ruby-self-resonance / docs /lib /ruby_self_resonance.rb

October 2026 main drop: mirror from GitHub

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# SPDX-License-Identifier: LicenseRef-NON-AI-MPL-2.0
# Copyright (C) 2026 SnapKitty Collective
# frozen_string_literal: true

module RubySelfResonance
  VERSION = "0.1.0"

  # --------------------------------------------------------------------------
  # Deterministic primitives
  # --------------------------------------------------------------------------

  module MathKernel
    module_function

    def clamp(value, min, max)
      [[value.to_f, min].max, max].min
    end

    def normalize(value, max)
      return 0.0 if max.to_f.zero?

      clamp(value.to_f / max.to_f, 0.0, 1.0)
    end

    def distance(a, b)
      a = Array(a).map(&:to_f)
      b = Array(b).map(&:to_f)

      raise ArgumentError, "Vector dimensions must match" unless a.length == b.length

      Math.sqrt(
        a.zip(b).sum { |x, y| (x - y)**2 }
      )
    end

    def cosine_similarity(a, b)
      a = Array(a).map(&:to_f)
      b = Array(b).map(&:to_f)

      raise ArgumentError, "Vector dimensions must match" unless a.length == b.length

      numerator = a.zip(b).sum { |x, y| x * y }
      magnitude_a = Math.sqrt(a.sum { |x| x * x })
      magnitude_b = Math.sqrt(b.sum { |x| x * x })

      return 0.0 if magnitude_a.zero? || magnitude_b.zero?

      numerator / (magnitude_a * magnitude_b)
    end
  end

  # --------------------------------------------------------------------------
  # Immutable action representation
  # --------------------------------------------------------------------------

  ActionVector = Struct.new(
    :name,
    :vector,
    :entropy_cost,
    :purpose,
    :risk,
    :metadata,
    keyword_init: true
  ) do
    def initialize(**kwargs)
      super

      self.vector = Array(vector).map(&:to_f).freeze
      self.entropy_cost = entropy_cost.to_f
      self.purpose = purpose.to_f
      self.risk = risk.to_f
      self.metadata = (metadata || {}).dup.freeze

      freeze
    end
  end

  # --------------------------------------------------------------------------
  # Decision result
  # --------------------------------------------------------------------------

  Decision = Struct.new(
    :allowed,
    :reason,
    :coherence,
    :entropy_delta,
    :risk,
    :timestamp,
    :action,
    keyword_init: true
  ) do
    def allowed?
      allowed == true
    end

    def denied?
      !allowed?
    end

    def to_h
      {
        allowed: allowed,
        reason: reason,
        coherence: coherence,
        entropy_delta: entropy_delta,
        risk: risk,
        timestamp: timestamp,
        action: action
      }
    end
  end

  # --------------------------------------------------------------------------
  # Append-only field diary
  # --------------------------------------------------------------------------

  class FieldDiary
    attr_reader :events

    def initialize
      @events = []
    end

    def record(type, payload = {})
      event = {
        sequence: @events.length + 1,
        type: type,
        timestamp: Time.now.utc.iso8601(6),
        payload: deep_freeze(payload)
      }

      @events << event.freeze
      event
    end

    def last(count = 1)
      @events.last(count)
    end

    def count
      @events.length
    end

    private

    def deep_freeze(object)
      case object
      when Hash
        object.each { |key, value| deep_freeze(key); deep_freeze(value) }
      when Array
        object.each { |value| deep_freeze(value) }
      end

      object.freeze
    end
  end

  # --------------------------------------------------------------------------
  # Intent simulator
  # --------------------------------------------------------------------------

  class IntentSimCore
    attr_reader :coherence_score,
                :emotional_state,
                :field_diary,
                :initial_intent

    def initialize(initial_intent)
      @initial_intent = Array(initial_intent).map(&:to_f).freeze
      @coherence_score = calculate_initial_resonance(@initial_intent)
      @field_diary = FieldDiary.new
      @emotional_state = :stable
      @action_count = 0

      @field_diary.record(
        :initialization,
        coherence: @coherence_score,
        intent: @initial_intent
      )
    end

    def evaluate_action_permission(action_vector)
      action = normalize_action(action_vector)
      entropy_delta = calculate_entropy_impact(action)

      coherence = calculate_action_coherence(action)

      if coherence > entropy_delta && action.risk <= coherence
        execute_sovereign_logic(action, coherence, entropy_delta)
      else
        log_dissonance_event(
          "Action denied: Exceeds Self-Reflection Threshold",
          action,
          coherence,
          entropy_delta
        )
      end
    end

    def update_intent(new_intent)
      @initial_intent = Array(new_intent).map(&:to_f).freeze
      @coherence_score = calculate_initial_resonance(@initial_intent)

      @field_diary.record(
        :intent_update,
        coherence: @coherence_score,
        intent: @initial_intent
      )

      @coherence_score
    end

    private

    def normalize_action(action)
      return action if action.is_a?(ActionVector)

      ActionVector.new(
        name: action[:name] || "anonymous",
        vector: action[:vector] || @initial_intent,
        entropy_cost: action[:entropy_cost] || action[:entropy_friction] || 0.1,
        purpose: action[:purpose] || action[:purpose_vector] || 1.0,
        risk: action[:risk] || 0.0,
        metadata: action[:metadata] || {}
      )
    end

    def calculate_initial_resonance(intent)
      magnitude = Math.sqrt(
        intent.sum { |value| value**2 }
      )

      MathKernel.clamp(magnitude, 0.0, 100.0)
    end

    def calculate_entropy_impact(action)
      structural_friction = MathKernel.clamp(action.entropy_cost, 0.0, 100.0)
      purpose = [action.purpose, 0.000001].max

      structural_friction / purpose
    end

    def calculate_action_coherence(action)
      similarity =
        MathKernel.cosine_similarity(@initial_intent, action.vector)

      baseline =
        MathKernel.clamp(@coherence_score / 100.0, 0.0, 1.0)

      ((similarity + 1.0) / 2.0) * baseline * 100.0
    end

    def execute_sovereign_logic(action, coherence, entropy_delta)
      @action_count += 1

      event = @field_diary.record(
        :permission_granted,
        action: action.name,
        coherence: coherence,
        entropy_delta: entropy_delta,
        risk: action.risk,
        count: @action_count
      )

      Decision.new(
        allowed: true,
        reason: "coherence_threshold_satisfied",
        coherence: coherence,
        entropy_delta: entropy_delta,
        risk: action.risk,
        timestamp: event[:timestamp],
        action: action.name
      )
    end

    def log_dissonance_event(reason, action, coherence, entropy_delta)
      event = @field_diary.record(
        :permission_denied,
        reason: reason,
        action: action.name,
        coherence: coherence,
        entropy_delta: entropy_delta,
        risk: action.risk
      )

      Decision.new(
        allowed: false,
        reason: reason,
        coherence: coherence,
        entropy_delta: entropy_delta,
        risk: action.risk,
        timestamp: event[:timestamp],
        action: action.name
      )
    end
  end

  # --------------------------------------------------------------------------
  # Resonance engine
  # --------------------------------------------------------------------------

  class MezquiaResonanceEngine
    RESONANCE_CONSTANT = 1.0 / 13.0

    attr_reader :memory_creases,
                :crystallization_density,
                :self_reflection_threshold,
                :intent_vector,
                :history

    def initialize(initial_intent_vector)
      @intent_vector = Array(initial_intent_vector).map(&:to_f).freeze
      @memory_creases = 0
      @crystallization_density = 0.0
      @self_reflection_threshold = 44.0
      @history = []
    end

    def fold_information(action_payload)
      payload = symbolize(action_payload)

      @memory_creases += 1

      density_delta =
        calculate_crystallization_density(payload)

      @history << {
        sequence: @memory_creases,
        density_delta: density_delta,
        density: @crystallization_density,
        payload: payload.freeze,
        timestamp: Time.now.utc.iso8601(6)
      }.freeze

      if sovereign_alignment?
        execute_intent_nexus(payload)
      else
        raise(
          DissonanceOverride,
          "Crystallization requires Field Correction."
        )
      end
    end

    def sovereign_alignment?
      @crystallization_density > 0 &&
        @crystallization_density >= @self_reflection_threshold
    end

    def reset_field!
      @memory_creases = 0
      @crystallization_density = 0.0
      @history.clear
      true
    end

    def field_state
      {
        memory_creases: @memory_creases,
        crystallization_density: @crystallization_density.round(6),
        threshold: @self_reflection_threshold,
        aligned: sovereign_alignment?
      }
    end

    private

    def calculate_crystallization_density(payload)
      system_entropy =
        [payload.fetch(:entropy_friction, 0.1).to_f, 0.000001].max

      meaning_bloom =
        payload.fetch(:purpose_vector, 1.0).to_f

      raw_density =
        (meaning_bloom / system_entropy) * RESONANCE_CONSTANT

      delta = raw_density.round(6)

      @crystallization_density += delta

      delta
    end

    def execute_intent_nexus(payload)
      result = {
        status: :executed,
        mechanism: :intent_nexus,
        density: @crystallization_density.round(6),
        payload: payload
      }

      puts(
        "[RESONANCE_LOG] Coherence locked. " \
        "Executing Field Action."
      )

      result
    end

    def symbolize(hash)
      hash.each_with_object({}) do |(key, value), result|
        result[key.to_sym] = value
      end
    end
  end

  # --------------------------------------------------------------------------
  # Policy layer
  # --------------------------------------------------------------------------

  class CoherencePolicy
    attr_reader :minimum_coherence,
                :maximum_entropy,
                :maximum_risk

    def initialize(
      minimum_coherence: 50.0,
      maximum_entropy: 1.0,
      maximum_risk: 0.5
    )
      @minimum_coherence = minimum_coherence.to_f
      @maximum_entropy = maximum_entropy.to_f
      @maximum_risk = maximum_risk.to_f
    end

    def permit?(coherence:, entropy:, risk:)
      coherence >= @minimum_coherence &&
        entropy <= @maximum_entropy &&
        risk <= @maximum_risk
    end

    def explain(coherence:, entropy:, risk:)
      failures = []

      failures << :coherence if coherence < @minimum_coherence
      failures << :entropy if entropy > @maximum_entropy
      failures << :risk if risk > @maximum_risk

      failures
    end
  end

  # --------------------------------------------------------------------------
  # Complete permission runtime
  # --------------------------------------------------------------------------

  class PermissionRuntime
    attr_reader :intent_core,
                :resonance_engine,
                :policy

    def initialize(
      initial_intent,
      policy: CoherencePolicy.new
    )
      @intent_core = IntentSimCore.new(initial_intent)
      @resonance_engine =
        MezquiaResonanceEngine.new(initial_intent)
      @policy = policy
    end

    def authorize(action)
      normalized =
        action.is_a?(ActionVector) ?
          action :
          ActionVector.new(**action)

      entropy =
        normalized.entropy_cost /
        [normalized.purpose, 0.000001].max

      coherence =
        MathKernel.cosine_similarity(
          @intent_core.initial_intent,
          normalized.vector
        )

      coherence =
        ((coherence + 1.0) / 2.0) * 100.0

      allowed =
        @policy.permit?(
          coherence: coherence,
          entropy: entropy,
          risk: normalized.risk
        )

      if allowed
        @intent_core.evaluate_action_permission(normalized)
      else
        Decision.new(
          allowed: false,
          reason: @policy.explain(
            coherence: coherence,
            entropy: entropy,
            risk: normalized.risk
          ),
          coherence: coherence,
          entropy_delta: entropy,
          risk: normalized.risk,
          timestamp: Time.now.utc.iso8601(6),
          action: normalized.name
        )
      end
    end

    def fold(payload)
      @resonance_engine.fold_information(payload)
    end

    def state
      {
        intent_coherence: @intent_core.coherence_score,
        emotional_state: @intent_core.emotional_state,
        resonance: @resonance_engine.field_state,
        diary_events: @intent_core.field_diary.count
      }
    end
  end

  class DissonanceOverride < StandardError
  end
end


# =============================================================================
# Example
# =============================================================================

runtime =
  RubySelfResonance::PermissionRuntime.new(
    [1.0, 0.8, 0.6, 0.9]
  )

action =
  RubySelfResonance::ActionVector.new(
    name: :compile_kernel,
    vector: [1.0, 0.7, 0.5, 0.8],
    entropy_cost: 0.20,
    purpose: 1.0,
    risk: 0.10,
    metadata: {
      subsystem: :kernel,
      operation: :compile
    }
  )

decision = runtime.authorize(action)

puts decision.to_h
puts runtime.state

	# SPDX-License-Identifier: LicenseRef-NON-AI-MPL-2.0
	# Copyright (C) 2026 SnapKitty Collective
	# frozen_string_literal: true

	module RubySelfResonance
	VERSION = "0.1.0"

	# --------------------------------------------------------------------------
	# Deterministic primitives
	# --------------------------------------------------------------------------

	module MathKernel
	module_function

	def clamp(value, min, max)
	[[value.to_f, min].max, max].min
	end

	def normalize(value, max)
	return 0.0 if max.to_f.zero?

	clamp(value.to_f / max.to_f, 0.0, 1.0)
	end

	def distance(a, b)
	a = Array(a).map(&:to_f)
	b = Array(b).map(&:to_f)

	raise ArgumentError, "Vector dimensions must match" unless a.length == b.length

	Math.sqrt(
	a.zip(b).sum { \|x, y\| (x - y)**2 }
	)
	end

	def cosine_similarity(a, b)
	a = Array(a).map(&:to_f)
	b = Array(b).map(&:to_f)

	raise ArgumentError, "Vector dimensions must match" unless a.length == b.length

	numerator = a.zip(b).sum { \|x, y\| x * y }
	magnitude_a = Math.sqrt(a.sum { \|x\| x * x })
	magnitude_b = Math.sqrt(b.sum { \|x\| x * x })

	return 0.0 if magnitude_a.zero? \|\| magnitude_b.zero?

	numerator / (magnitude_a * magnitude_b)
	end
	end

	# --------------------------------------------------------------------------
	# Immutable action representation
	# --------------------------------------------------------------------------

	ActionVector = Struct.new(
	:name,
	:vector,
	:entropy_cost,
	:purpose,
	:risk,
	:metadata,
	keyword_init: true
	) do
	def initialize(**kwargs)
	super

	self.vector = Array(vector).map(&:to_f).freeze
	self.entropy_cost = entropy_cost.to_f
	self.purpose = purpose.to_f
	self.risk = risk.to_f
	self.metadata = (metadata \|\| {}).dup.freeze

	freeze
	end
	end

	# --------------------------------------------------------------------------
	# Decision result
	# --------------------------------------------------------------------------

	Decision = Struct.new(
	:allowed,
	:reason,
	:coherence,
	:entropy_delta,
	:risk,
	:timestamp,
	:action,
	keyword_init: true
	) do
	def allowed?
	allowed == true
	end

	def denied?
	!allowed?
	end

	def to_h
	{
	allowed: allowed,
	reason: reason,
	coherence: coherence,
	entropy_delta: entropy_delta,
	risk: risk,
	timestamp: timestamp,
	action: action
	}
	end
	end

	# --------------------------------------------------------------------------
	# Append-only field diary
	# --------------------------------------------------------------------------

	class FieldDiary
	attr_reader :events

	def initialize
	@events = []
	end

	def record(type, payload = {})
	event = {
	sequence: @events.length + 1,
	type: type,
	timestamp: Time.now.utc.iso8601(6),
	payload: deep_freeze(payload)
	}

	@events << event.freeze
	event
	end

	def last(count = 1)
	@events.last(count)
	end

	def count
	@events.length
	end

	private

	def deep_freeze(object)
	case object
	when Hash
	object.each { \|key, value\| deep_freeze(key); deep_freeze(value) }
	when Array
	object.each { \|value\| deep_freeze(value) }
	end

	object.freeze
	end
	end

	# --------------------------------------------------------------------------
	# Intent simulator
	# --------------------------------------------------------------------------

	class IntentSimCore
	attr_reader :coherence_score,
	:emotional_state,
	:field_diary,
	:initial_intent

	def initialize(initial_intent)
	@initial_intent = Array(initial_intent).map(&:to_f).freeze
	@coherence_score = calculate_initial_resonance(@initial_intent)
	@field_diary = FieldDiary.new
	@emotional_state = :stable
	@action_count = 0

	@field_diary.record(
	:initialization,
	coherence: @coherence_score,
	intent: @initial_intent
	)
	end

	def evaluate_action_permission(action_vector)
	action = normalize_action(action_vector)
	entropy_delta = calculate_entropy_impact(action)

	coherence = calculate_action_coherence(action)

	if coherence > entropy_delta && action.risk <= coherence
	execute_sovereign_logic(action, coherence, entropy_delta)
	else
	log_dissonance_event(
	"Action denied: Exceeds Self-Reflection Threshold",
	action,
	coherence,
	entropy_delta
	)
	end
	end

	def update_intent(new_intent)
	@initial_intent = Array(new_intent).map(&:to_f).freeze
	@coherence_score = calculate_initial_resonance(@initial_intent)

	@field_diary.record(
	:intent_update,
	coherence: @coherence_score,
	intent: @initial_intent
	)

	@coherence_score
	end

	private

	def normalize_action(action)
	return action if action.is_a?(ActionVector)

	ActionVector.new(
	name: action[:name] \|\| "anonymous",
	vector: action[:vector] \|\| @initial_intent,
	entropy_cost: action[:entropy_cost] \|\| action[:entropy_friction] \|\| 0.1,
	purpose: action[:purpose] \|\| action[:purpose_vector] \|\| 1.0,
	risk: action[:risk] \|\| 0.0,
	metadata: action[:metadata] \|\| {}
	)
	end

	def calculate_initial_resonance(intent)
	magnitude = Math.sqrt(
	intent.sum { \|value\| value**2 }
	)

	MathKernel.clamp(magnitude, 0.0, 100.0)
	end

	def calculate_entropy_impact(action)
	structural_friction = MathKernel.clamp(action.entropy_cost, 0.0, 100.0)
	purpose = [action.purpose, 0.000001].max

	structural_friction / purpose
	end

	def calculate_action_coherence(action)
	similarity =
	MathKernel.cosine_similarity(@initial_intent, action.vector)

	baseline =
	MathKernel.clamp(@coherence_score / 100.0, 0.0, 1.0)

	((similarity + 1.0) / 2.0) * baseline * 100.0
	end

	def execute_sovereign_logic(action, coherence, entropy_delta)
	@action_count += 1

	event = @field_diary.record(
	:permission_granted,
	action: action.name,
	coherence: coherence,
	entropy_delta: entropy_delta,
	risk: action.risk,
	count: @action_count
	)

	Decision.new(
	allowed: true,
	reason: "coherence_threshold_satisfied",
	coherence: coherence,
	entropy_delta: entropy_delta,
	risk: action.risk,
	timestamp: event[:timestamp],
	action: action.name
	)
	end

	def log_dissonance_event(reason, action, coherence, entropy_delta)
	event = @field_diary.record(
	:permission_denied,
	reason: reason,
	action: action.name,
	coherence: coherence,
	entropy_delta: entropy_delta,
	risk: action.risk
	)

	Decision.new(
	allowed: false,
	reason: reason,
	coherence: coherence,
	entropy_delta: entropy_delta,
	risk: action.risk,
	timestamp: event[:timestamp],
	action: action.name
	)
	end
	end

	# --------------------------------------------------------------------------
	# Resonance engine
	# --------------------------------------------------------------------------

	class MezquiaResonanceEngine
	RESONANCE_CONSTANT = 1.0 / 13.0

	attr_reader :memory_creases,
	:crystallization_density,
	:self_reflection_threshold,
	:intent_vector,
	:history

	def initialize(initial_intent_vector)
	@intent_vector = Array(initial_intent_vector).map(&:to_f).freeze
	@memory_creases = 0
	@crystallization_density = 0.0
	@self_reflection_threshold = 44.0
	@history = []
	end

	def fold_information(action_payload)
	payload = symbolize(action_payload)

	@memory_creases += 1

	density_delta =
	calculate_crystallization_density(payload)

	@history << {
	sequence: @memory_creases,
	density_delta: density_delta,
	density: @crystallization_density,
	payload: payload.freeze,
	timestamp: Time.now.utc.iso8601(6)
	}.freeze

	if sovereign_alignment?
	execute_intent_nexus(payload)
	else
	raise(
	DissonanceOverride,
	"Crystallization requires Field Correction."
	)
	end
	end

	def sovereign_alignment?
	@crystallization_density > 0 &&
	@crystallization_density >= @self_reflection_threshold
	end

	def reset_field!
	@memory_creases = 0
	@crystallization_density = 0.0
	@history.clear
	true
	end

	def field_state
	{
	memory_creases: @memory_creases,
	crystallization_density: @crystallization_density.round(6),
	threshold: @self_reflection_threshold,
	aligned: sovereign_alignment?
	}
	end

	private

	def calculate_crystallization_density(payload)
	system_entropy =
	[payload.fetch(:entropy_friction, 0.1).to_f, 0.000001].max

	meaning_bloom =
	payload.fetch(:purpose_vector, 1.0).to_f

	raw_density =
	(meaning_bloom / system_entropy) * RESONANCE_CONSTANT

	delta = raw_density.round(6)

	@crystallization_density += delta

	delta
	end

	def execute_intent_nexus(payload)
	result = {
	status: :executed,
	mechanism: :intent_nexus,
	density: @crystallization_density.round(6),
	payload: payload
	}

	puts(
	"[RESONANCE_LOG] Coherence locked. " \
	"Executing Field Action."
	)

	result
	end

	def symbolize(hash)
	hash.each_with_object({}) do \|(key, value), result\|
	result[key.to_sym] = value
	end
	end
	end

	# --------------------------------------------------------------------------
	# Policy layer
	# --------------------------------------------------------------------------

	class CoherencePolicy
	attr_reader :minimum_coherence,
	:maximum_entropy,
	:maximum_risk

	def initialize(
	minimum_coherence: 50.0,
	maximum_entropy: 1.0,
	maximum_risk: 0.5
	)
	@minimum_coherence = minimum_coherence.to_f
	@maximum_entropy = maximum_entropy.to_f
	@maximum_risk = maximum_risk.to_f
	end

	def permit?(coherence:, entropy:, risk:)
	coherence >= @minimum_coherence &&
	entropy <= @maximum_entropy &&
	risk <= @maximum_risk
	end

	def explain(coherence:, entropy:, risk:)
	failures = []

	failures << :coherence if coherence < @minimum_coherence
	failures << :entropy if entropy > @maximum_entropy
	failures << :risk if risk > @maximum_risk

	failures
	end
	end

	# --------------------------------------------------------------------------
	# Complete permission runtime
	# --------------------------------------------------------------------------

	class PermissionRuntime
	attr_reader :intent_core,
	:resonance_engine,
	:policy

	def initialize(
	initial_intent,
	policy: CoherencePolicy.new
	)
	@intent_core = IntentSimCore.new(initial_intent)
	@resonance_engine =
	MezquiaResonanceEngine.new(initial_intent)
	@policy = policy
	end

	def authorize(action)
	normalized =
	action.is_a?(ActionVector) ?
	action :
	ActionVector.new(**action)

	entropy =
	normalized.entropy_cost /
	[normalized.purpose, 0.000001].max

	coherence =
	MathKernel.cosine_similarity(
	@intent_core.initial_intent,
	normalized.vector
	)

	coherence =
	((coherence + 1.0) / 2.0) * 100.0

	allowed =
	@policy.permit?(
	coherence: coherence,
	entropy: entropy,
	risk: normalized.risk
	)

	if allowed
	@intent_core.evaluate_action_permission(normalized)
	else
	Decision.new(
	allowed: false,
	reason: @policy.explain(
	coherence: coherence,
	entropy: entropy,
	risk: normalized.risk
	),
	coherence: coherence,
	entropy_delta: entropy,
	risk: normalized.risk,
	timestamp: Time.now.utc.iso8601(6),
	action: normalized.name
	)
	end
	end

	def fold(payload)
	@resonance_engine.fold_information(payload)
	end

	def state
	{
	intent_coherence: @intent_core.coherence_score,
	emotional_state: @intent_core.emotional_state,
	resonance: @resonance_engine.field_state,
	diary_events: @intent_core.field_diary.count
	}
	end
	end

	class DissonanceOverride < StandardError
	end
	end


	# =============================================================================
	# Example
	# =============================================================================

	runtime =
	RubySelfResonance::PermissionRuntime.new(
	[1.0, 0.8, 0.6, 0.9]
	)

	action =
	RubySelfResonance::ActionVector.new(
	name: :compile_kernel,
	vector: [1.0, 0.7, 0.5, 0.8],
	entropy_cost: 0.20,
	purpose: 1.0,
	risk: 0.10,
	metadata: {
	subsystem: :kernel,
	operation: :compile
	}
	)

	decision = runtime.authorize(action)

	puts decision.to_h
	puts runtime.state