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Artificial intelligence algorithms and new approaches to wargame simulation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lucek, Stephen Collander-Brown, Simon |
| Copyright Year | 2014 |
| Abstract | The Mission Planner is a decision-making toolset developed by NSC for Dstl currently applied at tactical level. It aims to support Dstl high intensity warfighting simulations by reducing or eliminating the need for complex pre-scripting or human-in-the-loop. Different stochastic optimisation Artificial Intelligence (AI) techniques have been used (Genetic Programming and a novel implementation of Simulated Annealing). The algorithms have been employed in a generic architecture that allows simple application to different problems. This flexibility allows the AI to generate plans against a reduced problem set (a Meta model) which represents only the essential elements of the full problem. The solution can then be evaluated against the full problem set, in this case SimBrig assessing brigade level land engagements. This approach has successfully overcome some of the limitations traditionally associated with the AI techniques used. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ismor.com/31ismor_papers/31jul/31ismor_lucek_collander-brown_paper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
