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EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 8 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
ATAL
2004
Springer
15 years 8 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
123
Voted
FMCO
2004
Springer
112views Formal Methods» more  FMCO 2004»
15 years 8 months ago
Probabilistic Linda-Based Coordination Languages
Abstract. Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computation ...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
95
Voted
IPSN
2004
Springer
15 years 8 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
MWCN
2004
Springer
15 years 8 months ago
The Receiver's Dilemma
In Mobile Ad Hoc Networks (MANETs), each node has the capacity to act as a router. The performance of the MANET relies on how well the nodes perform this function. In simulations,...
John P. Mullen, Timothy Matis, Smriti Rangan