Distributed Structure Verification in Multiply Sectioned Bayesian Networks
نویسنده
چکیده
Multiply sectioned Bayesian networks (MSBNs) provide a framework for probabilistic reasoning in a single user oriented system in a large problem domain or in a cooperative multi-agent distributed interpretation system. During the construction or dynamic formation of a MSBN, an automatic verification of the acyclicity of the overall structure is desired. Although algorithms for testing acyclicity are well known, they assume a centralized storage of the graphical structure to be tested. We discuss why a centralized representation of the overall structure is undesirable. We then propose a set of distributed operations that are performed by individual subnets/agents in the system to cooperatively verify the acyclicity of the overall structure.
منابع مشابه
Distributed Multi-Agent MSBN: Implementing Verification
Multiply Sectioned Bayesian Networks (MSBN) provide a coherence framework for multi-agent distributed interpretation tasks. During the construction or dynamic formation of an MSBN, automatic verification of d-sepset and the acyclicity of the overall structure is desired. Although verification has been implemented in a time-sharing fashion, new issues must be resolved in order to perform such ve...
متن کاملSome Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks
Multiply Sectioned Bayesian Networks (MSBNs) provide a distributed framework for diagnosis of large systems based on probabilistic knowledge. To ensure exact inference, the partition of a large system into subsystems and the representation of subsystems must follow a set of technical constraints. How to satisfy these goals for a given system may not be obvious to a practitioner. In this paper, ...
متن کاملGenerating Dependence Structure of Multiply Sectioned Bayesian Networks
Multiply sectioned Bayesian networks (MSBNs) provide a general and exact framework for multi-agent distributed interpretation. To investigate algorithms for inference and other operations , experimental MSBNs are necessary. However, it is very time consuming and tedious to construct MSBNs manually. In this work, we investigate pseduo-random generation of MSBNs. Our focus is on the generation of...
متن کاملVerification of DAG structures in cooperative belief network-based multiagent systems
Multiply sectioned Bayesian networks (MSBNs) provide a framework for probabilistic reasoning in a complex single user oriented system as well as in a cooperative multi-agent distributed interpretation system. During the construction or dynamic formation of a MSBN, automatic verification of the acyclicity of the overall structure is desired. Well known algorithms for acyclicity test assume a cen...
متن کاملInference in Multiply Sectioned Bayesian
As Bayesian networks are applied to larger and more complex problem domains, search for exible modeling and more eecient inference methods is an ongoing eeort. Multiply sectioned Bayesian networks (MSBNs) extend the HUGIN inference for Bayesian networks into a coherent framework for exible modeling and distributed inference. Lazy propagation extends the Shafer-Shenoy and HUGIN inference methods...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1996