agents

%% bio_inspired_self_healing.erl
%% Bio-inspired self-healing distributed agent networks
%% Immune system, cellular biology, and neural plasticity concepts
-module(bio_inspired_self_healing).
-behaviour(gen_server).

-export([
    start_link/0,
    immune_system_activation/2,
    cellular_regeneration/3,
    neural_plasticity_adaptation/3,
    ecosystem_rebalancing/2,
    genetic_repair_mechanisms/3,
    membrane_permeability_control/3,
    metabolic_pathway_optimization/2,
    symbiotic_relationship_formation/4,
    viral_defense_protocols/3,
    apoptosis_controlled_death/3,
    stem_cell_differentiation/4,
    hormonal_signaling_cascade/3,
    circadian_rhythm_synchronization/2,
    evolutionary_pressure_adaptation/3,
    microbiome_balance_restoration/3
]).

-export([init/1, handle_call/3, handle_cast/2, handle_info/2, terminate/2, code_change/3]).

-define(IMMUNE_SYSTEM, immune_system_registry).
-define(CELLULAR_NETWORK, cellular_network_topology).
-define(NEURAL_PATHWAYS, neural_pathway_map).
-define(ECOSYSTEM_STATE, ecosystem_health_state).

-record(state, {
    immune_system,
    cellular_network,
    neural_plasticity_engine,
    ecosystem_monitor,
    genetic_repair_system,
    membrane_controller,
    metabolic_optimizer,
    symbiosis_coordinator,
    viral_defense_system,
    apoptosis_controller,
    stem_cell_bank,
    hormone_cascade_manager,
    circadian_synchronizer,
    evolution_pressure_sensor,
    microbiome_balancer
}).

-record(immune_cell, {
    cell_id,
    cell_type, % t_helper, t_killer, b_cell, macrophage, dendritic, nk_cell
    activation_level = 0.0,
    antigen_recognition_patterns = [],
    memory_antibodies = [],
    location,
    energy_level = 1.0,
    division_capability = true,
    communication_receptors = [],
    cytokine_production = #{},
    pathogen_encounters = [],
    age = 0
}).

-record(cellular_organism, {
    cell_id,
    cell_type, % neuron, muscle, epithelial, stem, specialized_agent
    dna_sequence,
    rna_expression = #{},
    protein_synthesis = #{},
    membrane_permeability = #{},
    organelle_health = #{},
    metabolic_rate = 1.0,
    repair_capability = 1.0,
    division_cycle_phase,
    intercellular_connections = [],
    signaling_molecules = #{},
    stress_indicators = #{},
    adaptation_history = []
}).

-record(neural_pathway, {
    pathway_id,
    source_neurons = [],
    target_neurons = [],
    synaptic_weights = #{},
    neurotransmitters = [],
    plasticity_rules = [],
    activation_threshold = 0.7,
    refractory_period = 100,
    long_term_potentiation = 0.0,
    long_term_depression = 0.0,
    myelin_thickness = 1.0,
    pathway_strength = 1.0,
    usage_frequency = 0,
    last_activation
}).

-record(ecosystem_component, {
    component_id,
    component_type, % producer, consumer, decomposer, regulator
    energy_flow_patterns = #{},
    resource_requirements = #{},
    waste_products = [],
    symbiotic_relationships = [],
    competitive_relationships = [],
    population_size = 1,
    carrying_capacity = 100,
    adaptation_rate = 0.1,
    resilience_factor = 0.8,
    niche_specificity = 0.5
}).

-record(pathogen, {
    pathogen_id,
    pathogen_type, % virus, bacteria, trojan, malware, corrupted_agent
    virulence_factors = [],
    transmission_methods = [],
    host_specificity = [],
    mutation_rate = 0.01,
    resistance_mechanisms = [],
    incubation_period = 1000,
    symptoms_caused = [],
    detection_evasion = [],
    replication_strategy
}).

%% Public API

start_link() ->
    gen_server:start_link({local, ?MODULE}, ?MODULE, [], []).

%% Activate immune system response to threats
immune_system_activation(ThreatSignature, ResponseIntensity) ->
    gen_server:call(?MODULE, {immune_activation, ThreatSignature, ResponseIntensity}).

%% Trigger cellular regeneration and repair
cellular_regeneration(DamagedCells, RegenerationStrategy, Resources) ->
    gen_server:call(?MODULE, {cellular_regen, DamagedCells, RegenerationStrategy, Resources}).

%% Adapt neural pathways based on experience
neural_plasticity_adaptation(LearningExperience, AdaptationStrength, ConsolidationTime) ->
    gen_server:call(?MODULE, {neural_plasticity, LearningExperience, AdaptationStrength, ConsolidationTime}).

%% Rebalance ecosystem components
ecosystem_rebalancing(ImbalanceIndicators, RebalancingStrategy) ->
    gen_server:call(?MODULE, {ecosystem_rebalance, ImbalanceIndicators, RebalancingStrategy}).

%% Activate genetic repair mechanisms
genetic_repair_mechanisms(DNADamage, RepairType, RepairPriority) ->
    gen_server:call(?MODULE, {genetic_repair, DNADamage, RepairType, RepairPriority}).

%% Control membrane permeability for protection
membrane_permeability_control(CellTargets, PermeabilityChanges, ControlDuration) ->
    gen_server:call(?MODULE, {membrane_control, CellTargets, PermeabilityChanges, ControlDuration}).

%% Optimize metabolic pathways for efficiency
metabolic_pathway_optimization(MetabolicTargets, OptimizationCriteria) ->
    gen_server:call(?MODULE, {metabolic_optimization, MetabolicTargets, OptimizationCriteria}).

%% Form symbiotic relationships between agents
symbiotic_relationship_formation(Agent1, Agent2, SymbiosisType, MutualBenefits) ->
    gen_server:call(?MODULE, {form_symbiosis, Agent1, Agent2, SymbiosisType, MutualBenefits}).

%% Deploy viral defense protocols
viral_defense_protocols(ViralThreat, DefenseStrategy, QuarantineRules) ->
    gen_server:call(?MODULE, {viral_defense, ViralThreat, DefenseStrategy, QuarantineRules}).

%% Execute controlled cell death (apoptosis)
apoptosis_controlled_death(TargetCells, ApoptosisSignals, SafetyChecks) ->
    gen_server:call(?MODULE, {controlled_apoptosis, TargetCells, ApoptosisSignals, SafetyChecks}).

%% Differentiate stem cells into specialized types
stem_cell_differentiation(StemCellPool, DifferentiationSignals, TargetType, Environment) ->
    gen_server:call(?MODULE, {stem_differentiation, StemCellPool, DifferentiationSignals, TargetType, Environment}).

%% Trigger hormonal signaling cascade
hormonal_signaling_cascade(HormoneTrigger, CascadeType, TargetOrgans) ->
    gen_server:call(?MODULE, {hormone_cascade, HormoneTrigger, CascadeType, TargetOrgans}).

%% Synchronize circadian rhythms across network
circadian_rhythm_synchronization(CircadianSignals, SynchronizationTarget) ->
    gen_server:call(?MODULE, {circadian_sync, CircadianSignals, SynchronizationTarget}).

%% Adapt to evolutionary pressures
evolutionary_pressure_adaptation(EvolutionaryPressures, AdaptationMechanisms, TimeFrame) ->
    gen_server:call(?MODULE, {evolutionary_adaptation, EvolutionaryPressures, AdaptationMechanisms, TimeFrame}).

%% Restore microbiome balance
microbiome_balance_restoration(MicrobiomeState, ImbalanceFactors, RestorationStrategy) ->
    gen_server:call(?MODULE, {microbiome_balance, MicrobiomeState, ImbalanceFactors, RestorationStrategy}).

%% Gen_server callbacks

init([]) ->
    % Create ETS tables for bio-inspired systems
    ets:new(?IMMUNE_SYSTEM, [named_table, public, {keypos, #immune_cell.cell_id}]),
    ets:new(?CELLULAR_NETWORK, [named_table, public, {keypos, #cellular_organism.cell_id}]),
    ets:new(?NEURAL_PATHWAYS, [named_table, public, {keypos, #neural_pathway.pathway_id}]),
    ets:new(?ECOSYSTEM_STATE, [named_table, public, {keypos, #ecosystem_component.component_id}]),
    
    % Start biological systems
    ImmuneSystem = spawn_link(fun() -> immune_system_loop(#{}) end),
    CellularNetwork = spawn_link(fun() -> cellular_network_loop(#{}) end),
    NeuralPlasticityEngine = spawn_link(fun() -> neural_plasticity_loop(#{}) end),
    EcosystemMonitor = spawn_link(fun() -> ecosystem_monitor_loop(#{}) end),
    GeneticRepairSystem = spawn_link(fun() -> genetic_repair_loop(#{}) end),
    MembraneController = spawn_link(fun() -> membrane_control_loop(#{}) end),
    MetabolicOptimizer = spawn_link(fun() -> metabolic_optimizer_loop(#{}) end),
    SymbiosisCoordinator = spawn_link(fun() -> symbiosis_coordinator_loop(#{}) end),
    ViralDefenseSystem = spawn_link(fun() -> viral_defense_loop(#{}) end),
    ApoptosisController = spawn_link(fun() -> apoptosis_controller_loop(#{}) end),
    StemCellBank = spawn_link(fun() -> stem_cell_bank_loop(#{}) end),
    HormoneCascadeManager = spawn_link(fun() -> hormone_cascade_loop(#{}) end),
    CircadianSynchronizer = spawn_link(fun() -> circadian_synchronizer_loop(#{}) end),
    EvolutionPressureSensor = spawn_link(fun() -> evolution_pressure_loop(#{}) end),
    MicrobiomeBalancer = spawn_link(fun() -> microbiome_balancer_loop(#{}) end),
    
    % Initialize biological networks
    initialize_immune_system(),
    initialize_cellular_network(),
    initialize_neural_pathways(),
    initialize_ecosystem_components(),
    
    {ok, #state{
        immune_system = ImmuneSystem,
        cellular_network = CellularNetwork,
        neural_plasticity_engine = NeuralPlasticityEngine,
        ecosystem_monitor = EcosystemMonitor,
        genetic_repair_system = GeneticRepairSystem,
        membrane_controller = MembraneController,
        metabolic_optimizer = MetabolicOptimizer,
        symbiosis_coordinator = SymbiosisCoordinator,
        viral_defense_system = ViralDefenseSystem,
        apoptosis_controller = ApoptosisController,
        stem_cell_bank = StemCellBank,
        hormone_cascade_manager = HormoneCascadeManager,
        circadian_synchronizer = CircadianSynchronizer,
        evolution_pressure_sensor = EvolutionPressureSensor,
        microbiome_balancer = MicrobiomeBalancer
    }}.

handle_call({immune_activation, ThreatSignature, Intensity}, _From, State) ->
    Result = activate_immune_response(ThreatSignature, Intensity, State),
    {reply, Result, State};

handle_call({cellular_regen, DamagedCells, Strategy, Resources}, _From, State) ->
    Result = initiate_cellular_regeneration(DamagedCells, Strategy, Resources, State),
    {reply, Result, State};

handle_call({neural_plasticity, Experience, Strength, Time}, _From, State) ->
    Result = execute_neural_plasticity(Experience, Strength, Time, State),
    {reply, Result, State};

handle_call({ecosystem_rebalance, Indicators, Strategy}, _From, State) ->
    Result = execute_ecosystem_rebalancing(Indicators, Strategy, State),
    {reply, Result, State};

handle_call({genetic_repair, Damage, Type, Priority}, _From, State) ->
    Result = execute_genetic_repair(Damage, Type, Priority, State),
    {reply, Result, State};

handle_call({membrane_control, Targets, Changes, Duration}, _From, State) ->
    Result = execute_membrane_control(Targets, Changes, Duration, State),
    {reply, Result, State};

handle_call({metabolic_optimization, Targets, Criteria}, _From, State) ->
    Result = execute_metabolic_optimization(Targets, Criteria, State),
    {reply, Result, State};

handle_call({form_symbiosis, Agent1, Agent2, Type, Benefits}, _From, State) ->
    Result = establish_symbiotic_relationship(Agent1, Agent2, Type, Benefits, State),
    {reply, Result, State};

handle_call({viral_defense, Threat, Strategy, Quarantine}, _From, State) ->
    Result = deploy_viral_defenses(Threat, Strategy, Quarantine, State),
    {reply, Result, State};

handle_call({controlled_apoptosis, Targets, Signals, Safety}, _From, State) ->
    Result = execute_controlled_apoptosis(Targets, Signals, Safety, State),
    {reply, Result, State};

handle_call({stem_differentiation, Pool, Signals, Type, Environment}, _From, State) ->
    Result = execute_stem_cell_differentiation(Pool, Signals, Type, Environment, State),
    {reply, Result, State};

handle_call({hormone_cascade, Trigger, Type, Targets}, _From, State) ->
    Result = initiate_hormone_cascade(Trigger, Type, Targets, State),
    {reply, Result, State};

handle_call({circadian_sync, Signals, Target}, _From, State) ->
    Result = synchronize_circadian_rhythms(Signals, Target, State),
    {reply, Result, State};

handle_call({evolutionary_adaptation, Pressures, Mechanisms, TimeFrame}, _From, State) ->
    Result = execute_evolutionary_adaptation(Pressures, Mechanisms, TimeFrame, State),
    {reply, Result, State};

handle_call({microbiome_balance, MicrobiomeState, Factors, Strategy}, _From, State) ->
    Result = restore_microbiome_balance(MicrobiomeState, Factors, Strategy, State),
    {reply, Result, State};

handle_call(_Request, _From, State) ->
    {reply, {error, unknown_request}, State}.

handle_cast({pathogen_detected, PathogenData}, State) ->
    trigger_immune_response(PathogenData),
    {noreply, State};

handle_cast({cellular_damage, DamageReport}, State) ->
    initiate_repair_mechanisms(DamageReport),
    {noreply, State};

handle_cast({neural_activity, ActivityPattern}, State) ->
    update_neural_plasticity(ActivityPattern),
    {noreply, State};

handle_cast({ecosystem_stress, StressSignals}, State) ->
    respond_to_ecosystem_stress(StressSignals),
    {noreply, State};

handle_cast(_Msg, State) ->
    {noreply, State}.

handle_info({immune_patrol, PatrolData}, State) ->
    process_immune_patrol_findings(PatrolData),
    schedule_next_immune_patrol(),
    {noreply, State};

handle_info({cellular_cycle, CyclePhase}, State) ->
    advance_cellular_cycles(CyclePhase),
    {noreply, State};

handle_info({neural_consolidation, ConsolidationData}, State) ->
    consolidate_neural_memories(ConsolidationData),
    {noreply, State};

handle_info({ecosystem_monitoring, EcosystemData}, State) ->
    analyze_ecosystem_health(EcosystemData),
    {noreply, State};

handle_info({circadian_pulse, CircadianData}, State) ->
    synchronize_biological_clocks(CircadianData),
    {noreply, State};

handle_info(_Info, State) ->
    {noreply, State}.

terminate(_Reason, _State) ->
    ok.

code_change(_OldVsn, State, _Extra) ->
    {ok, State}.

%% Core Bio-Inspired Implementations

activate_immune_response(ThreatSignature, Intensity, State) ->
    try
        % Phase 1: Threat recognition and classification
        ThreatClassification = classify_biological_threat(ThreatSignature),
        
        % Phase 2: Activate appropriate immune cells
        ActivatedCells = activate_immune_cell_types(ThreatClassification, Intensity),
        
        % Phase 3: Coordinate immune response
        ImmuneCoordination = coordinate_immune_system_response(ActivatedCells, ThreatSignature),
        
        % Phase 4: Deploy countermeasures
        Countermeasures = deploy_immune_countermeasures(ImmuneCoordination),
        
        % Phase 5: Monitor and adapt response
        ResponseMonitoring = monitor_immune_response_effectiveness(Countermeasures),
        
        % Phase 6: Generate immune memory
        ImmuneMemory = generate_immune_memory(ThreatSignature, ResponseMonitoring),
        
        {ok, #{
            threat_classification => ThreatClassification,
            activated_cells => length(ActivatedCells),
            coordination_strategy => ImmuneCoordination,
            countermeasures_deployed => Countermeasures,
            response_effectiveness => ResponseMonitoring,
            immune_memory_created => ImmuneMemory
        }}
    catch
        E:R:S ->
            {error, {immune_activation_failed, E, R, S}}
    end.

initiate_cellular_regeneration(DamagedCells, Strategy, Resources, State) ->
    try
        % Phase 1: Assess cellular damage extent
        DamageAssessment = assess_cellular_damage(DamagedCells),
        
        % Phase 2: Determine regeneration feasibility
        RegenerationFeasibility = evaluate_regeneration_feasibility(DamageAssessment, Resources),
        
        case RegenerationFeasibility of
            {feasible, RegenerationPlan} ->
                % Phase 3: Mobilize stem cell reserves
                StemCellMobilization = mobilize_stem_cell_reserves(RegenerationPlan),
                
                % Phase 4: Initiate differentiation programs
                DifferentiationResult = initiate_cellular_differentiation(StemCellMobilization, Strategy),
                
                % Phase 5: Guide tissue formation
                TissueFormation = guide_tissue_regeneration(DifferentiationResult),
                
                % Phase 6: Integrate new cells
                CellularIntegration = integrate_regenerated_cells(TissueFormation, DamagedCells),
                
                % Phase 7: Restore functionality
                FunctionalityRestoration = restore_cellular_functionality(CellularIntegration),
                
                {ok, #{
                    damage_assessment => DamageAssessment,
                    regeneration_plan => RegenerationPlan,
                    stem_cells_mobilized => StemCellMobilization,
                    differentiation_result => DifferentiationResult,
                    tissue_formation => TissueFormation,
                    cellular_integration => CellularIntegration,
                    functionality_restored => FunctionalityRestoration
                }};
            {not_feasible, Reason} ->
                {error, {regeneration_not_feasible, Reason}}
        end
    catch
        E:R:S ->
            {error, {cellular_regeneration_failed, E, R, S}}
    end.

execute_neural_plasticity(LearningExperience, AdaptationStrength, ConsolidationTime, State) ->
    try
        % Phase 1: Analyze learning experience patterns
        ExperienceAnalysis = analyze_learning_experience(LearningExperience),
        
        % Phase 2: Identify relevant neural pathways
        RelevantPathways = identify_relevant_neural_pathways(ExperienceAnalysis),
        
        % Phase 3: Apply synaptic plasticity rules
        SynapticChanges = apply_synaptic_plasticity_rules(RelevantPathways, AdaptationStrength),
        
        % Phase 4: Update synaptic weights
        WeightUpdates = update_synaptic_weights(SynapticChanges),
        
        % Phase 5: Modify neural connectivity
        ConnectivityChanges = modify_neural_connectivity(WeightUpdates, ExperienceAnalysis),
        
        % Phase 6: Initiate memory consolidation
        MemoryConsolidation = initiate_memory_consolidation(ConnectivityChanges, ConsolidationTime),
        
        % Phase 7: Update neural pathway registry
        PathwayUpdates = update_neural_pathway_registry(MemoryConsolidation),
        
        {ok, #{
            experience_analysis => ExperienceAnalysis,
            relevant_pathways => length(RelevantPathways),
            synaptic_changes => SynapticChanges,
            weight_updates => WeightUpdates,
            connectivity_changes => ConnectivityChanges,
            memory_consolidation => MemoryConsolidation,
            pathway_updates => PathwayUpdates
        }}
    catch
        E:R:S ->
            {error, {neural_plasticity_failed, E, R, S}}
    end.

execute_ecosystem_rebalancing(ImbalanceIndicators, RebalancingStrategy, State) ->
    try
        % Phase 1: Diagnose ecosystem imbalances
        EcosystemDiagnosis = diagnose_ecosystem_imbalances(ImbalanceIndicators),
        
        % Phase 2: Identify keystone species/components
        KeystoneComponents = identify_keystone_components(EcosystemDiagnosis),
        
        % Phase 3: Calculate intervention points
        InterventionPoints = calculate_ecosystem_intervention_points(KeystoneComponents),
        
        % Phase 4: Design rebalancing interventions
        RebalancingInterventions = design_rebalancing_interventions(InterventionPoints, RebalancingStrategy),
        
        % Phase 5: Execute coordinated interventions
        InterventionResults = execute_coordinated_interventions(RebalancingInterventions),
        
        % Phase 6: Monitor ecosystem response
        EcosystemResponse = monitor_ecosystem_response(InterventionResults),
        
        % Phase 7: Adaptive intervention adjustment
        AdaptiveAdjustments = perform_adaptive_intervention_adjustments(EcosystemResponse),
        
        {ok, #{
            ecosystem_diagnosis => EcosystemDiagnosis,
            keystone_components => KeystoneComponents,
            intervention_points => InterventionPoints,
            rebalancing_interventions => RebalancingInterventions,
            intervention_results => InterventionResults,
            ecosystem_response => EcosystemResponse,
            adaptive_adjustments => AdaptiveAdjustments
        }}
    catch
        E:R:S ->
            {error, {ecosystem_rebalancing_failed, E, R, S}}
    end.

deploy_viral_defenses(ViralThreat, DefenseStrategy, QuarantineRules, State) ->
    try
        % Phase 1: Viral threat analysis
        ThreatAnalysis = analyze_viral_threat_characteristics(ViralThreat),
        
        % Phase 2: Activate antiviral mechanisms
        AntiviralMechanisms = activate_antiviral_defense_mechanisms(ThreatAnalysis),
        
        % Phase 3: Implement quarantine protocols
        QuarantineImplementation = implement_quarantine_protocols(ViralThreat, QuarantineRules),
        
        % Phase 4: Deploy viral interference
        ViralInterference = deploy_viral_interference_mechanisms(AntiviralMechanisms),
        
        % Phase 5: Enhance cellular immunity
        CellularImmunity = enhance_cellular_immunity_response(ThreatAnalysis),
        
        % Phase 6: Monitor viral replication
        ReplicationMonitoring = monitor_viral_replication_patterns(ViralThreat),
        
        % Phase 7: Adaptive defense evolution
        DefenseEvolution = evolve_adaptive_defense_mechanisms(ReplicationMonitoring),
        
        {ok, #{
            threat_analysis => ThreatAnalysis,
            antiviral_mechanisms => AntiviralMechanisms,
            quarantine_implementation => QuarantineImplementation,
            viral_interference => ViralInterference,
            cellular_immunity => CellularImmunity,
            replication_monitoring => ReplicationMonitoring,
            defense_evolution => DefenseEvolution
        }}
    catch
        E:R:S ->
            {error, {viral_defense_failed, E, R, S}}
    end.

%% Supporting Biological Process Loops

immune_system_loop(State) ->
    receive
        {patrol_system, PatrolArea} ->
            PatrolResults = conduct_immune_system_patrol(PatrolArea),
            case detect_threats_in_patrol(PatrolResults) of
                {threats_detected, Threats} ->
                    bio_inspired_self_healing ! {pathogen_detected, Threats};
                no_threats ->
                    ok
            end,
            immune_system_loop(State);
        {activate_response, ThreatData} ->
            execute_coordinated_immune_response(ThreatData),
            immune_system_loop(State);
        stop ->
            ok
    after 5000 ->
        perform_routine_immune_surveillance(),
        immune_system_loop(State)
    end.

cellular_network_loop(State) ->
    receive
        {cell_division, CellId} ->
            execute_cellular_division(CellId),
            cellular_network_loop(State);
        {intercellular_communication, Message} ->
            propagate_intercellular_signals(Message),
            cellular_network_loop(State);
        {apoptosis_signal, CellId, Reason} ->
            evaluate_apoptosis_necessity(CellId, Reason),
            cellular_network_loop(State);
        stop ->
            ok
    after 1000 ->
        monitor_cellular_health(),
        cellular_network_loop(State)
    end.

neural_plasticity_loop(State) ->
    receive
        {synaptic_activity, ActivityData} ->
            update_synaptic_strengths(ActivityData),
            neural_plasticity_loop(State);
        {learning_event, LearningData} ->
            consolidate_learning_experience(LearningData),
            neural_plasticity_loop(State);
        {memory_recall, MemoryPattern} ->
            strengthen_recalled_pathways(MemoryPattern),
            neural_plasticity_loop(State);
        stop ->
            ok
    after 2000 ->
        perform_synaptic_maintenance(),
        neural_plasticity_loop(State)
    end.

%% Utility Functions

classify_biological_threat(ThreatSignature) ->
    % Analyze threat patterns and classify
    ThreatPatterns = extract_threat_patterns(ThreatSignature),
    
    % Compare against known pathogen signatures
    ClosestMatch = find_closest_pathogen_match(ThreatPatterns),
    
    % Determine threat severity and type
    #{
        threat_type => determine_threat_type(ClosestMatch),
        severity_level => calculate_threat_severity(ThreatPatterns),
        novel_indicators => identify_novel_threat_indicators(ThreatSignature),
        response_urgency => calculate_response_urgency(ThreatPatterns)
    }.

initialize_immune_system() ->
    % Create diverse immune cell populations
    ImmunePopulations = [
        create_immune_cell_population(t_helper, 100),
        create_immune_cell_population(t_killer, 80),
        create_immune_cell_population(b_cell, 120),
        create_immune_cell_population(macrophage, 60),
        create_immune_cell_population(dendritic, 40),
        create_immune_cell_population(nk_cell, 50)
    ],
    
    % Register immune cells
    lists:foreach(fun(Population) ->
        lists:foreach(fun(Cell) ->
            ets:insert(?IMMUNE_SYSTEM, Cell)
        end, Population)
    end, ImmunePopulations).

initialize_cellular_network() ->
    % Create cellular network with different cell types
    CellularPopulations = [
        create_cellular_population(neuron, 200),
        create_cellular_population(muscle, 150),
        create_cellular_population(epithelial, 300),
        create_cellular_population(stem, 50),
        create_cellular_population(specialized_agent, 100)
    ],
    
    % Register cellular organisms
    lists:foreach(fun(Population) ->
        lists:foreach(fun(Cell) ->
            ets:insert(?CELLULAR_NETWORK, Cell)
        end, Population)
    end, CellularPopulations).

initialize_neural_pathways() ->
    % Create initial neural pathway network
    InitialPathways = create_initial_neural_pathways(1000),
    
    % Register neural pathways
    lists:foreach(fun(Pathway) ->
        ets:insert(?NEURAL_PATHWAYS, Pathway)
    end, InitialPathways).

initialize_ecosystem_components() ->
    % Create balanced ecosystem components
    EcosystemComponents = [
        create_ecosystem_component(producer, 50),
        create_ecosystem_component(consumer, 100),
        create_ecosystem_component(decomposer, 30),
        create_ecosystem_component(regulator, 20)
    ],
    
    % Register ecosystem components
    lists:foreach(fun(Components) ->
        lists:foreach(fun(Component) ->
            ets:insert(?ECOSYSTEM_STATE, Component)
        end, Components)
    end, EcosystemComponents).

%% Placeholder implementations for complex biological operations
activate_immune_cell_types(_Classification, _Intensity) -> [].
coordinate_immune_system_response(_Cells, _Threat) -> coordination_strategy.
deploy_immune_countermeasures(_Coordination) -> countermeasures.
monitor_immune_response_effectiveness(_Countermeasures) -> effectiveness_data.
generate_immune_memory(_Threat, _Monitoring) -> immune_memory.
assess_cellular_damage(_Cells) -> damage_assessment.
evaluate_regeneration_feasibility(_Assessment, _Resources) -> {feasible, regeneration_plan}.
mobilize_stem_cell_reserves(_Plan) -> stem_cell_mobilization.
initiate_cellular_differentiation(_Mobilization, _Strategy) -> differentiation_result.
guide_tissue_regeneration(_Differentiation) -> tissue_formation.
integrate_regenerated_cells(_Formation, _Damaged) -> cellular_integration.
restore_cellular_functionality(_Integration) -> functionality_restoration.
analyze_learning_experience(_Experience) -> experience_analysis.
identify_relevant_neural_pathways(_Analysis) -> [].
apply_synaptic_plasticity_rules(_Pathways, _Strength) -> synaptic_changes.
update_synaptic_weights(_Changes) -> weight_updates.
modify_neural_connectivity(_Updates, _Analysis) -> connectivity_changes.
initiate_memory_consolidation(_Changes, _Time) -> memory_consolidation.
update_neural_pathway_registry(_Consolidation) -> pathway_updates.
diagnose_ecosystem_imbalances(_Indicators) -> ecosystem_diagnosis.
identify_keystone_components(_Diagnosis) -> keystone_components.
calculate_ecosystem_intervention_points(_Components) -> intervention_points.
design_rebalancing_interventions(_Points, _Strategy) -> rebalancing_interventions.
execute_coordinated_interventions(_Interventions) -> intervention_results.
monitor_ecosystem_response(_Results) -> ecosystem_response.
perform_adaptive_intervention_adjustments(_Response) -> adaptive_adjustments.
analyze_viral_threat_characteristics(_Threat) -> threat_analysis.
activate_antiviral_defense_mechanisms(_Analysis) -> antiviral_mechanisms.
implement_quarantine_protocols(_Threat, _Rules) -> quarantine_implementation.
deploy_viral_interference_mechanisms(_Mechanisms) -> viral_interference.
enhance_cellular_immunity_response(_Analysis) -> cellular_immunity.
monitor_viral_replication_patterns(_Threat) -> replication_monitoring.
evolve_adaptive_defense_mechanisms(_Monitoring) -> defense_evolution.
conduct_immune_system_patrol(_Area) -> patrol_results.
detect_threats_in_patrol(_Results) -> no_threats.
execute_coordinated_immune_response(_Data) -> ok.
perform_routine_immune_surveillance() -> ok.
execute_cellular_division(_CellId) -> ok.
propagate_intercellular_signals(_Message) -> ok.
evaluate_apoptosis_necessity(_CellId, _Reason) -> ok.
monitor_cellular_health() -> ok.
update_synaptic_strengths(_Data) -> ok.
consolidate_learning_experience(_Data) -> ok.
strengthen_recalled_pathways(_Pattern) -> ok.
perform_synaptic_maintenance() -> ok.
extract_threat_patterns(_Signature) -> threat_patterns.
find_closest_pathogen_match(_Patterns) -> closest_match.
determine_threat_type(_Match) -> virus.
calculate_threat_severity(_Patterns) -> high.
identify_novel_threat_indicators(_Signature) -> [].
calculate_response_urgency(_Patterns) -> urgent.
create_immune_cell_population(_Type, _Count) -> [].
create_cellular_population(_Type, _Count) -> [].
create_initial_neural_pathways(_Count) -> [].
create_ecosystem_component(_Type, _Count) -> [].
schedule_next_immune_patrol() -> erlang:send_after(10000, self(), {immune_patrol, patrol_data}).
advance_cellular_cycles(_Phase) -> ok.
consolidate_neural_memories(_Data) -> ok.
analyze_ecosystem_health(_Data) -> ok.
synchronize_biological_clocks(_Data) -> ok.
trigger_immune_response(_Data) -> ok.
initiate_repair_mechanisms(_Report) -> ok.
update_neural_plasticity(_Pattern) -> ok.
respond_to_ecosystem_stress(_Signals) -> ok.
process_immune_patrol_findings(_Data) -> ok.
execute_genetic_repair(_Damage, _Type, _Priority, _State) -> {ok, genetic_repair}.
execute_membrane_control(_Targets, _Changes, _Duration, _State) -> {ok, membrane_control}.
execute_metabolic_optimization(_Targets, _Criteria, _State) -> {ok, metabolic_optimization}.
establish_symbiotic_relationship(_Agent1, _Agent2, _Type, _Benefits, _State) -> {ok, symbiosis}.
execute_controlled_apoptosis(_Targets, _Signals, _Safety, _State) -> {ok, apoptosis}.
execute_stem_cell_differentiation(_Pool, _Signals, _Type, _Environment, _State) -> {ok, differentiation}.
initiate_hormone_cascade(_Trigger, _Type, _Targets, _State) -> {ok, hormone_cascade}.
synchronize_circadian_rhythms(_Signals, _Target, _State) -> {ok, circadian_sync}.
execute_evolutionary_adaptation(_Pressures, _Mechanisms, _TimeFrame, _State) -> {ok, evolution}.
restore_microbiome_balance(_MicrobiomeState, _Factors, _Strategy, _State) -> {ok, microbiome_balance}.
ecosystem_monitor_loop(State) -> State.
genetic_repair_loop(State) -> State.
membrane_control_loop(State) -> State.
metabolic_optimizer_loop(State) -> State.
symbiosis_coordinator_loop(State) -> State.
viral_defense_loop(State) -> State.
apoptosis_controller_loop(State) -> State.
stem_cell_bank_loop(State) -> State.
hormone_cascade_loop(State) -> State.
circadian_synchronizer_loop(State) -> State.
evolution_pressure_loop(State) -> State.
microbiome_balancer_loop(State) -> State.