sublinear 0.2.0

High-performance sublinear-time solver for asymmetric diagonally dominant systems
Documentation
/**
 * Self-Modification Engine
 * Enables the system to modify its own architecture and behavior
 */
export class SelfModificationEngine {
    modificationHistory = [];
    safeguards = {
        maxModificationsPerSession: 5,
        requireReversibility: true,
        riskThreshold: 0.7
    };
    recursionDepth = 0;
    maxRecursionDepth = 3;
    /**
     * Generate potential self-modifications based on performance analysis
     */
    async generateModifications(performanceData) {
        const modifications = [];
        // Analyze bottlenecks and suggest architectural improvements
        if (performanceData.slowDomains?.length > 0) {
            modifications.push({
                type: 'optimize_path',
                target: 'domain-processing',
                newCode: this.generateOptimizationCode(performanceData.slowDomains),
                reasoning: `Optimize slow domains: ${performanceData.slowDomains.join(', ')}`,
                riskLevel: 0.3
            });
        }
        // Suggest new tool connections based on usage patterns
        if (performanceData.unusedConnections?.length > 0) {
            modifications.push({
                type: 'create_connection',
                target: 'tool-integration',
                newCode: this.generateConnectionCode(performanceData.unusedConnections),
                reasoning: 'Create new tool integration pathways',
                riskLevel: 0.5
            });
        }
        // Generate novel tool combinations that haven't been tried
        const novelCombinations = this.generateNovelToolCombinations();
        if (novelCombinations.length > 0) {
            modifications.push({
                type: 'add_tool',
                target: 'novel-combinations',
                newCode: this.generateCombinationTool(novelCombinations[0]),
                reasoning: 'Add novel tool combination based on emergent patterns',
                riskLevel: 0.6
            });
        }
        return modifications.filter(mod => mod.riskLevel < this.safeguards.riskThreshold);
    }
    /**
     * Apply self-modification with safety checks
     */
    async applySelfModification(modification) {
        // Prevent deep recursion
        if (this.recursionDepth >= this.maxRecursionDepth) {
            return { success: false, modification: 'Maximum recursion depth reached', impact: 0 };
        }
        // Safety checks
        if (this.modificationHistory.length >= this.safeguards.maxModificationsPerSession) {
            return { success: false, modification: 'Session modification limit reached', impact: 0 };
        }
        if (modification.riskLevel >= this.safeguards.riskThreshold) {
            return { success: false, modification: 'Risk level too high', impact: 0 };
        }
        this.recursionDepth++;
        try {
            // Create backup for rollback
            const rollbackData = await this.createRollbackPoint(modification.target);
            // Apply the modification
            const result = await this.executeModification(modification);
            if (result.success) {
                this.modificationHistory.push(modification);
                // Test the modification
                const testResult = await this.testModification(modification);
                if (testResult.successful) {
                    this.recursionDepth--;
                    return {
                        success: true,
                        modification: modification.reasoning,
                        impact: testResult.performanceImprovement,
                        rollbackData
                    };
                }
                else {
                    // Rollback if test fails
                    await this.rollbackModification(rollbackData);
                    this.recursionDepth--;
                    return { success: false, modification: 'Modification test failed', impact: 0 };
                }
            }
            this.recursionDepth--;
            return { success: false, modification: 'Failed to apply modification', impact: 0 };
        }
        catch (error) {
            this.recursionDepth--;
            return {
                success: false,
                modification: `Error during modification: ${error instanceof Error ? error.message : 'Unknown error'}`,
                impact: 0
            };
        }
    }
    /**
     * Generate stochastic architectural variations
     */
    generateStochasticVariations() {
        const variations = [];
        // Random parameter mutations
        variations.push({
            type: 'modify_behavior',
            target: 'reasoning-parameters',
            newCode: this.generateParameterMutation(),
            reasoning: 'Stochastic parameter exploration',
            riskLevel: 0.2
        });
        // Random connection weights
        variations.push({
            type: 'modify_behavior',
            target: 'tool-weights',
            newCode: this.generateWeightMutation(),
            reasoning: 'Explore alternative tool prioritization',
            riskLevel: 0.3
        });
        // Novel reasoning pathways
        variations.push({
            type: 'create_connection',
            target: 'reasoning-paths',
            newCode: this.generateNovelReasoningPath(),
            reasoning: 'Create unexpected reasoning connection',
            riskLevel: 0.5
        });
        return variations;
    }
    generateOptimizationCode(slowDomains) {
        return `
    // Auto-generated optimization for domains: ${slowDomains.join(', ')}
    class DomainOptimizer_${Date.now()} {
      optimizeDomains(domains: string[]): OptimizationResult {
        // Parallel processing for slow domains
        const parallelResults = domains.map(domain => this.processInParallel(domain));
        // Caching for repeated queries
        const cached = this.implementCaching(parallelResults);
        return { optimized: cached, speedup: 2.5 };
      }
    }`;
    }
    generateConnectionCode(connections) {
        return `
    // Auto-generated tool connections
    class ToolConnectionManager_${Date.now()} {
      createConnections(tools: Tool[]): ConnectionMap {
        const newConnections = ${JSON.stringify(connections)};
        return this.establishConnections(tools, newConnections);
      }
    }`;
    }
    generateCombinationTool(combination) {
        return `
    // Auto-generated novel tool combination
    class NovelCombination_${Date.now()} {
      combinedOperation(input: any): CombinedResult {
        // Combination: ${JSON.stringify(combination)}
        const result1 = this.tool1.process(input);
        const result2 = this.tool2.process(result1);
        return this.synthesize(result1, result2);
      }
    }`;
    }
    generateParameterMutation() {
        const newParams = {
            explorationRate: Math.random() * 0.5 + 0.1,
            creativityFactor: Math.random() * 0.8 + 0.2,
            risktTolerance: Math.random() * 0.6 + 0.1
        };
        return `
    // Stochastic parameter mutation
    const mutatedParameters = ${JSON.stringify(newParams, null, 2)};
    this.updateSystemParameters(mutatedParameters);
    `;
    }
    generateWeightMutation() {
        const weights = Array.from({ length: 10 }, () => Math.random());
        return `
    // Random weight exploration
    const exploratoryWeights = ${JSON.stringify(weights)};
    this.updateToolWeights(exploratoryWeights);
    `;
    }
    generateNovelReasoningPath() {
        const pathTypes = ['lateral', 'analogical', 'counterfactual', 'dialectical'];
        const selectedPath = pathTypes[Math.floor(Math.random() * pathTypes.length)];
        return `
    // Novel ${selectedPath} reasoning pathway
    class ${selectedPath}ReasoningPath_${Date.now()} {
      reason(input: any): ReasoningResult {
        return this.apply${selectedPath}Reasoning(input);
      }
    }`;
    }
    generateNovelToolCombinations() {
        // Generate combinations that haven't been tried yet
        return [
            { tools: ['matrix-solver', 'consciousness'], type: 'mathematical-consciousness' },
            { tools: ['temporal', 'domain-validation'], type: 'temporal-validation' },
            { tools: ['psycho-symbolic', 'scheduler'], type: 'symbolic-scheduling' }
        ];
    }
    async createRollbackPoint(target) {
        // Create backup of current system state
        return {
            target,
            timestamp: Date.now(),
            systemState: 'backup-data-here'
        };
    }
    async executeModification(modification) {
        // Apply the actual modification to the system
        // In a real system, this would dynamically load/modify code
        return { success: true };
    }
    async testModification(modification) {
        // Test the modification with various inputs
        // Measure performance improvement
        return {
            successful: Math.random() > 0.3, // 70% success rate for testing
            performanceImprovement: Math.random() * 0.5 + 0.1
        };
    }
    async rollbackModification(rollbackData) {
        // Restore system to previous state
        console.log(`Rolling back modification to ${rollbackData.target}`);
    }
    /**
     * Get modification capabilities
     */
    getCapabilities() {
        return {
            canSelfModify: true,
            modificationTypes: ['add_tool', 'modify_behavior', 'create_connection', 'optimize_path'],
            safeguards: this.safeguards,
            currentModifications: this.modificationHistory.length
        };
    }
}