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APIN
2006
142views more  APIN 2006»
15 years 1 months ago
Achieving dynamic, multi-commander, multi-mission planning and execution
The Multi-Agent Distributed Goal Satisfaction (MADGS) system facilitates distributed mission planning and execution in complex dynamic environments with a focus on distributed goal...
Eugene Santos, Scott A. DeLoach, Michael T. Cox
COMCOM
2006
118views more  COMCOM 2006»
15 years 1 months ago
A novel content-aware interleaving for wireless video transmission
In wireless network environments, the effect of transmission errors and losses on the video quality vary, depending on the intensity of the burst, and which parts of the video str...
Jeong-Yong Choi, Jitae Shin
CORR
2006
Springer
117views Education» more  CORR 2006»
15 years 1 months ago
The Gaussian Multiple Access Wire-Tap Channel with Collective Secrecy Constraints
We consider the Gaussian Multiple Access Wire-Tap Channel (GMAC-WT). In this scenario, multiple users communicate with an intended receiver in the presence of an intelligent and in...
Ender Tekin, Aylin Yener
EAAI
2006
78views more  EAAI 2006»
15 years 1 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...
JUCS
2008
139views more  JUCS 2008»
15 years 28 days ago
Parallel Strategies for Stochastic Evolution
: This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distributed parallel environment. VLSI cell placement is used as an optimization pro...
Sadiq M. Sait, Khawar S. Khan, Mustafa Imran Ali