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ATAL
2003
Springer
13 years 9 months ago
Scheduling tasks with precedence constraints to solicit desirable bid combinations
In our previous research we suggested an approach to maximizing agents preferences over schedules of multiple tasks with temporal and precedence constraints. The proposed approach...
Alexander Babanov, John Collins, Maria L. Gini
RE
2004
Springer
13 years 10 months ago
Architecture-driven Problem Decomposition
Jackson’s Problem Frames provide a means of analysing and decomposing problems. They emphasise the world outside the computer helping the developer to focus on the problem domai...
Lucia Rapanotti, Jon G. Hall, Michael Jackson, Bas...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar
ATAL
2005
Springer
13 years 10 months ago
Tunably decentralized algorithms for cooperative target observation
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...
HICSS
2008
IEEE
130views Biometrics» more  HICSS 2008»
13 years 11 months ago
Enterprise Modeling for Information System Development within MDA
Object-oriented analysis suggests semiformal usecase driven techniques for problem domain modeling from a computation independent viewpoint. The proposed approach called Topologic...
Janis Osis, Erika Asnina
ER
2009
Springer
79views Database» more  ER 2009»
13 years 11 months ago
Modeling Domain Variability in Requirements Engineering with Contexts
Various characteristics of the problem domain define the context in which the system is to operate and thus impact heavily on its requirements. However, most requirements specifica...
Alexei Lapouchnian, John Mylopoulos
CVPR
2000
IEEE
14 years 6 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...