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» Using Bayesian Networks to Model Agent Relationships
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CMSB
2009
Springer
15 years 4 months ago
Probabilistic Approximations of Signaling Pathway Dynamics
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Bing Liu, P. S. Thiagarajan, David Hsu
ATAL
2009
Springer
15 years 2 months ago
On the significance of synchroneity in emergent systems
The goal of this paper is to explore the effects of synchronization on distributed decision making processes. In particular, we examine the dynamics of a spatially distributed mul...
Adam Campbell, Annie S. Wu
NIPS
2007
14 years 11 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
NETWORKS
2008
14 years 10 months ago
Decontamination of hypercubes by mobile agents
In this paper we consider the decontamination problem in a hypercube network of size n. The nodes of the network are assumed to be contaminated and they have to be decontaminated ...
Paola Flocchini, Miao Jun Huang, Flaminia L. Lucci...
AINA
2009
IEEE
15 years 5 months ago
Social Network-Based Trust for Agent-Based Services
— In service-oriented environments, reputation-based service selection is gaining increasing prominence. We propose in this paper a social network-based approach to model and ana...
Jamal Bentahar, Babak Khosravifar, Maziar Gomrokch...