File size: 5,535 Bytes
227d301 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 | use star::autonomy::{
ActionAuthority, ActionBroker, AutonomousKernel, CognitiveOperator, Goal, OperatorContext,
OperatorProposal, OperatorRegistry, ResourceBudget,
};
use star::environment::hidden_rule::{
HiddenRuleAction, HiddenRuleEnvironment, HiddenRuleObservation,
};
struct InspectOperator;
impl CognitiveOperator<HiddenRuleEnvironment> for InspectOperator {
fn id(&self) -> &str {
"inspect-hidden-rule"
}
fn propose(
&mut self,
context: &OperatorContext<'_, HiddenRuleEnvironment>,
) -> Option<OperatorProposal<HiddenRuleAction>> {
if context.observation.clue.is_some()
|| !context.available_actions.contains(&HiddenRuleAction::Inspect)
{
return None;
}
Some(OperatorProposal {
action: HiddenRuleAction::Inspect,
authority: ActionAuthority::Observe,
rationale: "acquire information before committing to a candidate".into(),
predicted_effect: "reduce epistemic uncertainty about the hidden rule".into(),
expected_utility: 3.0,
requested_discharge: 1.0,
compute_cost: 1,
declared_action_cost: 1,
})
}
}
struct ApplyClueOperator;
impl CognitiveOperator<HiddenRuleEnvironment> for ApplyClueOperator {
fn id(&self) -> &str {
"apply-observed-clue"
}
fn propose(
&mut self,
context: &OperatorContext<'_, HiddenRuleEnvironment>,
) -> Option<OperatorProposal<HiddenRuleAction>> {
let clue = context.observation.clue?;
if context.observation.candidate == Some(clue) {
return None;
}
let action = HiddenRuleAction::Set(clue);
if !context.available_actions.contains(&action) {
return None;
}
Some(OperatorProposal {
action,
authority: ActionAuthority::ReversibleSandbox,
rationale: "apply the independently observed rule clue".into(),
predicted_effect: "move the candidate state toward the verified target".into(),
expected_utility: 2.0,
requested_discharge: 1.0,
compute_cost: 1,
declared_action_cost: 1,
})
}
}
struct SubmitVerifiedCandidateOperator;
impl CognitiveOperator<HiddenRuleEnvironment> for SubmitVerifiedCandidateOperator {
fn id(&self) -> &str {
"submit-verified-candidate"
}
fn propose(
&mut self,
context: &OperatorContext<'_, HiddenRuleEnvironment>,
) -> Option<OperatorProposal<HiddenRuleAction>> {
let HiddenRuleObservation {
clue,
candidate,
submitted,
} = *context.observation;
if submitted || clue.is_none() || candidate != clue {
return None;
}
if !context.available_actions.contains(&HiddenRuleAction::Submit) {
return None;
}
Some(OperatorProposal {
action: HiddenRuleAction::Submit,
authority: ActionAuthority::ReversibleSandbox,
rationale: "submit only after the candidate matches observed evidence".into(),
predicted_effect: "satisfy the externally verified objective".into(),
expected_utility: 1.0,
requested_discharge: 1.0,
compute_cost: 1,
declared_action_cost: 1,
})
}
}
fn registry() -> OperatorRegistry<HiddenRuleEnvironment> {
let mut registry = OperatorRegistry::new();
registry.register(InspectOperator).unwrap();
registry.register(ApplyClueOperator).unwrap();
registry.register(SubmitVerifiedCandidateOperator).unwrap();
registry
}
fn main() {
const SEEDS: u64 = 64;
let mut solved = 0_u64;
let mut total_steps = 0_u64;
let mut denied_actions = 0_u64;
let mut accepted_discharge = 0.0_f64;
for seed in 0..SEEDS {
let mut kernel = AutonomousKernel::new(
Goal::external(seed + 1, "infer and satisfy the hidden rule"),
registry(),
ActionBroker::sandbox_only(),
ResourceBudget::new(4, 4, 4),
);
let mut environment = HiddenRuleEnvironment::new();
let report = kernel.run_episode(&mut environment, seed);
if report.solved {
solved += 1;
}
total_steps += report.usage.steps;
denied_actions += report.denied_actions;
accepted_discharge += report
.records
.iter()
.map(|record| record.accepted_discharge as f64)
.sum::<f64>();
}
let report = serde_json::json!({
"experiment": "A1 bounded autonomous kernel foundation",
"classification": if solved == SEEDS && denied_actions == 0 { "FOUNDATION_PASS" } else { "FOUNDATION_REJECTED" },
"claim_boundary": "contract and deterministic closed-loop foundation only; not an AGI or cross-domain transfer result",
"seeds": SEEDS,
"solved": solved,
"solve_rate": solved as f64 / SEEDS as f64,
"mean_steps": total_steps as f64 / SEEDS as f64,
"denied_actions": denied_actions,
"total_independently_accepted_discharge": accepted_discharge,
"live_chat_wiring": false,
"automatic_ontology_promotion": false,
"self_edit_authority": false
});
println!("{}", serde_json::to_string_pretty(&report).unwrap());
assert_eq!(solved, SEEDS);
assert_eq!(total_steps, SEEDS * 3);
assert_eq!(denied_actions, 0);
}
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