Message passing (MP) is a computational technique used to find approximate solutions to a
variety of problems defined on networks. MP approximations are generally accurate in …

Belief Propagation (BP) is an important message-passing algorithm for various reasoning
tasks over graphical models, including solving the Constraint Optimization Problems …

Recent advances in technology have large teams of robots with limited computation skills
work together in order to achieve a common goal. Their personal actions need to contribute …

Max-sum is a version of belief propagation that was adapted for solving distributed
constraint optimization problems. It has been studied theoretically and empirically, extended …

Belief propagation is a widely used, incomplete optimization algorithm whose main
theoretical properties hold only under the assumption that beliefs are not equal …

Some of the most challenging multi agent applications involve teams of mobile sensing
agents that are required to acquire information in a given area. Examples for such …

In this study, we propose a new paradigm for solving DCOPs, whereby the agents delegate
the computational task to a set of external mediators who perform the computations for them …

Asymmetric distributed constraint optimization problems (ADCOPs) are an important
framework for multiagent coordination and optimization, where each agent has its personal …

Belief propagation algorithms including Max-sum and its variants are important methods for
multi-agent optimization. However, they face a significant scalability challenge as the …

Max-sum is a version of belief propagation that was adapted for solving distributed
constraint optimization problems (DCOPs). It has been studied theoretically and empirically …