Live programming @ University of Washington
Published
Edited
Nov 13, 2019
function step_automaton(a, coin) {
let state = a.states[a.state_index]
a.state_index = (coin === 'heads') ? state.heads : state.tails
if (a.state_index == a.states.length) {
a.state_index = all_heads(a.flips) ? 0 : 1
}
}
coinflip = (p) => (Math.random() < p) ? 'heads' : 'tails'
function run_trial() {
let a = automaton
a.state_index = 0
let coin = Math.round(Math.random())
let p = [.99, .9][coin]
return range(max_steps).map(() => {
step_automaton(a, coinflip(p))
return a.states[a.state_index].decision == coin
})
}
accuracy = {
let a = (model == 'simple deterministic') ? simple_deterministic_automaton:
(model == 'complex deterministic') ? complex_deterministic_automaton:
probabilistic_automaton
let trial_results = range(trials).map(run_trial)
let accuracy = []
for (let i in range(max_steps)) {
let step_results = trial_results.map(trial => trial[i])
accuracy[ i ] = {
accuracy: step_results.reduce((tot, res) => tot + res) / trials,
steps: i
}
}
return accuracy
}
all_heads = (n) => range(n).map(Math.random).every(x => x > .5)
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