Simulated outcomes from a discrete-time chain versus a continuous-time chain Markov Chain Monte Carlo simulation
| Outcome | |||
|---|---|---|---|
| Squad A Wins | Squad B Wins | Lethal Draws | |
| Discrete-time Chain | |||
| Likelihood | 33.26% | 61.26% | 5.48% |
| Casualties Sustained | 11.23 | 10.55 | N/A |
| Continuous-time Chain | |||
| Likelihood | 26.12% | 73.88% | 0.00% |
| Casualties Sustained | 9.07 | 7.42 | N/A |
| Outcome | |||
|---|---|---|---|
| Squad A Wins | Squad B Wins | Lethal Draws | |
| Likelihood | 33.26% | 61.26% | 5.48% |
| Casualties Sustained | 11.23 | 10.55 | N/A |
| Likelihood | 26.12% | 73.88% | 0.00% |
| Casualties Sustained | 9.07 | 7.42 | N/A |
Note(s): Performance data is based on the 50% accuracy condition and the same 10% advantage to both speed and accuracy outlined in the first simulation
Source(s): Table by authors
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