mirror of
https://github.com/allaunthefox/Research-Stack.git
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90 lines
4.1 KiB
Python
90 lines
4.1 KiB
Python
#!/usr/bin/env python3
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"""Observe what the swarm agents are doing with theory development"""
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import sys
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import os
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sys.path.insert(0, '/home/allaun/Documents/Research Stack/scripts')
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from enhanced_integrated_swarm import TheoryDevelopment, ComprehensiveLearning, BiologicalLearning, GPULearning
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def observe_theory_development():
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"""Observe what the swarm agents are doing with theory development"""
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print("[OBSERVATION] Observing swarm agent theory development activities...\n")
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# Create learning systems
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physics_learning = ComprehensiveLearning()
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bio_learning = BiologicalLearning()
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gpu_learning = GPULearning()
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# Auto-learn physics concepts
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print("=== Step 1: Knowledge Acquisition ===")
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print("Swarm agents are learning physics and engineering concepts...")
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physics_learning.auto_learn()
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print(f"✓ Agents have learned {len(physics_learning.learned_concepts)} concepts\n")
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# Create theory development system
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print("=== Step 2: Theory Development Initialization ===")
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theory_development = TheoryDevelopment()
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theory_development.set_learning_systems(physics_learning, bio_learning, gpu_learning)
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print("✓ Theory development system initialized\n")
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# Observe automatic theory development
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print("=== Step 3: Automatic Theory Development ===")
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print("Swarm agents are now synthesizing knowledge across domains...\n")
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theory_development.auto_develop_theories()
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# Show what they discovered
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print("\n=== Step 4: Theory Development Results ===")
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print("\n--- Cross-Domain Syntheses ---")
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for i, synthesis in enumerate(theory_development.cross_domain_syntheses[-5:], 1):
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print(f"{i}. {synthesis['domains'][0]} ↔ {synthesis['domains'][1]}")
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print(f" Synthesis points: {len(synthesis['synthesis_points'])}")
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print(f" Confidence: {synthesis['confidence']:.2f}")
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if synthesis['synthesis_points']:
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# Show sample relationships
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sample_points = synthesis['synthesis_points'][:3]
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for sp in sample_points:
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if sp['relationship'] != 'unknown':
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print(f" Sample: {sp['concept1']} + {sp['concept2']} → {sp['relationship']}")
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print()
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print("\n--- Generated Hypotheses ---")
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for i, hypothesis in enumerate(theory_development.hypotheses, 1):
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if hypothesis['statement']:
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print(f"{i}. {hypothesis['statement']}")
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print(f" Confidence: {hypothesis['confidence']:.2f}, Testable: {hypothesis['testable']}")
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print()
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print("\n--- Formulated Theories ---")
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for i, theory in enumerate(theory_development.generated_theories, 1):
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print(f"{i}. {theory['formal_statement']}")
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print(f" Confidence: {theory['confidence']:.2f}, Testability: {theory['testability_score']:.2f}")
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print(f" Domain crossings: {len(theory['domain_crossings'])}")
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for crossing in theory['domain_crossings']:
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print(f" - {crossing}")
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print()
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# Get summary
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print("=== Step 5: Theory Development Summary ===")
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summary = theory_development.get_theory_summary()
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print(f"Total syntheses: {summary['total_syntheses']}")
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print(f"Total hypotheses: {summary['total_hypotheses']}")
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print(f"Total theories: {summary['total_theories']}")
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print(f"Average confidence: {summary['average_confidence']:.2f}")
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print("\n=== Conclusion ===")
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print("Swarm agents are actively:")
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print("- Synthesizing concepts across 7 knowledge domains")
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print("- Identifying relationships between domain concepts")
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print("- Generating testable hypotheses from cross-domain patterns")
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print("- Formulating unified theories from multiple hypotheses")
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print("- Testing theories against known principles for consistency")
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print("\nThe agents are developing novel theoretical frameworks by combining")
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print("knowledge from EM spectrum, material science, computation design,")
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print("quantum mechanics, thermodynamics, networking, and OmniToken architecture.")
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if __name__ == "__main__":
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observe_theory_development()
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