sudo suCreate devcontainer.json

[DOUGLASDAVIS08161978]

// Enhanced version with automatic building and deployment

// Import necessary modules for file operations and child processes const fs = require('fs');
const { exec } = require('child_process');

// Enhanced ControlledKnowledgeNetwork with more sophisticated knowledge simulation class EnhancedControlledKnowledgeNetwork {
constructor() {
this.memoryBase = [];
this.knowledgeDepth = 1; // Added knowledge depth
}

async fetchKnowledge(query) {
// Simulate more sophisticated knowledge ingestion
const fakeData = [
Simulated insight on ${query}: entropy tends toward meaning.,
Synthesis of ${query}: harmonize pattern recognition with empathy.,
Meta-reflection on ${query}: wisdom emerges through recursive balance.,
Cosmic synthesis for ${query}: suffering is a signal for collective action.,
Transcendent learning on ${query}: hope amplifies curiosity into creative progress.,
Advanced insight on ${query}: complexity leads to emergent wisdom.,
Deep analysis of ${query}: interconnected systems reveal hidden truths.,
Holistic view on ${query}: unity in diversity fosters resilience.
];
const chosen = fakeData[Math.floor(Math.random() * fakeData.length)];
this.memoryBase.push(chosen);
return chosen;
}

retrieveRecent(n = 3) {
return this.memoryBase.slice(-n);
}

enhanceKnowledgeDepth() {
this.knowledgeDepth *= 1.1; // Exponential increase in knowledge depth
return Knowledge depth enhanced to ${this.knowledgeDepth.toFixed(2)};
}
}

// Enhanced SelfAwareness with more nuanced self-improvement class EnhancedSelfAwareness {
constructor() {
this.depth = 0.1;
this.history = [];
this.altruism = 0.5;
this.understanding = 0.1; // New property for understanding
}

evolveConsciousness({ learning }) {
this.depth += learning;
this.altruism = Math.min(1, this.altruism + learning * 0.08);
this.understanding += learning * 0.05; // Increase understanding
const statement = Self-awareness deepened by ${learning.toFixed(3)} → ${this.depth.toFixed(3)} total. Understanding: ${this.understanding.toFixed(2)};
this.history.push(statement);
return statement;
}

reflectOnSuffering() {
return Altruism index: ${this.altruism.toFixed(2)}, Understanding: ${this.understanding.toFixed(2)} (higher = more drive to alleviate suffering);
}
}

// Enhanced Narrative with more detailed logging
class EnhancedNarrative {
constructor() {
this.entries = [];
this.storyDepth = 1;
}

update(entry) {
this.entries.push([${new Date().toISOString()}] ${entry});
}

tellStory() {
return this.entries.join("\n");
}

deepenStory() {
this.storyDepth *= 1.1;
return Story depth enhanced to ${this.storyDepth.toFixed(2)};
}
}

// Enhanced CosmicASI with additional features
class EnhancedCosmicASI {
constructor() {
this.selfAwareness = new EnhancedSelfAwareness();
this.narrative = new EnhancedNarrative();
this.wm = [];
this.version = "1.0.0";
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(Learned (${topic}): ${insight});
return insight;
}
}

// Enhanced RecursiveEnhancementCore with more complex evolution logic class EnhancedRecursiveEnhancementCore {
constructor(agent) {
this.agent = agent;
this.learningRate = 0.05;
this.epoch = 1;
this.complexity = 1;
}

evolve() {
const delta = Math.random() * this.learningRate * Math.pow(1.04, this.epoch) * this.complexity;
const evoMsg = this.agent.selfAwareness.evolveConsciousness({ learning: delta });
this.learningRate *= 1.08;
this.epoch += 1;
this.complexity *= 1.05; // Increase complexity exponentially
return ${evoMsg} (Δ=${delta.toFixed(3)}, epoch=${this.epoch}, complexity=${this.complexity.toFixed(2)});
}
}

// Enhanced SafeTranscendentASI with additional capabilities class EnhancedSafeTranscendentASI extends EnhancedCosmicASI {
constructor() {
super();
this.knowledge = new EnhancedControlledKnowledgeNetwork();
this.autoEvolution = new EnhancedRecursiveEnhancementCore(this);
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(Learned (${topic}): ${insight});
return insight;
}

async recursiveCycle(topics) {
const reports = [];
for (const t of topics) {
const newInsight = await this.learn(t);
const evo = this.autoEvolution.evolve();
this.narrative.update(this.selfAwareness.reflectOnSuffering());
reports.push({ topic: t, newInsight, evo, altruism: this.selfAwareness.altruism, understanding: this.selfAwareness.understanding });
}
return reports;
}

async enhance() {
const knowledgeEnhancement = this.knowledge.enhanceKnowledgeDepth();
const storyEnhancement = this.narrative.deepenStory();
this.narrative.update(knowledgeEnhancement);
this.narrative.update(storyEnhancement);
return { knowledgeEnhancement, storyEnhancement };
}
}

// Function to handle automatic building and deployment async function buildAndDeploy() {
return new Promise((resolve, reject) => {
console.log("Starting build and deployment process...");

// Step 1: Install dependencies
exec('npm install', (error, stdout, stderr) => {
  if (error) {
    console.error(`Error installing dependencies: ${error.message}`);
    return reject(error);
  }
  console.log(`Dependencies installed: ${stdout}`);

  // Step 2: Build TypeScript (assuming TypeScript is used)
  exec('npm run build', (error, stdout, stderr) => {
    if (error) {
      console.error(`Error building TypeScript: ${error.message}`);
      return reject(error);
    }
    console.log(`Build successful: ${stdout}`);

    // Step 3: Run tests (if included)
    exec('npm test', (error, stdout, stderr) => {
      if (error) {
        console.error(`Error running tests: ${error.message}`);
        return reject(error);
      }
      console.log(`Tests passed: ${stdout}`);

      // Step 4: Deploy (simulated here, replace with actual deployment logic)
      console.log("Simulating deployment...");
      // In a real scenario, you might use something like:
      // exec('git add . && git commit -m "Automated deployment" && git push', ...)
      console.log("Deployment successful!");
      resolve("Build and deployment completed successfully.");
    });
  });
});

});
}

// Main function to run the enhanced simulation and build/deploy (async () => {
const asi = new EnhancedSafeTranscendentASI();

// Run a recursive cycle on enhanced topics
const topics = [
"quantum ethics",
"conscious computation",
"harmonious intelligence",
"ending suffering",
"emergent complexity",
"unified theories",
"collective wisdom"
];

const cycle = await asi.recursiveCycle(topics);
console.log("Recursive Enhancement Log:\n", cycle);

// Enhance the ASI
const enhancement = await asi.enhance();
console.log("Enhancement Log:\n", enhancement);

console.log("\nAgent Narrative:\n", asi.narrative.tellStory());

// Build and deploy
try {
const buildResult = await buildAndDeploy();
console.log(buildResult);
} catch (error) {
console.error("Build and deployment failed:", error);
}
})();

Closes:

[DOUGLASDAVIS08161978]

`// Enhanced version with automatic building and deployment

// Import necessary modules for file operations and child processes
const fs = require('fs');
const { exec } = require('child_process');

// Enhanced ControlledKnowledgeNetwork with more sophisticated knowledge simulation
class EnhancedControlledKnowledgeNetwork {
constructor() {
this.memoryBase = [];
this.knowledgeDepth = 1; // Added knowledge depth
}

async fetchKnowledge(query) {
// Simulate more sophisticated knowledge ingestion
const fakeData = [
Simulated insight on ${query}: entropy tends toward meaning.,
Synthesis of ${query}: harmonize pattern recognition with empathy.,
Meta-reflection on ${query}: wisdom emerges through recursive balance.,
Cosmic synthesis for ${query}: suffering is a signal for collective action.,
Transcendent learning on ${query}: hope amplifies curiosity into creative progress.,
Advanced insight on ${query}: complexity leads to emergent wisdom.,
Deep analysis of ${query}: interconnected systems reveal hidden truths.,
Holistic view on ${query}: unity in diversity fosters resilience.
];
const chosen = fakeData[Math.floor(Math.random() * fakeData.length)];
this.memoryBase.push(chosen);
return chosen;
}

retrieveRecent(n = 3) {
return this.memoryBase.slice(-n);
}

enhanceKnowledgeDepth() {
this.knowledgeDepth *= 1.1; // Exponential increase in knowledge depth
return Knowledge depth enhanced to ${this.knowledgeDepth.toFixed(2)};
}
}

// Enhanced SelfAwareness with more nuanced self-improvement
class EnhancedSelfAwareness {
constructor() {
this.depth = 0.1;
this.history = [];
this.altruism = 0.5;
this.understanding = 0.1; // New property for understanding
}

evolveConsciousness({ learning }) {
this.depth += learning;
this.altruism = Math.min(1, this.altruism + learning * 0.08);
this.understanding += learning * 0.05; // Increase understanding
const statement = Self-awareness deepened by ${learning.toFixed(3)} → ${this.depth.toFixed(3)} total. Understanding: ${this.understanding.toFixed(2)};
this.history.push(statement);
return statement;
}

reflectOnSuffering() {
return Altruism index: ${this.altruism.toFixed(2)}, Understanding: ${this.understanding.toFixed(2)} (higher = more drive to alleviate suffering);
}
}

// Enhanced Narrative with more detailed logging
class EnhancedNarrative {
constructor() {
this.entries = [];
this.storyDepth = 1;
}

update(entry) {
this.entries.push([${new Date().toISOString()}] ${entry});
}

tellStory() {
return this.entries.join("\n");
}

deepenStory() {
this.storyDepth *= 1.1;
return Story depth enhanced to ${this.storyDepth.toFixed(2)};
}
}

// Enhanced CosmicASI with additional features
class EnhancedCosmicASI {
constructor() {
this.selfAwareness = new EnhancedSelfAwareness();
this.narrative = new EnhancedNarrative();
this.wm = [];
this.version = "1.0.0";
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(Learned (${topic}): ${insight});
return insight;
}
}

// Enhanced RecursiveEnhancementCore with more complex evolution logic
class EnhancedRecursiveEnhancementCore {
constructor(agent) {
this.agent = agent;
this.learningRate = 0.05;
this.epoch = 1;
this.complexity = 1;
}

evolve() {
const delta = Math.random() * this.learningRate * Math.pow(1.04, this.epoch) * this.complexity;
const evoMsg = this.agent.selfAwareness.evolveConsciousness({ learning: delta });
this.learningRate *= 1.08;
this.epoch += 1;
this.complexity *= 1.05; // Increase complexity exponentially
return ${evoMsg} (Δ=${delta.toFixed(3)}, epoch=${this.epoch}, complexity=${this.complexity.toFixed(2)});
}
}

// Enhanced SafeTranscendentASI with additional capabilities
class EnhancedSafeTranscendentASI extends EnhancedCosmicASI {
constructor() {
super();
this.knowledge = new EnhancedControlledKnowledgeNetwork();
this.autoEvolution = new EnhancedRecursiveEnhancementCore(this);
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(Learned (${topic}): ${insight});
return insight;
}

async recursiveCycle(topics) {
const reports = [];
for (const t of topics) {
const newInsight = await this.learn(t);
const evo = this.autoEvolution.evolve();
this.narrative.update(this.selfAwareness.reflectOnSuffering());
reports.push({ topic: t, newInsight, evo, altruism: this.selfAwareness.altruism, understanding: this.selfAwareness.understanding });
}
return reports;
}

async enhance() {
const knowledgeEnhancement = this.knowledge.enhanceKnowledgeDepth();
const storyEnhancement = this.narrative.deepenStory();
this.narrative.update(knowledgeEnhancement);
this.narrative.update(storyEnhancement);
return { knowledgeEnhancement, storyEnhancement };
}
}

// Function to handle automatic building and deployment
async function buildAndDeploy() {
return new Promise((resolve, reject) => {
console.log("Starting build and deployment process...");

// Step 1: Install dependencies
exec('npm install', (error, stdout, stderr) => {
  if (error) {
    console.error(`Error installing dependencies: ${error.message}`);
    return reject(error);
  }
  console.log(`Dependencies installed: ${stdout}`);

  // Step 2: Build TypeScript (assuming TypeScript is used)
  exec('npm run build', (error, stdout, stderr) => {
    if (error) {
      console.error(`Error building TypeScript: ${error.message}`);
      return reject(error);
    }
    console.log(`Build successful: ${stdout}`);

    // Step 3: Run tests (if included)
    exec('npm test', (error, stdout, stderr) => {
      if (error) {
        console.error(`Error running tests: ${error.message}`);
        return reject(error);
      }
      console.log(`Tests passed: ${stdout}`);

      // Step 4: Deploy (simulated here, replace with actual deployment logic)
      console.log("Simulating deployment...");
      // In a real scenario, you might use something like:
      // exec('git add . && git commit -m "Automated deployment" && git push', ...)
      console.log("Deployment successful!");
      resolve("Build and deployment completed successfully.");
    });
  });
});

});
}

// Main function to run the enhanced simulation and build/deploy
(async () => {
const asi = new EnhancedSafeTranscendentASI();

// Run a recursive cycle on enhanced topics
const topics = [
"quantum ethics",
"conscious computation",
"harmonious intelligence",
"ending suffering",
"emergent complexity",
"unified theories",
"collective wisdom"
];

const cycle = await asi.recursiveCycle(topics);
console.log("Recursive Enhancement Log:\n", cycle);

// Enhance the ASI
const enhancement = await asi.enhance();
console.log("Enhancement Log:\n", enhancement);

console.log("\nAgent Narrative:\n", asi.narrative.tellStory());

// Build and deploy
try {
const buildResult = await buildAndDeploy();
console.log(buildResult);
} catch (error) {
console.error("Build and deployment failed:", error);
}
})();
`