Table 1 Parameter settings and brief descriptions
From: Learning versus optimal intervention in random Boolean networks
| Parameter | Value | Brief Description |
|---|---|---|
| R | 1400 | Rule population size |
| γ | 0.71 | Discount rate |
| θmna | N+1 | Min. number of actions in match set |
| P# | 0.33 | Probability of hash |
| pI | 0.0 | Initial payoff |
| εI | 0.0 | Initial error |
| FI | 0.0 | Initial fitness |
| ε0 | 10 | Error threshold |
| θga | 5.0 | Genetic algorithm frequency |
| θdel | 20.0 | Deletion threshold |
| β | 0.2 | Affects update of p, ε, and action set size for classifiers |
| α | 0.1 | Affects fitness updates |
| ν | 5.0 | Affects fitness updates |
| χ | 0.8 | Likelihood of GA crossover operation |
| μ | 0.05 | Likelihood of GA mutation operation |
| δ | 0.1 | Mods. effect of fitness on the ‘deletion vote’ of a classifier |
| θsub | 30.0 | Subsumption threshold |
| pexplr | 0.5 | Likelihood of exploring |
| doAsSubsumpt. | true | Perform subsumption in the action set? |
| doGaSubsumpt. | true | Perform subsumption in the GA? |