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» Real world performance of choice-based conjoint models
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AI
1999
Springer
13 years 8 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
ICRA
2007
IEEE
130views Robotics» more  ICRA 2007»
14 years 2 months ago
The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search
— Designing algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be timeconsumi...
Jim Pugh, Alcherio Martinoli
AINA
2008
IEEE
14 years 3 months ago
Opportunistic Data Dissemination Using Real-World User Mobility Traces
— Opportunistic communication allows humans equipped with mobile devices to exchange information via a wireless link whenever they are nearby. This work examines the performance ...
Andreas Heinemann, Jussi Kangasharju, Max Müh...
ICISS
2007
Springer
14 years 2 months ago
Investigating the Impact of Real-World Factors on Internet Worm Propagation
This paper reports the results of our experimentation with modeling worm behavior on a large scale, fully adaptable network simulator. Our experiments focused on areas of worm scan...
Daniel A. Ray, Charles B. Ward, Bogdan Munteanu, J...
CC
2006
Springer
124views System Software» more  CC 2006»
14 years 9 days ago
Polyhedral Code Generation in the Real World
The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...
Nicolas Vasilache, Cédric Bastoul, Albert C...