#!/usr/bin/env python3
"""
Example: Testing Philosophical Hypotheses
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This example demonstrates hypothesis testing within the OpenEnded Philosophy
framework, showcasing fallibilistic inference and coherence evaluation.
### Methodological Architecture
**Hypothesis Testing Protocol**:
* **Formalization**: Precise statement articulation
* **Domain Testing**: Cross-contextual evaluation
* **Coherence Analysis**: Constraint satisfaction measurement
* **Pragmatic Assessment**: Efficacy-based validation
"""
import asyncio
import json
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from openended_philosophy import (
FallibilisticInference,
OpenEndedPhilosophyServer,
format_philosophical_output,
)
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
async def test_consciousness_hypothesis():
"""
Test the integrated information theory of consciousness.
### Hypothesis Structure
H: Consciousness emerges from integrated information (Φ) in complex systems
**Testable Implications**:
1. Higher Φ correlates with conscious experience
2. System partitioning reduces consciousness
3. Information integration necessary for awareness
"""
server = OpenEndedPhilosophyServer()
server.setup_handlers()
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
print("Testing Hypothesis: Integrated Information Theory of Consciousness")
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
hypothesis = (
"Consciousness emerges from and is identical to integrated information (Φ) "
"in systems with sufficient causal power and information integration"
)
# Define evaluation criteria
criteria = {
'empirical_adequacy': {
'weight': 0.3,
'threshold': 0.6
},
'explanatory_power': {
'weight': 0.3,
'threshold': 0.7
},
'theoretical_coherence': {
'weight': 0.2,
'threshold': 0.8
},
'predictive_capacity': {
'weight': 0.2,
'threshold': 0.5
}
}
# Test across domains
result = await server._test_hypothesis(
hypothesis=hypothesis,
test_domains=['neuroscience', 'philosophy_of_mind', 'information_theory', 'phenomenology'],
criteria=criteria
)
# Display results
print("\n### Testing Results ###")
print(f"Overall Coherence: {result['overall_coherence']:.3f}")
print(f"Pragmatic Score: {result['pragmatic_score']:.3f}")
print(f"Confidence: {result['confidence']:.3f}")
print("\n### Domain-Specific Analysis ###")
for domain, domain_result in result['domain_results'].items():
print(f"\n{domain.replace('_', ' ').title()}:")
print(f" Domain Coherence: {domain_result.get('coherence', 0.0):.3f}")
print(f" Supporting Evidence: {len(domain_result.get('supporting_evidence', []))}")
print(f" Challenges: {len(domain_result.get('challenges', []))}")
print("\n### Supporting Evidence ###")
for i, evidence in enumerate(result['supporting_evidence'][:5], 1):
print(f"{i}. {evidence}")
print("\n### Key Challenges ###")
for i, challenge in enumerate(result['challenges'][:5], 1):
print(f"{i}. {challenge}")
print("\n### Implications ###")
for implication in result['implications'][:3]:
print(f"- {implication}")
print("\n### Recommendations ###")
for rec in result['recommendations']:
print(f"- {rec}")
return result
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
async def test_ethical_hypothesis():
"""
Test a hypothesis about moral reasoning.
### Hypothesis Structure
H: Moral judgments emerge from integration of:
- Emotional responses (affective component)
- Rational deliberation (cognitive component)
- Social context (cultural component)
"""
server = OpenEndedPhilosophyServer()
server.setup_handlers()
print("\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
print("Testing Hypothesis: Integrated Model of Moral Judgment")
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
hypothesis = (
"Moral judgments necessarily emerge from the dynamic integration of "
"affective responses, rational deliberation, and cultural context, "
"with no single component being sufficient in isolation"
)
result = await server._test_hypothesis(
hypothesis=hypothesis,
test_domains=['ethics', 'psychology', 'neuroscience', 'anthropology']
)
# Formatted output
print("\n### Hypothesis Evaluation ###")
print(f"Confidence Level: {result['confidence']*100:.1f}%")
if result['confidence'] > 0.7:
print("Status: STRONGLY SUPPORTED")
elif result['confidence'] > 0.5:
print("Status: MODERATELY SUPPORTED")
else:
print("Status: WEAKLY SUPPORTED")
return result
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
async def generate_fallibilistic_insights():
"""
Generate insights about knowledge and certainty.
### Insight Generation Framework
**Process Architecture**:
1. Evidence pattern collection
2. Multi-perspectival synthesis
3. Uncertainty quantification
4. Revision condition specification
"""
server = OpenEndedPhilosophyServer()
server.setup_handlers()
print("\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
print("Generating Fallibilistic Insights: The Nature of Knowledge")
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
result = await server._generate_insights(
phenomenon="epistemic_justification",
perspectives=["foundationalist", "coherentist", "reliabilist", "virtue_epistemology"],
depth=3,
include_contradictions=True
)
print("\n### Primary Insights ###")
for i, insight in enumerate(result['primary_insights'], 1):
print(f"\n{i}. {insight['perspective'].upper()} PERSPECTIVE")
print(f" Insight: {insight['content']}")
print(f" Confidence: {insight['confidence']:.2%}")
print(" Key Limitations:")
for limitation in insight['limitations'][:2]:
print(f" - {limitation}")
print("\n### Identified Contradictions ###")
for contradiction in result['contradictions']:
print(f"⚡ {contradiction}")
print("\n### Synthesis ###")
if result['synthesis']:
print(f"Integrated View: {result['synthesis'].get('integrated_view', 'N/A')}")
print(f"Synthesis Confidence: {result['synthesis'].get('confidence', 0.0):.2%}")
print("\n### Uncertainty Profile ###")
profile = result['uncertainty_profile']
print(f"Epistemic Uncertainty: {profile['epistemic_uncertainty']:.3f}")
print(f"Perspectival Variance: {profile['perspectival_variance']:.3f}")
print(f"Temporal Stability: {profile['temporal_stability']:.3f}")
print(f"Conceptual Clarity: {profile['conceptual_clarity']:.3f}")
print("\n### Revision Triggers ###")
for trigger in result['revision_triggers'][:3]:
print(f"⟲ {trigger}")
return result
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
async def compare_philosophical_frameworks():
"""
Compare different philosophical frameworks using dynamic pluralism.
### Comparative Analysis Protocol
**Framework Interaction Dynamics**:
```
I(F₁,F₂) = α·Overlap(F₁,F₂) + β·Complementarity(F₁,F₂) - γ·Conflict(F₁,F₂)
```
Where:
- α: Overlap weighting coefficient
- β: Synergy potential coefficient
- γ: Tension penalty coefficient
"""
server = OpenEndedPhilosophyServer()
server.setup_handlers()
print("\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
print("Framework Comparison: Analytic vs Continental Philosophy")
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
# Define frameworks
analytic_schema = {
'name': 'Analytic Philosophy',
'concepts': ['clarity', 'logic', 'language_analysis', 'formal_methods'],
'methods': ['conceptual_analysis', 'formal_logic', 'empirical_verification'],
'goals': ['precision', 'truth', 'systematic_knowledge']
}
continental_schema = {
'name': 'Continental Philosophy',
'concepts': ['existence', 'phenomenology', 'hermeneutics', 'critique'],
'methods': ['interpretation', 'deconstruction', 'genealogy'],
'goals': ['understanding', 'meaning', 'liberation']
}
# Integrate into pluralism framework
pluralism = server.pluralism_framework
analytic_id = pluralism.integrate_perspective(analytic_schema)
continental_id = pluralism.integrate_perspective(continental_schema)
# Enable dialogue
topic = {
'question': 'What is the nature of human understanding?',
'domain': 'epistemology'
}
dialogue_result = pluralism.dialogue_between_schemas(
analytic_id,
continental_id,
topic
)
print("\n### Dialogue Results ###")
print(f"Interaction Quality: {dialogue_result['interaction_quality']:.2%}")
print("\n### Points of Agreement ###")
for agreement in dialogue_result['agreements']:
print(f"✓ {agreement}")
print("\n### Productive Tensions ###")
for tension in dialogue_result['tensions']:
print(f"⟷ {tension}")
print("\n### Emergent Insights ###")
for insight in dialogue_result['emergent_insights']:
print(f"💡 Type: {insight['type']}")
print(f" {insight['content']}")
print(f" Confidence: {insight['confidence']:.2%}")
return dialogue_result
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
async def main():
"""
Execute comprehensive hypothesis testing demonstration.
### Execution Architecture
**Sequential Processing**:
1. Consciousness hypothesis evaluation
2. Ethical reasoning hypothesis test
3. Fallibilistic insight generation
4. Framework comparison analysis
**Integration Synthesis**: Cross-domain pattern identification
"""
print("╔═══════════════════════════════════════════════════════════════════════════╗")
print("║ OpenEnded Philosophy: Hypothesis Testing Demo ║")
print("║ Fallibilistic Inference & Coherence Evaluation ║")
print("╚═══════════════════════════════════════════════════════════════════════════╝")
# Run demonstrations
consciousness_result = await test_consciousness_hypothesis()
ethical_result = await test_ethical_hypothesis()
insights_result = await generate_fallibilistic_insights()
comparison_result = await compare_philosophical_frameworks()
# Save comprehensive results
results = {
'timestamp': str(Path(__file__).parent / "hypothesis_testing_results.json"),
'consciousness_hypothesis': consciousness_result,
'ethical_hypothesis': ethical_result,
'epistemic_insights': insights_result,
'framework_comparison': comparison_result
}
output_path = Path("hypothesis_testing_results.json")
with open(output_path, 'w') as f:
json.dump(results, f, indent=2)
print("\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
print("✓ Hypothesis Testing Demonstration Complete")
print(f"✓ Results saved to: {output_path}")
print("\nKey Findings:")
print("- Hypotheses carry inherent uncertainty requiring ongoing revision")
print("- Cross-domain testing reveals both support and challenges")
print("- Contradictions between perspectives generate productive insights")
print("- All conclusions remain provisional and open to future evidence")
print("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━")
if __name__ == "__main__":
asyncio.run(main())
