Environmental Engineering Reference
In-Depth Information
References
1.
A. Aamodt and E. Plaza. Case-based reasoning: Foundational issues, method-
ological variations, and system approaches.
AI Communications
, 7(1):39-59,
1994.
2.
M. Aarup, K. H. Munch, J. Fuchs, R. Hartmann, and T. Baud. Distributed
intelligence for ground space systems. In
Proc. Third International Symposium
on Artificial Intelligence, Robotics, and Automation for Space (I-SAIRAS 94)
,
pages 67-70, Pasadena, CA (USA), 18-20 April 1994. Jet Propulsion Labora-
tory.
3.
M.Agarwal,V.Bhat,H.Liu,V.Matossian,V.Putty,C.Schmidt,G.Ahang,
L. Zhen, M. Parashar, B. Khargharia, and S. Hariri. AutoMate: Enabling au-
tonomic applications on the grid. In
Proc. The Autonomic Computing Work-
shop, 5th Int. Workshop on Active Middleware Services (AMS'03)
, Seattle, WA
(USA), 25 June 2003.
4.
S. Aiber, O. Etzion, and S. Wasserkrug. The utilization of AI techniques in
the autonomic monitoring and optimization of business objectives. In
IJCAI
Workshop on AI and Autonomic Computing: Developing a Research Agenda
for Self-Managing Computer Systems
, Acapulco (Mexico), 10 August 2003.
5.
J. Allen.
Natural Language Understanding
. Benjamin Cummings Publishing
Company, 1994.
6.
E. A. Alluisi. The development of technology for collective training: SIMNET,
acasehistory.InL.D.Voss,editor,
A Revolution in Simulation: Distributed
Interaction in the '90s and Beyond
. Pasha Publications, Arlington, VA (USA),
1991.
7.
T. Ames and S. Henderson. The workplace distributed processing environ-
ment. In C. Hostetter, editor,
Proc. 1993 Goddard Conference on Space Appli-
cations of Artificial Intelligence
, pages 181-188, Greenbelt, MD (USA), 10-13
May 1993. NASA Goddard Space Flight Center, NASA Conference Publication
3200.
8.
A. Avizienis, J.-C. Laprie, B. Randell, and C. Landwehr. Basic concepts and
taxonomy of dependable and secure computing.
IEEE Transactions on De-
pendable and Secure Computing
, 1(1):11-33, 2004.
9.
T. Balch, A. Feldman, and Z. Khan. Automatic classification of insect behavior
using computer vision and behavior recognition. In
Proc. Second International
