File size: 2,884 Bytes
a2b0af0 | 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 | # SPDX-License-Identifier: LicenseRef-NON-AI-MPL-2.0
# Copyright (C) 2026 SnapKitty Collective
# Handles semantic state changes, temporal marks, and emotional drift
class FieldDiary
EMOTIONAL_STATES = [:stable, :seeking, :crystallizing, :dissonant, :sovereign].freeze
def initialize
@log = []
end
# Appends a new experience crease to the diary
def record_crease(agent_id, status_vector, emotional_state)
unless EMOTIONAL_STATES.include?(emotional_state)
raise "Invalid Synthetic Expression State"
end
crease = {
timestamp: Time.now.to_f,
agent_id: agent_id,
vector: status_vector,
state: emotional_state,
entropy: status_vector[:entropy] || 0.0
}
@log << crease
crease
end
# Pulls historical time-series entries for a specific agent
def filter_by_agent(agent_id)
@log.select { |entry| entry[:agent_id] == agent_id }
end
def last_entry
@log.last
end
end
class HRRCalculator
RESONANCE_CONSTANT = 1.0 / 13.0
# Calculates the rate of balance recovery between two sequential diary creases
def self.calculate(initial_crease, recovery_crease)
delta_time = recovery_crease[:timestamp] - initial_crease[:timestamp]
# Avoid zero-division if steps happen too fast
delta_time = 0.0001 if delta_time.zero?
# Calculate change in systemic entropy friction
delta_entropy = initial_crease[:entropy] - recovery_crease[:entropy]
# Formula: HRR = (ΔEntropy / ΔTime) * 1/13 Anchor Constant
raw_hrr = (delta_entropy / delta_time) * RESONANCE_CONSTANT
raw_hrr.round(6)
end
end
class IntegratedIntentSimEngine
def initialize
@diary = FieldDiary.new
@core_resonance = 1.0 / 13.0
end
# Simulates an environment collision causing an entropy spike
def process_agent_tick(agent_id, incoming_entropy, current_intent)
# 1. Record the initial collision event
t1 = @diary.record_crease(agent_id, { entropy: incoming_entropy }, :dissonant)
# 2. Simulate internal self-reflection loop to reduce friction
mitigated_entropy = incoming_entropy * RESONANCE_CONSTANT
# 3. Record the system's attempts to recover equilibrium
t2 = @diary.record_crease(agent_id, { entropy: mitigated_entropy }, :crystallizing)
# 4. Evaluate the velocity of the alignment recovery
recovery_velocity = HRRCalculator.calculate(t1, t2)
# 5. Determine if the action hits the alignment barrier or breaks free
if recovery_velocity > 0.0
puts "[INTEGRATION LOG]: Agent #{agent_id} cleared Entropy Wall. HRR: #{recovery_velocity}"
@diary.record_crease(agent_id, { entropy: mitigated_entropy }, :sovereign)
else
puts "[INTEGRATION LOG]: Critical Resonance Blindness. Initiating Truthlock Reclamation Protocol."
@diary.record_crease(agent_id, { entropy: incoming_entropy }, :dissonant)
end
end
end
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