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» Collective Intelligence, Data Routing and Braess' Paradox
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JAIR
2002
106views more  JAIR 2002»
13 years 4 months ago
Collective Intelligence, Data Routing and Braess' Paradox
We consider the problem of designing the the utility functions of the utility-maximizing agents in a multi-agent system (MAS) so that they work synergistically to maximize a globa...
David Wolpert, Kagan Tumer
AAAI
2000
13 years 6 months ago
Collective Intelligence and Braess' Paradox
We consider the use of multi-agent systems to control network routing. Conventional approaches to this task are based on Ideal Shortest Path routing Algorithm (ISPA), under which ...
Kagan Tumer, David Wolpert
ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
13 years 2 months ago
Mining Public Transport Usage for Personalised Intelligent Transport Systems
Traveller information, route planning, and service updates have become essential components of public transport systems: they help people navigate built environments by providing a...
Neal Lathia, Jon Froehlich, Licia Capra
SIGMETRICS
2011
ACM
296views Hardware» more  SIGMETRICS 2011»
12 years 7 months ago
Cellular data network infrastructure characterization and implication on mobile content placement
Despite the tremendous growth in the cellular data network usage due to the popularity of smartphones, so far there is rather limited understanding of the network infrastructure o...
Qiang Xu, Junxian Huang, Zhaoguang Wang, Feng Qian...
GIS
2008
ACM
14 years 5 months ago
Dynamic travel time provision for road networks
The application domain of intelligent transportation is plagued by a shortage of data sources that adequately assess traffic situations. Typically, to provide routing and navigati...
Dieter Pfoser, Sotiris Brakatsoulas, Petra Brosch,...