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There has been an increasing recognition that a number of key computational problems require distributed solution techniques. To facilitate the creation and advancement of these techniques, researchers have developed the distributed constraint satisfaction and optimization (DCSP/DCOP) formalisms with the understanding that many critical real-world problems can be represented using them. Subsequently,...
In many situations, the distributed constraint satisfaction problem provides a useful way to model real-world problems and apply agent-based solutions. However, more often than not, the problems that we wish to model change over time, and as such map better to dynamic DCSP's than to static instances. Until recently, algorithms to solve dynamic DCSP's (DynDCSP) have been developed and evaluated purely...
Intelligence, surveillance, and reconnaissance (ISR) assets must coordinate to maximize their availability, timeliness, and accuracy of information in a fast-paced, everchanging, and often adversarial environment. The distributed constraint optimization problem (DCOP) is a canonical formulation for representing coordination problems found in the planning and collection phases of global integrated...
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