Bayesian Knowledge Bases
From Distributed Information and Intelligence Analysis Group
(Difference between revisions)
m (Created page with 'A Bayesian knowledge-base is a knowledge representation system that has a similar structure as a Bayesian network. It represents knowledge by an “if-then” structure and repre...') |
m |
||
| (One intermediate revision not shown) | |||
| Line 1: | Line 1: | ||
A Bayesian knowledge-base is a knowledge representation system that has a similar structure as a Bayesian network. It represents knowledge by an “if-then” structure and represents uncertainty by probability theory. BKBs subsume BNs and are advantageous to BNs because BKBs are robust to knowledge incompleteness and cyclic information, while still preserving a probabilistically sound representation of uncertainty. We now extend BKBs to represent both time and interaction since time is the key component of a dynamic world. We target to provide a comprehensive model that can describe the interactions of knowledge in the world, as well as reason through them. | A Bayesian knowledge-base is a knowledge representation system that has a similar structure as a Bayesian network. It represents knowledge by an “if-then” structure and represents uncertainty by probability theory. BKBs subsume BNs and are advantageous to BNs because BKBs are robust to knowledge incompleteness and cyclic information, while still preserving a probabilistically sound representation of uncertainty. We now extend BKBs to represent both time and interaction since time is the key component of a dynamic world. We target to provide a comprehensive model that can describe the interactions of knowledge in the world, as well as reason through them. | ||
| + | |||
| + | * [[Culturally Infused Social Network Analysis]] | ||
| + | * [[Adversary Intent Inferencing|Adversary Intent Inferencing]] | ||
| + | * [[CyberCAFE|CyberCAFE]] | ||
| + | * [[Surgical Intent|Surgical Intent]] | ||
| + | * [[Multidisciplinary University Research Initiative|Multidisciplinary University Research Initiative]] | ||
| + | * [[Knowledge Engineering under Time and Uncertainty]] | ||
Current revision as of 20:47, 7 August 2009
A Bayesian knowledge-base is a knowledge representation system that has a similar structure as a Bayesian network. It represents knowledge by an “if-then” structure and represents uncertainty by probability theory. BKBs subsume BNs and are advantageous to BNs because BKBs are robust to knowledge incompleteness and cyclic information, while still preserving a probabilistically sound representation of uncertainty. We now extend BKBs to represent both time and interaction since time is the key component of a dynamic world. We target to provide a comprehensive model that can describe the interactions of knowledge in the world, as well as reason through them.
