Landscape Dynamics in Multi–agent Simulation Combat Systems

A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare

“…There are also many of systems (Ilachinski, 1997(Ilachinski, , 2000(Ilachinski, , 2004Lauren, 2000) which are interpreting warfare as a complex adaptive system, these include the Irreducible Semi-Autonomous Adaptive Combat (ISAAC) (Ilachinski, 2000(Ilachinski, , 1997 and the Enhanced ISAAC Neural Simulation Toolkit (EINSTein) (Ilachinski, 2000(Ilachinski, , 1997, from the US Marine Corps Combat Development Command, the Map Aware Non-uniform Automata (MANA) (Lauren, 2000;Lauren & Stephen, 2002;Galligan, 2004), from New Zealand's Defence Technology Agency, BactoWars (White, 2004) from the Defence Science and Technology Organisation (DSTO), Australia, the Conceptual Research Oriented Combat Agent Distillation Implemented in the Littoral Environment (CROCADILE) (Barlow & Easton, 2002) and the Warfare Intelligent System for Dynamic Optimization of Missions (WISDOM) (version I) developed at the University of New South Wales at the Australian Defence Force Academy (Yang, Abbass, & Sarker, 2004).…”

Red teaming with coevolution

“…WISDOM (Warfare Intelligent System for Dynamic Optimization of Missions), is another example, which was described and used in [21] to investigate the characteristics of the fitness landscape in a combat scenario. The authors argue that an understanding of the fitness landscape can be used to choose a suitable search algorithm for red teaming applications.…”

Computational Red Teaming

“…A strategy [19,37] denotes the set of methods that are able to transform the resources to which an organization has access to, or has the ability to access, into the organization's goals. Strategies must be tested all the time.…”

“…1.7.4, Blue-Red simulation is discussed. A number of agent-based blue-red simulation systems for combat were mentioned including EINSTein [17], MANA [23], and WISDOM [37][38][39]. Some of the work in the existing literature on combining evolutionary/coevolutionary algorithms and these simulation environments was also mentioned, including the work on ART [10], ACE [23], and the earlier work of the author [36,37] was discussed.…”