Sciweavers

132 search results - page 2 / 27
» Adversarial Behavior in Multi-agent Systems
Sort
View
AAAI
2012
11 years 7 months ago
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...
CGF
2005
116views more  CGF 2005»
13 years 5 months ago
RenderBots-Multi-Agent Systems for Direct Image Generation
The term stroke-based rendering collectively describes techniques where images are generated from elements that are usually larger than a pixel. These techniques lend themselves w...
Stefan Schlechtweg, Tobias Germer, Thomas Strothot...
IJNSEC
2007
144views more  IJNSEC 2007»
13 years 5 months ago
IPLess Stochastic Anonymous Routing Algorithm Using Multi-Agent Systems
The ability of communicating with a selected party anonymously is an important aspect of network security. Communicating anonymously means that no adversary can discern who is com...
Magdy Saeb, Meer Hamza, Ahmed El-Shikh
KESAMSTA
2009
Springer
13 years 9 months ago
Structural Changes in an Email-Based Social Network
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
Krzysztof Juszczyszyn, Katarzyna Musial
IAT
2003
IEEE
13 years 10 months ago
Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems
This paper defines an approach to simulation of natural systems, inspired by complex systems theory. A complex natural system is modeled as a multi-agent simulation system, agents...
Henk Stolk, Kevin Gates, Jim Hanan