Distributed Bayesian Networks in Highly Dynamic Agent Organizations
نویسندگان
چکیده
In this paper we focus on the problems associated with distributed approaches to exact belief propagation in multi agent systems. In particular, we discuss the Multiply Sectioned Bayesian networks (MSBN) and Distributed Perception Networks (DPNs). While MSBNs support modeling of more complex domains than DPNs, we argue that MSBN approach is not suitable for large and changing agent societies. DPNs, on the other hand, are a special class of MSBNs and have limited modeling capabilities. However, DPN approach facilitates selforganization of distributed systems and, consequently, can cope with variable agent societies.
منابع مشابه
Load-Frequency Control: a GA based Bayesian Networks Multi-agent System
Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDynamic configuration and collaborative scheduling in supply chains based on scalable multi-agent architecture
Due to diversified and frequently changing demands from customers, technological advances and global competition, manufacturers rely on collaboration with their business partners to share costs, risks and expertise. How to take advantage of advancement of technologies to effectively support operations and create competitive advantage is critical for manufacturers to survive. To respond to these...
متن کاملDistributed 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 کامل