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ATAL
2005
Springer
14 years 3 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
ACL
1990
13 years 11 months ago
Normal State Implicature
In the right situation, a speaker can use an unqualified indefinite description without being misunderstood. This use of language, normal slate implicature, is a kind of conversat...
Nancy Green
CCE
2007
13 years 10 months ago
Reliable computation of equilibrium states and bifurcations in ecological systems analysis
A problem of frequent interest in analyzing nonlinear ODE models of ecological systems is the location of equilibrium states and bifurcations. Interval-Newton techniques are explo...
C. Ryan Gwaltney, Mark A. Stadtherr
SFM
2007
Springer
14 years 4 months ago
Tackling Large State Spaces in Performance Modelling
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
William J. Knottenbelt, Jeremy T. Bradley
ICCBR
2010
Springer
14 years 1 months ago
Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Matt Dilts, Héctor Muñoz-Avila