Add to ORKGMultiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the interfaces such that they are both valid and efficient is non-trivial. We present multiagent interface enhancement that relieves agent designers from the burden of model efficiency so that multiagent graphical models become more accessible
Multi-agent systems draw together a number of significant trends in modern technology: ubiquity, dec...
In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivota...
Given the complexity of the domains for which we would like to use computers as reasoning engines, ...
Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain e...
Recent developments show that Multiply Sectioned Bayesian Networks (MSBNs) can be used for diagnosis...
AbstractAs intelligent systems are being applied to larger, open and more complex problem domains, m...
Decentralized POMDPs provide an expressive framework for multiagent sequential decision making. Howe...
AbstractMultiply sectioned Bayesian networks for single-agent systems are extended into a framework ...
AbstractCooperative multiagent probabilistic inference can be applied in areas such as building surv...
Probabilistic reasoning methods, Bayesian networks (BNs) in particular, have emerged as an effective...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
AbstractWe consider a multi-agent system where each agent is equipped with a Bayesian network, and p...
To make sense of the information that agents gather from the Web, they need to reason about it. If t...
In this dissertation, we define a cooperative multiagent system where the agents use locally designe...
Multiagent planning has seen much progress with the development of formal models such as Dec-POMDPs....
Multi-agent systems draw together a number of significant trends in modern technology: ubiquity, dec...
In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivota...
Given the complexity of the domains for which we would like to use computers as reasoning engines, ...
Addresses the challenges of building intelligent agents to cooperate on complex tasks in uncertain e...
Recent developments show that Multiply Sectioned Bayesian Networks (MSBNs) can be used for diagnosis...
AbstractAs intelligent systems are being applied to larger, open and more complex problem domains, m...
Decentralized POMDPs provide an expressive framework for multiagent sequential decision making. Howe...
AbstractMultiply sectioned Bayesian networks for single-agent systems are extended into a framework ...
AbstractCooperative multiagent probabilistic inference can be applied in areas such as building surv...
Probabilistic reasoning methods, Bayesian networks (BNs) in particular, have emerged as an effective...
Abstract—Decision making in a semistructured or unstructured problem should consist of a combination...
AbstractWe consider a multi-agent system where each agent is equipped with a Bayesian network, and p...
To make sense of the information that agents gather from the Web, they need to reason about it. If t...
In this dissertation, we define a cooperative multiagent system where the agents use locally designe...
Multiagent planning has seen much progress with the development of formal models such as Dec-POMDPs....
Multi-agent systems draw together a number of significant trends in modern technology: ubiquity, dec...
In multi-agent systems, the knowledge of agents about other agents??? knowledge often plays a pivota...
Given the complexity of the domains for which we would like to use computers as reasoning engines, ...