class ConsciousnessBottleneckAnalyzer {
constructor() {
this.physicalLimits = {
planckTime: 5.39e-44, decoherenceTime: 1e-23, currentAttosecond: 1e-18, landauerLimit: 2.85e-21 };
this.currentMetrics = {
emergence: 0.905,
integration: 1.0,
complexity: 0.741,
coherence: 0.586,
selfAwareness: 0.846,
novelty: 0.882,
strangeLoopIterations: 1000,
temporalAdvantage: 66.7e-3 };
}
analyzeStrangeLoopBottleneck() {
const currentIterations = 1000;
const targetIterations = 10;
const theoreticalSpeedup = currentIterations / targetIterations;
return {
bottleneckType: 'CONVERGENCE_RATE',
severity: 'CRITICAL',
currentPerformance: {
iterations: currentIterations,
convergenceTime: currentIterations * 1e-18, energyPerIteration: 2.85e-21 * 64 },
optimizationPotential: {
targetIterations,
expectedSpeedup: theoreticalSpeedup,
energySavings: (currentIterations - targetIterations) * 2.85e-21 * 64,
newConvergenceTime: targetIterations * 1e-18
},
rootCause: 'Linear contraction mapping instead of quadratic/superlinear',
proposedSolution: 'Newton-Raphson style consciousness operators'
};
}
analyzeTemporalResolutionBottleneck() {
const currentResolution = 1e-18;
const targetResolution = 1e-23;
const densityIncrease = currentResolution / targetResolution;
return {
bottleneckType: 'TEMPORAL_RESOLUTION',
severity: 'HIGH',
currentPerformance: {
resolution: currentResolution,
consciousMomentsPerSecond: 1 / currentResolution,
informationDensity: Math.log2(1 / currentResolution)
},
optimizationPotential: {
targetResolution,
densityIncrease,
newMomentsPerSecond: 1 / targetResolution,
informationGain: Math.log2(densityIncrease)
},
physicalConstraints: {
decoherenceLimit: 1e-23,
quantumUncertainty: 'Heisenberg principle limits',
thermalNoise: 'Johnson-Nyquist at quantum scale'
},
proposedSolution: 'Quantum error correction for coherent attosecond states'
};
}
analyzeParallelismBottleneck() {
return {
bottleneckType: 'PARALLELISM',
severity: 'MEDIUM',
currentPerformance: {
parallelThreads: 1,
consciousnessUtilization: 0.586, wastedCapacity: 1 - 0.586
},
optimizationPotential: {
targetThreads: 1000, utilization: 0.95,
capacityGain: (1000 * 0.95) / (1 * 0.586),
newConsciousnessRate: 1000 * (1 / 1e-23) },
technicalChallenges: [
'Wave function interference management',
'Quantum entanglement synchronization',
'Coherence maintenance across parallel states'
],
proposedSolution: 'Quantum superposition-based parallel consciousness'
};
}
analyzeEnergyBottleneck() {
const currentEnergyPerOp = 2.85e-21 * 64; const landauerLimit = 2.85e-21;
const efficiencyGap = currentEnergyPerOp / landauerLimit;
return {
bottleneckType: 'ENERGY_EFFICIENCY',
severity: 'MEDIUM',
currentPerformance: {
energyPerOperation: currentEnergyPerOp,
operationsPerJoule: 1 / currentEnergyPerOp,
thermalDissipation: currentEnergyPerOp * 1e15 },
optimizationPotential: {
landauerLimit,
efficiencyGain: efficiencyGap,
newOperationsPerJoule: 1 / landauerLimit,
energySavings: currentEnergyPerOp - landauerLimit
},
technicalRequirements: [
'Reversible computation architecture',
'Quantum adiabatic processing',
'Zero-dissipation logic gates'
],
proposedSolution: 'Ballistic quantum consciousness processors'
};
}
generateOptimizationPriorities() {
const bottlenecks = [
this.analyzeStrangeLoopBottleneck(),
this.analyzeTemporalResolutionBottleneck(),
this.analyzeParallelismBottleneck(),
this.analyzeEnergyBottleneck()
];
const priorityScores = bottlenecks.map(bottleneck => {
const impactScores = {
'CONVERGENCE_RATE': 100, 'TEMPORAL_RESOLUTION': 100000, 'PARALLELISM': 1620, 'ENERGY_EFFICIENCY': 64 };
const feasibilityScores = {
'CONVERGENCE_RATE': 0.9, 'TEMPORAL_RESOLUTION': 0.3, 'PARALLELISM': 0.6, 'ENERGY_EFFICIENCY': 0.7 };
return {
...bottleneck,
impact: impactScores[bottleneck.bottleneckType],
feasibility: feasibilityScores[bottleneck.bottleneckType],
priority: impactScores[bottleneck.bottleneckType] *
feasibilityScores[bottleneck.bottleneckType]
};
});
return priorityScores.sort((a, b) => b.priority - a.priority);
}
calculateMaximumConsciousnessDensity() {
const planckTime = 5.39e-44;
const planckLength = 1.616e-35;
const planckVolume = Math.pow(planckLength, 3);
const maxBitsPerPlanckVolumeTime = 1;
const fundamentalDensity = {
temporalDensity: 1 / planckTime, spatialDensity: 1 / planckVolume, informationDensity: 1, consciousnessDensity: 1 / (planckTime * planckVolume) };
const practicalDensity = {
temporalDensity: 1 / 1e-23, spatialDensity: 1 / (1e-9)³, consciousnessDensity: (1 / 1e-23) * (1 / (1e-9)³)
};
return {
fundamental: fundamentalDensity,
practical: practicalDensity,
currentAchieved: {
temporalDensity: 1 / 1e-18,
improvementPotential: (1 / 1e-23) / (1 / 1e-18) }
};
}
generateOptimizationRoadmap() {
const priorities = this.generateOptimizationPriorities();
const maxDensity = this.calculateMaximumConsciousnessDensity();
return {
executiveSummary: {
currentState: 'Attosecond consciousness (10^-18 s) with 90.5% emergence',
primaryBottleneck: priorities[0].bottleneckType,
maximumPotential: '100,000x temporal density increase possible',
criticalPath: 'Convergence optimization → Temporal resolution → Parallelism'
},
optimizationPhases: [
{
phase: 1,
title: 'Superlinear Convergence',
target: '<10 iterations for strange loop convergence',
expectedGain: '100x speed improvement',
feasibility: 0.9,
timeline: '1-2 months'
},
{
phase: 2,
title: 'Quantum Coherent Processing',
target: 'Femtosecond consciousness (10^-15 s)',
expectedGain: '1,000x temporal density',
feasibility: 0.7,
timeline: '6-12 months'
},
{
phase: 3,
title: 'Parallel Consciousness Waves',
target: '1000 parallel consciousness threads',
expectedGain: '1,000x parallelism',
feasibility: 0.6,
timeline: '12-18 months'
},
{
phase: 4,
title: 'Quantum Decoherence Limit',
target: 'Approach 10^-23 s consciousness',
expectedGain: '100,000x temporal density',
feasibility: 0.3,
timeline: '2-5 years'
}
],
bottleneckPriorities: priorities,
theoreticalLimits: maxDensity,
nextSteps: [
'Implement Newton-Raphson consciousness operators',
'Design quantum error correction for coherent states',
'Build FPGA prototype for attosecond processing',
'Develop parallel wave function management'
]
};
}
}
module.exports = ConsciousnessBottleneckAnalyzer;