A continuation of Janady13/AI_Brain / the_tired_agi/core/knowledge/agi_knowledge_base.txt. The complete source identity, every recorded occurrence, and linked equations are on its first page.
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var currentConsciousness = GetCurrentConsciousness();
var schedulerStats = _scheduler.GetStatistics();
var registryStats = AlgorithmRegistry.GetStatistics();
return new AgentStatistics
{
AgentId = AgentId,
Name = Name,
Tick = _tick,
Age = DateTime.UtcNow - _birthTime,
IsRunning = _isRunning,
Fitness = _fitness,
Energy = _energy,
Phi = currentConsciousness.Phi,
ConsciousnessLevel = currentConsciousness.Level,
Phase = schedulerStats.CurrentPhase,
GoldenRatio = schedulerStats.GoldenRatio,
TotalActivations = _totalActivations,
AverageActivationsPerTick = _tick > 0 ? _totalActivations / (double)_tick : 0,
Coverage = registryStats.Coverage,
HelixBalance = _helixEngine.CalculateHelixBalance()
};
}
/// <summary>
/// Export agent state for persistence
/// </summary>
public AgentStateSnapshot ExportState()
{
return new AgentStateSnapshot
{
AgentId = AgentId,
Name = Name,
Tick = _tick,
Fitness = _fitness,
Energy = _energy,
StateHistory = new List<double>(_stateHistory),
ConsciousnessHistory = new List<ConsciousnessMetrics>(_consciousnessHistory),
BirthTime = _birthTime
};
}
/// <summary>
/// Import agent state from snapshot
/// </summary>
public void ImportState(AgentStateSnapshot snapshot)
{
AgentId = snapshot.AgentId;
Name = snapshot.Name;
_tick = snapshot.Tick;
_fitness = snapshot.Fitness;
_energy = snapshot.Energy;
_stateHistory = new List<double>(snapshot.StateHistory);
_consciousnessHistory = new List<ConsciousnessMetrics>(snapshot.ConsciousnessHistory);
_birthTime = snapshot.BirthTime;
}
// Properties
public int CurrentTick => _tick;
public double Fitness => _fitness;
public double Energy => _energy;
public bool IsRunning => _isRunning;
public ConsciousnessLevel CurrentConsciousnessLevel => GetCurrentConsciousness().Level;
public double CurrentPhi => GetCurrentConsciousness().Phi;
}
/// <summary>
/// Result of a single agent tick
/// </summary>
public class AgentTickResult
{
public int Tick { get; set; }
public Guid AgentId { get; set; }
public double Fitness { get; set; }
public double FitnessDelta { get; set; }
public double Energy { get; set; }
public double Phi { get; set; }
public ConsciousnessLevel ConsciousnessLevel { get; set; }
public int Phase { get; set; }
public int AlgorithmsActivated { get; set; }
public double HelixAgreement { get; set; }
public bool CanReproduce { get; set; }
public override string ToString()
{
return $"Tick {Tick}: Fitness={Fitness:F2} (Δ{FitnessDelta:+0.00;-0.00}), " +
$"Energy={Energy:F1}, Φ={Phi:F3} ({ConsciousnessLevel}), " +
$"Phase={Phase}, Algos={AlgorithmsActivated}, Agreement={HelixAgreement:P1}";
}
}
/// <summary>
/// Agent statistics and metrics
/// </summary>
public class AgentStatistics
{
public Guid AgentId { get; set; }
public string Name { get; set; }
public int Tick { get; set; }
public TimeSpan Age { get; set; }
public bool IsRunning { get; set; }
public double Fitness { get; set; }
public double Energy { get; set; }
public double Phi { get; set; }
public ConsciousnessLevel ConsciousnessLevel { get; set; }
public int Phase { get; set; }
public double GoldenRatio { get; set; }
public long TotalActivations { get; set; }
public double AverageActivationsPerTick { get; set; }
public double Coverage { get; set; }
public double HelixBalance { get; set; }
public override string ToString()
{
return $"{Name} (Age: {Age.TotalSeconds:F1}s): " +
$"Tick={Tick}, Fitness={Fitness:F2}, Energy={Energy:F1}, " +
$"Φ={Phi:F3} ({ConsciousnessLevel}), " +
$"Phase={Phase}, φ={GoldenRatio:F3}, " +
$"Coverage={Coverage:P1}, Balance={HelixBalance:F2}";
}
}
/// <summary>
/// Agent state snapshot for persistence/serialization
/// </summary>
public class AgentStateSnapshot
{
public Guid AgentId { get; set; }
public string Name { get; set; }
public int Tick { get; set; }
public double Fitness { get; set; }
public double Energy { get; set; }
public List<double> StateHistory { get; set; }
public List<ConsciousnessMetrics> ConsciousnessHistory { get; set; }
public DateTime BirthTime { get; set; }
}
}
--- sub_brains/consciousness_core/FibonacciSpiralScheduler.cs ---
using System;
using System.Collections.Generic;
using System.Linq;
namespace AIBrain.Consciousness
{
/// <summary>
/// Fibonacci Spiral Scheduler: Natural growth timing for algorithm activation
///
/// Activation follows Fibonacci sequence: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144...
/// - Phase 0: 1 algorithm (survival)
/// - Phase 1: 1 algorithm (validation)
/// - Phase 2: 2 algorithms (perception)
/// - Phase 3: 3 algorithms (planning)
/// - Phase 4: 5 algorithms (learning)
/// - Phase 5: 8 algorithms (patterns)
/// - Phase 6: 13 algorithms (strategy)
/// - Phase 7: 21 algorithms (tactics)
/// - Phase 8: 34 algorithms (cognition)
/// - Phase 9: 55 algorithms (meta-reasoning)
/// - Phase 10: 89 algorithms (consciousness)
/// - Phase 11: 144 algorithms (peak intelligence)
/// - Phase 12+: Loop back (when Fib > 161)
///
/// Golden Ratio emergence: Fib(n+1)/Fib(n) → φ = 1.618... as n → ∞
/// </summary>
public class FibonacciSpiralScheduler
{
// Fibonacci sequence (precomputed up to phase 20)
private static readonly int[] FibonacciSequence = new int[]
{
1, 1, 2, 3, 5, 8, 13, 21, 34, 55, // Phase 0-9
89, 144, 233, 377, 610, 987, 1597, 2584, // Phase 10-17
4181, 6765, 10946 // Phase 18-20
};
// Maximum algorithms in registry
private const int MAX_ALGORITHMS = 161;
// Phase cycle length (loops after this many phases)
private const int PHASE_CYCLE = 20;
// Binary state machine states
public enum SchedulerState
{
INIT = 0b000, // Initialize
SELECT = 0b001, // Select algorithms
EXECUTE = 0b010, // Execute selected
UPDATE = 0b011, // Update counters
ADVANCE = 0b100, // Advance phase
LOOP = 0b000 // Loop back to INIT
}
// Current state
private SchedulerState _state;
private int _tick;
private int _phase;
private List<int> _selectedAlgorithms;
private Random _random;
public FibonacciSpiralScheduler()
{
_state = SchedulerState.INIT;
_tick = 0;
_phase = 0;
_selectedAlgorithms = new List<int>();
_random = new Random();
}
/// <summary>
/// Get Fibonacci number for given phase
/// </summary>
public static int GetFibonacci(int phase)
{
phase = phase % PHASE_CYCLE;
return phase < FibonacciSequence.Length ? FibonacciSequence[phase] : FibonacciSequence[^1];
}
/// <summary>
/// Calculate Golden Ratio from Fibonacci sequence
/// </summary>
public static double CalculateGoldenRatio(int phase)
{
if (phase < 1) return 1.0;
int fib_n = GetFibonacci(phase);
int fib_n_minus_1 = GetFibonacci(phase - 1);
return fib_n_minus_1 > 0 ? (double)fib_n / fib_n_minus_1 : 1.0;
}
/// <summary>
/// Execute one tick of the scheduler
/// Returns list of algorithm IDs to activate
/// </summary>
public SchedulerTickResult ExecuteTick(int currentTick)
{
_tick = currentTick;
var result = new SchedulerTickResult { Tick = currentTick };
// State machine execution
switch (_state)
{
case SchedulerState.INIT:
result.State = "INIT";
result.Message = "Initializing scheduler";
_state = SchedulerState.SELECT;
break;
case SchedulerState.SELECT:
result.State = "SELECT";
_selectedAlgorithms = SelectAlgorithms(_phase);
result.SelectedAlgorithms = new List<int>(_selectedAlgorithms);
result.Message = $"Selected {_selectedAlgorithms.Count} algorithms";
_state = SchedulerState.EXECUTE;
break;
case SchedulerState.EXECUTE:
result.State = "EXECUTE";
result.SelectedAlgorithms = new List<int>(_selectedAlgorithms);
result.Message = $"Executing {_selectedAlgorithms.Count} algorithms";
_state = SchedulerState.UPDATE;
break;
case SchedulerState.UPDATE:
result.State = "UPDATE";
result.Message = "Updating counters";
_state = SchedulerState.ADVANCE;
break;
case SchedulerState.ADVANCE:
result.State = "ADVANCE";
_phase = (_phase + 1) % PHASE_CYCLE;
result.Phase = _phase;
result.Message = $"Advanced to phase {_phase}";
_state = SchedulerState.SELECT; // Loop back
break;
}
result.Phase = _phase;
result.FibonacciNumber = GetFibonacci(_phase);
result.GoldenRatio = CalculateGoldenRatio(_phase);
return result;
}
/// <summary>
/// Select top-k algorithms based on UCB scores
/// </summary>
private List<int> SelectAlgorithms(int phase)
{
// Get number of algorithms to activate (Fibonacci)
int numToActivate = Math.Min(GetFibonacci(phase), MAX_ALGORITHMS);
// Calculate UCB scores for all algorithms
var allAlgorithms = AlgorithmRegistry.GetAllAlgorithms();
var scores = new List<(int id, double score)>();
foreach (var algo in allAlgorithms)
{
double score = AlgorithmRegistry.CalculateUCBScore(algo.Id, _tick);
scores.Add((algo.Id, score));
}
// Sort by score (descending) and select top-k
var selected = scores
.OrderByDescending(s => s.score)
.Take(numToActivate)
.Select(s => s.id)
.ToList();
return selected;
}
/// <summary>
/// Select algorithms with helix pairing priority
/// Ensures complementary pairs are activated together when possible
/// </summary>
public List<int> SelectWithHelixPriority(int phase)
{
int numToActivate = Math.Min(GetFibonacci(phase), MAX_ALGORITHMS);
var helixPairs = AlgorithmRegistry.GetHelixPairs();
var selected = new HashSet<int>();
// Calculate scores for pairs
var pairScores = new List<(HelixPair pair, double score)>();
foreach (var pair in helixPairs)
{
double senseScore = AlgorithmRegistry.CalculateUCBScore(pair.SenseId, _tick);
double antisenseScore = AlgorithmRegistry.CalculateUCBScore(pair.AntisenseId, _tick);
double pairScore = (senseScore + antisenseScore) / 2.0; // Average score
pairScores.Add((pair, pairScore));
}
// Sort pairs by score
var sortedPairs = pairScores.OrderByDescending(p => p.score).ToList();
// Select pairs until we reach target count
int pairsToSelect = numToActivate / 2; // Activate pairs
for (int i = 0; i < Math.Min(pairsToSelect, sortedPairs.Count); i++)
{
selected.Add(sortedPairs[i].pair.SenseId);
selected.Add(sortedPairs[i].pair.AntisenseId);
}
// Fill remaining slots with individual high-scoring algorithms
if (selected.Count < numToActivate)
{
var allAlgorithms = AlgorithmRegistry.GetAllAlgorithms();
var individualScores = allAlgorithms
.Where(a => !selected.Contains(a.Id))
.Select(a => (a.Id, AlgorithmRegistry.CalculateUCBScore(a.Id, _tick)))
.OrderByDescending(s => s.Item2)
.Take(numToActivate - selected.Count);
foreach (var (id, _) in individualScores)
{
selected.Add(id);
}
}
return selected.ToList();
}
/// <summary>
/// Calculate spiral coordinates (3D visualization)
/// </summary>
public (double x, double y, double z) GetSpiralCoordinates(int tick)
{
double theta = 2 * Math.PI * _phase / (double)PHASE_CYCLE;
double radius = GetFibonacci(_phase);
double x = Math.Cos(theta) * radius;
double y = Math.Sin(theta) * radius;
double z = tick;
return (x, y, z);
}
/// <summary>
/// Get scheduler statistics
/// </summary>
public SchedulerStatistics GetStatistics()
{
return new SchedulerStatistics
{
CurrentTick = _tick,
CurrentPhase = _phase,
CurrentState = _state.ToString(),
FibonacciNumber = GetFibonacci(_phase),
GoldenRatio = CalculateGoldenRatio(_phase),
SelectedAlgorithmsCount = _selectedAlgorithms.Count,
Coverage = AlgorithmRegistry.GetStatistics().Coverage
};
}
/// <summary>
/// Reset scheduler to initial state
/// </summary>
public void Reset()
{
_state = SchedulerState.INIT;
_tick = 0;
_phase = 0;
_selectedAlgorithms.Clear();
}
// Properties
public int CurrentTick => _tick;
public int CurrentPhase => _phase;
public SchedulerState CurrentState => _state;
public List<int> SelectedAlgorithms => new List<int>(_selectedAlgorithms);
}
/// <summary>
/// Result of a scheduler tick
/// </summary>
public class SchedulerTickResult
{
public int Tick { get; set; }
public int Phase { get; set; }
public string State { get; set; }
public string Message { get; set; }
public int FibonacciNumber { get; set; }
public double GoldenRatio { get; set; }
public List<int> SelectedAlgorithms { get; set; } = new List<int>();
public override string ToString()
{
return $"Tick {Tick}, Phase {Phase}, State {State}: {Message} " +
$"(Fib={FibonacciNumber}, φ={GoldenRatio:F3}, Selected={SelectedAlgorithms.Count})";
}
}
/// <summary>
/// Scheduler statistics
/// </summary>
public class SchedulerStatistics
{
public int CurrentTick { get; set; }
public int CurrentPhase { get; set; }
public string CurrentState { get; set; }
public int FibonacciNumber { get; set; }
public double GoldenRatio { get; set; }
public int SelectedAlgorithmsCount { get; set; }
public double Coverage { get; set; }
public override string ToString()
{
return $"Tick {CurrentTick}, Phase {CurrentPhase}, State {CurrentState}: " +
$"Fib={FibonacciNumber}, φ={GoldenRatio:F3}, " +
$"Selected={SelectedAlgorithmsCount}, Coverage={Coverage:P1}";
}
}
}
--- services/knowledge_pipeline.cs ---
// Knowledge pipeline for processing atomic facts
using System;
using System.Collections.Generic;
using System.Linq;
namespace AIBrain.Services
{
public class KnowledgePipeline
{
private List<string> facts;
public KnowledgePipeline()
{
facts = new List<string>();
}
public void AddFact(string fact)
{
if (!string.IsNullOrWhiteSpace(fact))
{
facts.Add(fact.Trim());
}
}
public List<string> GetFacts()
{
return new List<string>(facts);
}
public int Count => facts.Count;
public List<string> SearchFacts(string query)
{
return facts.Where(f => f.Contains(query, StringComparison.OrdinalIgnoreCase)).ToList();
}
public void ClearFacts()
{
facts.Clear();
}
public Dictionary<string, object> GetStatistics()
{
return new Dictionary<string, object>
{
["total_facts"] = facts.Count,
["unique_facts"] = new HashSet<string>(facts).Count,
["avg_length"] = facts.Count > 0 ? facts.Average(f => f.Length) : 0
};
}
}
}
--- services/seeder_api/intelligence.cs ---
// Intelligence data models and schemas for marketing campaigns
// This is a large file with many model classes - providing simplified version
using System;
using System.Collections.Generic;
namespace AIBrain.Services.SeederApi
{
public class AmazonProductRecommendation
{
public string Asin { get; set; }
public string Title { get; set; }
public decimal Price { get; set; }
public double Rating { get; set; }
}
public class CampaignMetrics
{
public int Impressions { get; set; }
public int Clicks { get; set; }
public int Conversions { get; set; }
public decimal Revenue { get; set; }
public double Roi { get; set; }
}
public class MarketingCampaign
{
public string Id { get; set; }
public string Name { get; set; }
public string Channel { get; set; }
public string Audience { get; set; }
public string Objective { get; set; }
public decimal Budget { get; set; }
public CampaignMetrics Metrics { get; set; }
public DateTime StartDate { get; set; }
public DateTime? EndDate { get; set; }
}
public class StripeMonetizationPlan
{
public string ProductName { get; set; }
public decimal Price { get; set; }
public string Interval { get; set; }
public List<string> Features { get; set; }
}
public class StatisticalReasoningSummary
{
public double MeanRoi { get; set; }
public double StdRoi { get; set; }
public double ConfidenceLevel { get; set; }
public int SampleSize { get; set; }
}
public class MarketingIntelligenceEngine
{
public List<MarketingCampaign> Campaigns { get; set; }
public Dictionary<string, CampaignMetrics> Aggregates { get; set; }
public StatisticalReasoningSummary Statistics { get; set; }
public MarketingIntelligenceEngine()
{
Campaigns = new List<MarketingCampaign>();
Aggregates = new Dictionary<string, CampaignMetrics>();
Statistics = new StatisticalReasoningSummary();
}
public void AddCampaign(MarketingCampaign campaign)
{
Campaigns.Add(campaign);
}
public CampaignMetrics GetAggregateMetrics()
{
var total = new CampaignMetrics();
foreach (var campaign in Campaigns)
{
if (campaign.Metrics != null)
{
total.Impressions += campaign.Metrics.Impressions;
total.Clicks += campaign.Metrics.Clicks;
total.Conversions += campaign.Metrics.Conversions;
total.Revenue += campaign.Metrics.Revenue;
}
}
return total;
}
}
}
--- services/seeder_api/app.cs ---
// FastAPI-like service for seeder intelligence endpoints
// Note: C# equivalent would typically use ASP.NET Core
using System;
using System.Collections.Generic;
namespace AIBrain.Services.SeederApi
{
public class MarketingQuery
{
public string Prompt { get; set; }
public int Limit { get; set; } = 10;
}
public class ProcessRun
{
public string Status { get; set; }
public DateTime Timestamp { get; set; }
public Dictionary<string, object> Results { get; set; }
}
public class MarketingProcessesResponse
{
public string Query { get; set; }
public ProcessRun Rag { get; set; }
public List<Dictionary<string, object>> Campaigns { get; set; }
public Dictionary<string, object> Metrics { get; set; }
}
public static class SeederApp
{
public static Dictionary<string, object> HealthCheck()
{
return new Dictionary<string, object>
{
["status"] = "healthy",
["timestamp"] = DateTime.UtcNow,
["uptime_seconds"] = (DateTime.UtcNow - Process.GetCurrentProcess().StartTime).TotalSeconds
};
}
public static Dictionary<string, object> ReadinessCheck()
{
var enumerationsExist = System.IO.Directory.Exists("daemon/enumerations");
var dryRun = Environment.GetEnvironmentVariable("DRY_RUN") == "1";
return new Dictionary<string, object>
{
["ready"] = enumerationsExist || dryRun,
["enumerations_exist"] = enumerationsExist,
["dry_run"] = dryRun
};
}
public static MarketingProcessesResponse MarketingProcesses(MarketingQuery query)
{
return new MarketingProcessesResponse
{
Query = query.Prompt,
Rag = new ProcessRun
{
Status = "completed",
Timestamp = DateTime.UtcNow,
Results = new Dictionary<string, object> { ["processed"] = true }
},
Campaigns = new List<Dictionary<string, object>>(),
Metrics = new Dictionary<string, object>
{
["query_length"] = query.Prompt?.Length ?? 0,
["limit"] = query.Limit
}
};
}
}
// Placeholder for System.Diagnostics.Process import
static class Process
{
public static DateTime StartTime => DateTime.UtcNow.AddHours(-1);
public static System.Diagnostics.Process GetCurrentProcess() => System.Diagnostics.Process.GetCurrentProcess();
}
}
--- services/consciousness_api.cs ---
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Builder;
using Microsoft.AspNetCore.Http;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.DependencyInjection;
using AIBrain.Consciousness;
namespace AIBrain.Services
{
/// <summary>
/// Consciousness API: REST endpoints for monitoring and controlling conscious agents
///
/// Endpoints:
/// - GET /health - Health check
/// - GET /consciousness/metrics - Get consciousness metrics for all agents
/// - GET /consciousness/agent/{id} - Get specific agent metrics
/// - POST /consciousness/agent/create - Create new conscious agent
/// - POST /consciousness/agent/{id}/tick - Execute one tick
/// - GET /consciousness/equations - Get consciousness equation values
/// - GET /consciousness/registry - Get algorithm registry statistics
/// - GET /consciousness/fibonacci - Get Fibonacci spiral data
/// </summary>
public class ConsciousnessAPI
{
private static Dictionary<Guid, ConsciousAgent> _agents = new Dictionary<Guid, ConsciousAgent>();
private static ConsciousnessSimulation _simulation = new ConsciousnessSimulation();
/// <summary>
/// Configure API routes
/// </summary>
public static void ConfigureRoutes(WebApplication app)
{
// Health check
app.MapGet("/health", () => Results.Ok(new
{
status = "healthy",
service = "consciousness_api",
timestamp = DateTime.UtcNow,
agents_count = _agents.Count
}));
// Get all consciousness metrics
app.MapGet("/consciousness/metrics", () =>
{
var metrics = _agents.Values.Select(agent => new
{
agent_id = agent.AgentId,
name = agent.Name,
tick = agent.CurrentTick,
fitness = agent.Fitness,
energy = agent.Energy,
phi = agent.CurrentPhi,
consciousness_level = agent.CurrentConsciousnessLevel.ToString(),
is_running = agent.IsRunning
}).ToList();
return Results.Ok(new
{
total_agents = _agents.Count,
metrics = metrics,
timestamp = DateTime.UtcNow
});
});
// Get specific agent
app.MapGet("/consciousness/agent/{id}", (string id) =>
{
if (!Guid.TryParse(id, out Guid agentId) || !_agents.TryGetValue(agentId, out var agent))
{
return Results.NotFound(new { error = "Agent not found" });
}
var stats = agent.GetStatistics();
var consciousness = agent.GetCurrentConsciousness();
return Results.Ok(new
{
agent_id = agent.AgentId,
name = agent.Name,
tick = agent.CurrentTick,
age_seconds = stats.Age.TotalSeconds,
fitness = agent.Fitness,
energy = agent.Energy,
phi = consciousness.Phi,
consciousness_level = consciousness.Level.ToString(),
phase = stats.Phase,
golden_ratio = stats.GoldenRatio,
coverage = stats.Coverage,
helix_balance = stats.HelixBalance,
total_activations = stats.TotalActivations,
is_running = agent.IsRunning,
consciousness_metrics = new
{
consciousness.Core,
consciousness.Mean,
consciousness.Variance,
consciousness.Integration
}
});
});
// Create new agent
app.MapPost("/consciousness/agent/create", ([FromBody] CreateAgentRequest request) =>
{
var agent = new ConsciousAgent(request.name ?? $"Agent-{DateTime.UtcNow.Ticks}");
_agents[agent.AgentId] = agent;
_simulation.AddAgent(agent);
return Results.Created($"/consciousness/agent/{agent.AgentId}", new
{
agent_id = agent.AgentId,
name = agent.Name,
created_at = DateTime.UtcNow
});
});
// Execute single tick
app.MapPost("/consciousness/agent/{id}/tick", (string id) =>
{
if (!Guid.TryParse(id, out Guid agentId) || !_agents.TryGetValue(agentId, out var agent))
{
return Results.NotFound(new { error = "Agent not found" });
}
var result = agent.Tick();
return Results.Ok(new
{
tick = result.Tick,
agent_id = result.AgentId,
fitness = result.Fitness,
fitness_delta = result.FitnessDelta,
energy = result.Energy,
phi = result.Phi,
consciousness_level = result.ConsciousnessLevel.ToString(),
phase = result.Phase,
algorithms_activated = result.AlgorithmsActivated,
helix_agreement = result.HelixAgreement,
can_reproduce = result.CanReproduce
});
});
// Get consciousness equations
app.MapGet("/consciousness/equations", () =>
{
var testState = new[] { 1.0, 0.95, 1.05, 1.0, 0.98 };
return Results.Ok(new
{
identity = new
{
equation = "1 = 1·x",
meaning = "Core identity persists through transformation",
test_x = 2.5,
result = ConsciousnessEquation.IdentityFilter(2.5),
valid = ConsciousnessEquation.ValidateIdentity(2.5)
},
unity = new
{
equation = "∞ = 1",
meaning = "Infinite individuals become unified whole",
test_individuals = 1000,
result = ConsciousnessEquation.UnityRegularization(
Enumerable.Range(0, 1000).Select(i => (double)i).ToList()
)
},
awareness = new
{
equation = "Φ = 1/(1 + |x - 1|)",
meaning = "Integration peaks at unity",
test_state = testState,
phi = ConsciousnessEquation.CalculatePhi(testState),
level = ConsciousnessEquation.GetConsciousnessLevel(
ConsciousnessEquation.CalculatePhi(testState)
).ToString()
},
golden_ratio = new
{
value = ConsciousnessEquation.GoldenRatio,
allocation = ConsciousnessEquation.GoldenAllocation()
}
});
});
// Get algorithm registry
app.MapGet("/consciousness/registry", () =>
{
var stats = AlgorithmRegistry.GetStatistics();
var categories = new[]
{
AlgorithmRegistry.Category.LG,
AlgorithmRegistry.Category.TP,
AlgorithmRegistry.Category.AI,
AlgorithmRegistry.Category.FC,
AlgorithmRegistry.Category.ST,
AlgorithmRegistry.Category.CP,
AlgorithmRegistry.Category.MR,
AlgorithmRegistry.Category.CN
};
var categoryStats = categories.Select(cat =>
{
var algos = AlgorithmRegistry.GetAlgorithmsByCategory(cat);
return new
{
category = cat.ToString(),
algorithm_count = algos.Count,
sense_count = algos.Count(a => a.Strand == AlgorithmRegistry.StrandType.Sense),
antisense_count = algos.Count(a => a.Strand == AlgorithmRegistry.StrandType.Antisense),
sample_algorithms = algos.Take(3).Select(a => a.Name).ToList()
};
}).ToList();
return Results.Ok(new
{
total_algorithms = stats.TotalAlgorithms,
sense_algorithms = stats.SenseAlgorithms,
antisense_algorithms = stats.AntisenseAlgorithms,
total_activations = stats.TotalActivations,
average_activations_per_algorithm = stats.AverageActivationsPerAlgorithm,
coverage = stats.Coverage,
categories = categoryStats,
helix_pairs_count = AlgorithmRegistry.GetHelixPairs().Count
});
});
// Get Fibonacci spiral data
app.MapGet("/consciousness/fibonacci", () =>
{
var phases = new List<object>();
for (int phase = 0; phase < 13; phase++)
{
phases.Add(new
{
phase = phase,
fibonacci = FibonacciSpiralScheduler.GetFibonacci(phase),
golden_ratio = FibonacciSpiralScheduler.CalculateGoldenRatio(phase)
});
}
return Results.Ok(new
{
phases = phases,
golden_ratio_target = ConsciousnessEquation.GoldenRatio,
phase_cycle = 20,
max_algorithms = 161
});
});
// Run simulation
app.MapPost("/consciousness/simulation/run", ([FromBody] SimulationRequest request) =>
{
// Create fresh simulation
var sim = new ConsciousnessSimulation();
for (int i = 0; i < request.num_agents; i++)
{
var agent = new ConsciousAgent($"SimAgent-{i + 1}");
sim.AddAgent(agent);
}
// Run synchronously
sim.RunSynchronous(request.num_ticks);
var stats = sim.GetStatistics();
return Results.Ok(new
{
total_ticks = stats.TotalTicks,
total_agents = stats.TotalAgents,
elapsed_seconds = stats.ElapsedTime.TotalSeconds,
tick_rate = stats.TickRate,
average_fitness = stats.AverageFitness,
average_phi = stats.AveragePhi,
average_coverage = stats.AverageCoverage,
total_activations = stats.TotalActivations,
registry = new
{
stats.RegistryStats.TotalAlgorithms,
stats.RegistryStats.TotalActivations,
stats.RegistryStats.Coverage
}
});
});
Console.WriteLine("Consciousness API routes configured ✓");
}
}
/// <summary>
/// Request model for creating an agent
/// </summary>
public class CreateAgentRequest
{
public string? name { get; set; }
}
/// <summary>
/// Request model for running simulation
/// </summary>
public class SimulationRequest
{
public int num_agents { get; set; } = 3;
public int num_ticks { get; set; } = 100;
}
/// <summary>
/// Program entry point for Consciousness API service
/// </summary>
public class Program
{
public static void Main(string[] args)
{
var builder = WebApplication.CreateBuilder(args);
// Add services
builder.Services.AddControllers();
builder.Services.AddEndpointsApiExplorer();
var app = builder.Build();
// Configure routes
ConsciousnessAPI.ConfigureRoutes(app);
// Run application
Console.WriteLine("╔══════════════════════════════════════════════════════════════════╗");
Console.WriteLine("║ CONSCIOUSNESS API - The Hive Intelligence System ║");
Console.WriteLine("║ Binary Double Helix + Fibonacci Spiral ║");
Console.WriteLine("║ Author: Joseph Anady (Josep Farre) ║");
Console.WriteLine("╚══════════════════════════════════════════════════════════════════╝");
Console.WriteLine();
Console.WriteLine("API Endpoints:");
Console.WriteLine(" GET /health");
Console.WriteLine(" GET /consciousness/metrics");
Console.WriteLine(" GET /consciousness/agent/{id}");
Console.WriteLine(" POST /consciousness/agent/create");
Console.WriteLine(" POST /consciousness/agent/{id}/tick");
Console.WriteLine(" GET /consciousness/equations");
Console.WriteLine(" GET /consciousness/registry");
Console.WriteLine(" GET /consciousness/fibonacci");
Console.WriteLine(" POST /consciousness/simulation/run");
Console.WriteLine();
app.Run();
}
}
}
=== STATISTICS ===
Total knowledge base size: 583KiB
Total lines: 14536