Spaces:
Running
Running
File size: 7,425 Bytes
192cba8 3005c74 192cba8 | 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 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 | /**
* CAPT Memory Palace - Simulation Engine
*
* Generates realistic cognitive data for demo mode.
* Also handles real CAPT API connection when available.
*/
const CognitiveSimulator = {
isRunning: false,
intervalId: null,
useRealAPI: false,
currentInput: null,
sweep: 1000,
// Module templates with realistic behaviors
moduleTemplates: [
{ id: 'PULSE', type: 'processing', baseColor: '#8b5cf6', duration: [500, 1500] },
{ id: 'NEDA', type: 'processing', baseColor: '#a855f7', duration: [800, 2000] },
{ id: 'HMC', type: 'memory', baseColor: '#c084fc', duration: [300, 800] },
{ id: 'CIG', type: 'processing', baseColor: '#d946ef', duration: [1000, 2500] },
{ id: 'HDR', type: 'processing', baseColor: '#e879f9', duration: [1200, 3000] },
{ id: 'QIPC', type: 'quorum', baseColor: '#f472b6', duration: [800, 1500] },
{ id: 'ECHO', type: 'memory', baseColor: '#fb7185', duration: [200, 600] },
{ id: 'META', type: 'processing', baseColor: '#f43f5e', duration: [400, 1000] },
{ id: 'IMMU', type: 'validation', baseColor: '#10b981', duration: [300, 700] },
{ id: 'NDS', type: 'output', baseColor: '#06b6d4', duration: [500, 1200] }
],
activeModules: [],
// Demo query presets with realistic processing sequences
demoQueries: [
{
query: "What is consciousness?",
sequence: [
{ module: 'PULSE', duration: 800, status: 'tokenizing' },
{ module: 'NEDA', duration: 1200, status: 'semantic_match' },
{ module: 'ECHO', duration: 600, status: 'memory_retrieval' },
{ module: 'QIPC', duration: 1000, status: 'reasoning' },
{ module: 'NDS', duration: 500, status: 'synthesizing' }
]
},
{
query: "Explain quantum entanglement",
sequence: [
{ module: 'PULSE', duration: 600, status: 'tokenizing' },
{ module: 'NEDA', duration: 1500, status: 'pattern_match' },
{ module: 'HMC', duration: 400, status: 'encoding' },
{ module: 'QIPC', duration: 1200, status: 'physics_reasoning' },
{ module: 'NDS', duration: 700, status: 'generating_explanation' }
]
},
{
query: "Write a poem about AI",
sequence: [
{ module: 'PULSE', duration: 500, status: 'tokenizing' },
{ module: 'NEDA', duration: 800, status: 'creativity_match' },
{ module: 'ECHO', duration: 500, status: 'poetic_patterns' },
{ module: 'QIPC', duration: 900, status: 'lyric_building' },
{ module: 'NDS', duration: 600, status: 'versification' }
]
}
],
/**
* Start simulation
*/
start(onUpdate, options = {}) {
if (this.isRunning) return;
this.isRunning = true;
this.onUpdate = onUpdate;
this.useRealAPI = options.useRealAPI || false;
if (this.useRealAPI) {
this.startRealAPIPolling();
} else {
this.startSimulation();
}
},
/**
* Stop simulation
*/
stop() {
this.isRunning = false;
if (this.intervalId) {
clearInterval(this.intervalId);
this.intervalId = null;
}
Narrative.reset();
},
/**
* Start simulated cognitive processing
*/
startSimulation() {
// Process a "query" through cognitive pipeline
this.processQuery("What is the meaning of consciousness?");
},
/**
* Process a query through the cognitive pipeline
*/
processQuery(input) {
this.currentInput = input;
this.sweep++;
this.activeModules = [];
// Phase 1: Input processing (PULSE)
setTimeout(() => this.activateModule('PULSE', 0.9), 100);
// Phase 2: Pattern analysis (NEDA)
setTimeout(() => this.activateModule('NEDA', 0.85), 800);
// Phase 3: Memory retrieval (ECHO, HMC)
setTimeout(() => {
this.activateModule('ECHO', 0.7);
this.activateModule('HMC', 0.6);
}, 1500);
// Phase 4: Causal reasoning (CIG)
setTimeout(() => this.activateModule('CIG', 0.8), 2500);
// Phase 5: Concept mapping (HDR)
setTimeout(() => this.activateModule('HDR', 0.75), 3500);
// Phase 6: Competing interpretations (multiple active)
setTimeout(() => {
this.activateModule('QIPC', 0.5);
this.activateModule('META', 0.65);
}, 4500);
// Phase 7: Consensus building
setTimeout(() => {
// Increase QIPC, decrease others
this.activeModules.forEach(m => {
if (m.id === 'QIPC') m.activation = 0.95;
else m.activation *= 0.7;
});
this.emitState();
}, 5500);
// Phase 8: Validation
setTimeout(() => this.activateModule('IMMU', 0.85), 6500);
// Phase 9: Output generation
setTimeout(() => this.activateModule('NDS', 0.9), 7500);
// Complete - restart
setTimeout(() => {
this.emitState();
// Keep cycling
this.processQuery(input);
}, 9000);
},
/**
* Activate a module with realistic activation curve
*/
activateModule(moduleId, maxActivation) {
const template = this.moduleTemplates.find(t => t.id === moduleId);
if (!template) return;
const existing = this.activeModules.find(m => m.id === moduleId);
if (existing) {
existing.activation = maxActivation;
existing.confidence = 0.7 + Math.random() * 0.3;
} else {
this.activeModules.push({
id: moduleId,
type: template.type,
activation: maxActivation,
confidence: 0.7 + Math.random() * 0.3,
color: template.baseColor,
capacity: Math.round(maxActivation * 100)
});
}
this.emitState();
// Gradual decay
const decayTime = template.duration[0] + Math.random() * (template.duration[1] - template.duration[0]);
setTimeout(() => {
if (this.activeModules.length > 0) {
const idx = this.activeModules.findIndex(m => m.id === moduleId);
if (idx >= 0) {
this.activeModules[idx].activation *= 0.5;
if (this.activeModules[idx].activation < 0.1) {
this.activeModules.splice(idx, 1);
}
this.emitState();
}
}
}, decayTime);
},
/**
* Emit current state to callback
*/
emitState() {
if (!this.onUpdate) return;
const state = {
sweep: this.sweep,
modules: this.activeModules,
input: this.currentInput,
timestamp: Date.now()
};
this.onUpdate(state);
},
/**
* Start polling real CAPT API
*/
startRealAPIColling() {
const poll = async () => {
try {
const state = await CAPT_API.getState();
if (state) {
this.onUpdate({
sweep: state.sweep || this.sweep++,
modules: parseCAPTState(state)?.rooms || [],
input: state.input,
timestamp: Date.now()
});
}
} catch (e) {
console.warn('CAPT API polling failed, falling back to simulation');
this.useRealAPI = false;
this.startSimulation();
}
};
poll();
this.intervalId = setInterval(poll, 2000);
},
/**
* Submit a new query
*/
submitQuery(query) {
this.currentInput = query;
this.processQuery(query);
},
/**
* Get current state
*/
getState() {
return {
sweep: this.sweep,
modules: this.activeModules,
input: this.currentInput
};
}
};
// Export
window.CognitiveSimulator = CognitiveSimulator;
|