,
Germany & New York, NY: Springer-Verlag.

Brazier, F. M. T., Jonker, C. M., & Treur, J.
(1997). Formalization of a cooperation model
based on joint intentions. In Proceedings of the
Third International Workshop on Agent Theories,
Architectures and Languages (ATAL'96), Lecture
Notes in Artificial Intelligence 1193 (pp. 141-155).
Springer.

Cabri, G., Leonardi, L., & Zambonelli, F. (2003).
A framework for flexible role-based interac-
tions in multi-agent system. In Proceedings of
Conference on Cooperative Information Systems
(CoopIS) [Berlin, Germany: Springer.]. Lecture
Notes in Computer Science , 2888 , 145-161.
doi:10.1007/978-3-540-39964-3_11

Cockburn, D., & Jennings, N. R. (Eds.). (1996).
ARCHON: A distributed artificial intelligence
system for industrial applications (pp. 319-344).
Wiley. Foundation of Distributed Artificial Intel-
ligence.

REFERENCES

Al-Muhtadi, J., Chetan, S., Ranganathan, A., &
Campbell, R. H. (2004, March). Super spaces:
A middleware for large-scale pervasive comput-
ing environments . Paper presented at the IEEE
International Workshop on Pervasive Computing
and Communications (Perware '04), Orlando,
Florida, USA.

Dey, A. K. (2001). Understanding and using con-
text. Personal and Ubiquitous Computing -Special
Issue on Situated Interaction and Ubiquitous
Computing, 5 (1), 4-7.

Elizabeth, M., & Hull, C. (1987). Occam - A
programming language for multiprocessor
systems. Computer Languages , 12 (1), 27-37.
doi:10.1016/0096-0551(87)90010-5