The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Information security is vital to many multiagent system applications. In this paper we formalise the notion of detectability of attacks in a MAS setting and analyse its applicabil...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Argumentation-based negotiation (ABN) is an effective means of resolving conflicts in a multi-agent society. However, it consumes both time and computational resources for agents ...
AOSE methodologies and models borrow various abstractions and concepts from the organization and sociology disciplines. Although they all ti-agent system as organized society, the ...