MindSpeak Processors

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MindSpeak

MindSpeak DSL ∞  OmniXenus.OmegaPoint.1 ∞  The Unification Tapestry ∞  Mind Speak 7.0.1 ∞  Early DSL Solutions ∞  Mind Speak 2.1 ∞  Bespoke Diction ∞  MindSpeak DSL_CONFIG ∞  N-Dimensional UI ∞  The Whispering Prompts ∞ 

Reference —

DSL Reference  ∞  StrongBridge Operator ∞  NeuralNet.Biologic ∞  NeuralNet.Synthetic ∞  Consciousness Field ∞  MindSpeak3.0.anthropic.dsl.js ∞ 

These are early versions of the MindSpeak DSL Solutions

MindSpeakProcessor

@claude.ai — https://claude.ai/chat/9f47c040-8017-4bb6-ad21-4b2e26cd8cd0

A customized JSON string-object

{
  "type": "AIExplorationFramework",
  "name": "MindSpeakProcessor",
  "description": "An adaptive, multidimensional framework for exploring and evolving hypothetical AI systems",
  
  "knowledgeBases": [
    "current_ai_technologies",
    "cognitive_science_principles",
    "ai_ethics_guidelines",
    "speculative_ai_concepts"
  ],
  
  "dimensionality": {
    "axes": ["Capability", "Implementation", "Ethics", "Application"],
    "navigationMethods": ["TraverseAxis", "CrossSection", "AdaptiveZoom"]
  },
  
  "interpreter": {
    "preprocess": function(inputPrompt) {
      let cleanedPrompt = this.semanticCleaning(inputPrompt);
      let augmentedPrompt = this.contextAugmentation(cleanedPrompt);
      return this.dimensionalityExtraction(augmentedPrompt);
    },
    
    "compile": function(preprocessedPrompt) {
      let executableGraph = this.buildExecutionGraph(preprocessedPrompt);
      return this.optimizeGraph(executableGraph);
    },
    
    "execute": function(compiledGraph) {
      let initialState = this.initializeState(compiledGraph);
      let finalState = this.branchingExecution(initialState);
      return this.synthesizeOutput(finalState);
    }
  },
  
  "interactionModes": [
    "AnalyticalProbing",
    "SpeculativeExploration",
    "ReflectiveRefinement",
    "RecursiveElaboration"
  ],
  
  "process": function(inputPrompt, interactionMode) {
    this.loadKnowledgeBases();
    let preprocessedPrompt = this.interpreter.preprocess(inputPrompt);
    let compiledGraph = this.interpreter.compile(preprocessedPrompt);
    let output = this.interpreter.execute(compiledGraph);
    
    return this.renderOutput(output, interactionMode);
  }
}