46 search results - page 2 / 10 » Linear Systems with Large Uncertainties, with Applications t... |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
CCE
2006
13 years 7 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
ATAL
2004
Springer
14 years 26 days ago
2004
Springer
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
COLCOM
2005
IEEE
14 years 1 months ago
2005
IEEE
In contrast to a large body of theoretical work on computer systems, distributed systems are not idealised constructions, unconstrained by physical world limitations. They must be...
AAAI
1998
13 years 8 months ago
1998
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...