The survivability of a large scale Distributed Multi-Agent Systems (DMAS) functioning in dynamic and hostile environments is a significant design and run-time challenge. Delivering the correct proportion of performance, robustness and security is vital to the survivability of a complex adaptive system such as the DMAS. Using a combination of theoretical and empirical models, this thesis builds a survivability framework while addressing themes such as scalability, decentralization and autonomy in parallel.
['Nathan Gnanasambandam']
Survivability of multi-agent systems