Purpose: This research explores the technical, semantic, syntactic, and platform
interoperability infrastructures between smart objects and the advantages that MASs will …

This paper develops a new message passing protocol that can be used to speed up the
inference process of Generalized Distributive Law (GDL) based constraint optimization …

Belief propagation algorithms including Max-sum and its variants are important methods for
solving DCOPs. However, they may face a tough challenge when handling n-ary constraints …

We describe issues bedeviling the coordination of heterogeneous (different sensors carrying
agents) multi-agent missions such as belief conflict, situation reasoning, etc. We applied …

Purpose: This research explores the technical, semantic, syntactic, and platform
interoperability infrastructures between smart objects and the advantages that MASs will …

Çok Etmenli Sistemler (MAS), Nesnelerin İnterneti (IoT) uygulamaları içerisinde, akıllı
nesnelerin etmenler (agent) olarak tasarlanması aracılığı ile birden çok akıllı cihazdan …

In this paper, we propose the use of Bayesian inference and learning to solve DCOP in
dynamic and uncertain environments. We categorize the agents Bayesian learning process …