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» An Empirical Model of Communication in Multiagent Systems
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95
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ICC
2009
IEEE
154views Communications» more  ICC 2009»
15 years 4 months ago
Load Balancing vs. Distributed Rate Limiting: An Unifying Framework for Cloud Control
— With the expansion of cloud-based services, the question as to how to control usage of such large distributed systems has become increasingly important. Load balancing (LB), an...
Rade Stanojevic, Robert Shorten
95
Voted
ATAL
2010
Springer
14 years 10 months ago
Preference elicitation for risky prospects
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
Greg Hines, Kate Larson
93
Voted
INFOCOM
2006
IEEE
15 years 3 months ago
Sampling Techniques for Large, Dynamic Graphs
— Peer-to-peer systems are becoming increasingly popular, with millions of simultaneous users and a wide range of applications. Understanding existing systems and devising new pe...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
AI
2006
Springer
14 years 9 months ago
Generating and evaluating evaluative arguments
Evaluative arguments are pervasive in natural human communication. In countless situations people attempt to advise or persuade their interlocutors that something is desirable (vs...
Giuseppe Carenini, Johanna D. Moore
ATAL
2009
Springer
15 years 4 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...