Post-prognostics decision making in distributed MEMS-based systems

Utility-based Decision-making in Distributed Systems Modelling

We consider a calculus of resources and processes as a basis for modelling decision-making in multi-agent systems. The calculus represents the regulation of agents’ choices using utility functions that take account of context. Associated with the calculus is a (Hennessy–Milner-style) contextsensitive modal logic of state. As an application, we show how a notion of ‘trust domain’ can be defined ...

Collective Decision Making in Distributed Systems

We propose cognitive design patterns (CDPs) as a general methodology to design distributed artificial systems capable of cognitive processing. CDPs are reusable solutions that leverage the current understanding of cognitive processing in natural distributed systems, and that put this knowledge in use for the design of artificial ones [2]. In this paper, we derive a CDP for collective decision m...

Learning in Distributed Systems for Decision Making

A Mobile Robot Testbed for Prognostics-Enabled Autonomous Decision Making

The ability to utilize prognostic system health information in operational decision making, especially when fused with information about future operational, environmental, and mission requirements, is becoming desirable for both manned and unmanned aerospace vehicles. A vehicle capable of evaluating its own health state and making (or assisting the crew in making) decisions with respect to its ...

Prognostics for the Maintenance of Distributed Systems

This paper addresses the problem of the maintenance of a distributed system of heterogeneous components. We propose a generic health monitoring architecture that encompasses the available prognostic methods and provides a common support for the maintenance decision on a distributed system. The output of this architecture takes into account the distributed nature of the system by not only provid...