Premium
CONSTRUCTION OF BELIEF AND DECISION NETWORKS
Author(s) -
Breese John S.
Publication year - 1992
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.1992.tb00382.x
Subject(s) - computer science , probabilistic logic , inference , artificial intelligence , representation (politics) , focus (optics) , set (abstract data type) , machine learning , influence diagram , process (computing) , theoretical computer science , contrast (vision) , data mining , decision tree , physics , optics , politics , political science , law , programming language , operating system
We describe a representation and set of inference techniques for the dynamic construction of probabilistic and decision‐theoretic models expressed as networks. In contrast to probabilistic reasoning schemes that rely on fixed models, we develop a representation that implicitly encodes a large number of possible model structures. Based on a particular query and state of information, the system constructs a customized belief net for that particular situation. We develop an interpretation of the network construction process in terms of the implicit networks encoded in the database. A companion method for constructing belief networks with decisions and values (decision networks) is also developed that uses sensitivity analysis to focus the model building process. Finally, we discuss some issues of control of model construction and describe examples of constructing networks.