
Reference Model of MultiEntity Bayesian Networks for Predictive Situation Awareness
During the past quartercentury, situation awareness (SAW) has become a ...
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MEBNRM: A Mapping between MultiEntity Bayesian Network and Relational Model
MultiEntity Bayesian Network (MEBN) is a knowledge representation forma...
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Humanaided MultiEntity Bayesian Networks Learning from Relational Data
An Artificial Intelligence (AI) system is an autonomous system which emu...
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Gaussian Mixture Reduction for TimeConstrained Approximate Inference in Hybrid Bayesian Networks
Hybrid Bayesian Networks (HBNs), which contain both discrete and continu...
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An Application of NonMonotonic Probabilistic Reasoning to Air Force Threat Correlation
Current approaches to expert systems' reasoning under uncertainty fail t...
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Belief in Belief Functions: An Examination of Shafer's Canonical Examples
In the canonical examples underlying ShaferDempster theory, beliefs ove...
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Hierarchical Evidence and Belief Functions
Dempster/Shafer (D/S) theory has been advocated as a way of representing...
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A Probabilistic Reasoning Environment
A framework is presented for a computational theory of probabilistic arg...
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Conflict and Surprise: Heuristics for Model Revision
Any probabilistic model of a problem is based on assumptions which, if v...
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The Bounded Bayesian
The ideal Bayesian agent reasons from a global probability model, but re...
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Bayesian MetaReasoning: Determining Model Adequacy from Within a Small World
This paper presents a Bayesian framework for assessing the adequacy of a...
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Sensitivity Analysis for Probability Assessments in Bayesian Networks
When eliciting probability models from experts, knowledge engineers may ...
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Network Engineering for Complex Belief Networks
Like any large system development effort, the construction of a complex ...
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Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity str...
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Network Fragments: Representing Knowledge for Constructing Probabilistic Models
In most current applications of belief networks, domain knowledge is rep...
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Constructing Situation Specific Belief Networks
This paper describes a process for constructing situationspecific belie...
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Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms
This paper describes stochastic search approaches, including a new stoch...
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Representing and Combining Partially Specified CPTs
This paper extends previous work with network fragments and situationsp...
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An Application of Uncertain Reasoning to Requirements Engineering
This paper examines the use of Bayesian Networks to tackle one of the to...
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Hypothesis Management in SituationSpecific Network Construction
This paper considers the problem of knowledgebased model construction i...
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Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets
A marketmakerbased prediction market lets forecasters aggregate inform...
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Of Starships and Klingons: Bayesian Logic for the 23rd Century
Intelligent systems in an open world must reason about many interacting ...
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Kathryn Blackmond Laskey
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Professor of Systems Engineering and Operations Research at George Mason University since 1990, Associate Director of GMU's Center of Excellence in Command, Control, Communications, Computing and Intelligence (C4I Center), Principal Scientist at Decision Science Consortium from 19861990