Abstract The Distributed Constraint Optimization Problem (DCOP) is a powerful framework
for modeling and solving applications in multi-agent coordination. Asynchronous Forward …

Distributed constraint satisfaction (DisCSP) models decision problems where physically
distributed agents control different decision variables, but must communicate with each other …

The aim of this paper is to present a colored Petri net that models a system applying a
DisCSP method. Our study considered 3 representative DisCSP algorithms: synchronous …

Smart Grids are electricity distribution networks that use intelligent IT methods to match the
adequacy between consumer demand and provider offer (electric power plants and various …

Although there have been tremendous gains in network communication reliability, many real
world applications of distributed systems still face message loss, limitations, delay, and …

Multi-agent systems (MAS) consist of autonomous agents that parcel out different tasks and
make decisions in dynamic environments. Distributed constraint satisfaction problem …

The expressiveness of Distributed CSP has been recently enhanced to include global
constraints. Careful reformulation of contractible global constraints has been shown to …

Ethics has become the most interesting research field in artificial intelligence, it has been
considered in several areas such as intelligent military applications, private data systems …

The geographically distributed data centres problem (GDDC) is a naturally distributed
resource allocation problem. The problem involves allocating a set of virtual machines (VM) …

We recently proposed No good-Based Asynchronous Forward Checking (AFC-ng), an
efficient and robust algorithm for solving Distributed Constraint Satisfaction Problems …