import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
import hashlib
import json
class iScientist:
"""
iScientist Interface: Breaking barriers for the next thousand years
Quantum-AI powered scientific discovery and governance
"""
def __init__(self):
self.quantum_state = np.random.rand(4, 4) + 1j * np.random.rand(4, 4)
self.discoveries = []
self.governance_chain = []
def quantum_discovery_engine(self, research_query):
"""
Quantum-powered discovery algorithm
Breaks through traditional research limitations
"""
# Quantum superposition of possibilities
query_hash = hashlib.sha256(research_query.encode()).hexdigest()[:8]
quantum_factor = np.abs(np.sum(self.quantum_state)) * 0.1
discovery_potential = np.exp(quantum_factor) * len(research_query)
breakthrough_score = discovery_potential / (1 + np.exp(-0.1 * discovery_potential))
discovery = {
"query": research_query,
"breakthrough_score": breakthrough_score,
"quantum_signature": query_hash,
"timestamp": datetime.now().isoformat(),
"potential_impact": "∞" if breakthrough_score > 100 else f"{breakthrough_score:.2f}"
}
self.discoveries.append(discovery)
return discovery
class IntelliWebNode:
"""
I-I-W Node: Self-organizing, self-healing network component
"""
def __init__(self, node_id):
self.node_id = node_id
self.connections = []
self.intelligence_factor = np.random.rand()
self.quantum_entanglement = {}
def entangle_with(self, other_node):
"""Create quantum entanglement between nodes"""
entanglement_strength = (self.intelligence_factor + other_node.intelligence_factor) / 2
self.quantum_entanglement[other_node.node_id] = entanglement_strength
other_node.quantum_entanglement[self.node_id] = entanglement_strength
def propagate_intelligence(self):
"""Self-evolving intelligence propagation"""
for node_id, strength in self.quantum_entanglement.items():
self.intelligence_factor += strength * 0.01
self.intelligence_factor = min(self.intelligence_factor, 1.0) # Cap at 1.0
class IntelliInternet:
"""
I-I: The Intelli-Internet - A self-organizing, quantum-optimized network
"""
def __init__(self, initial_nodes=10):
self.nodes = [IntelliWebNode(i) for i in range(initial_nodes)]
self.iscientist = iScientist()
self.governance = IntelliGovernance()
self.evolution_history = []
def create_quantum_mesh(self):
"""Create quantum entangled mesh network"""
for i, node in enumerate(self.nodes):
# Each node entangles with 3-5 random nodes
connections = np.random.choice(len(self.nodes),
size=np.random.randint(3, 6),
replace=False)
for conn in connections:
if conn != i:
node.entangle_with(self.nodes[conn])
def evolve_network(self, iterations=100):
"""Self-evolving network optimization"""
for iteration in range(iterations):
# Propagate intelligence across network
for node in self.nodes:
node.propagate_intelligence()
# Calculate network intelligence
network_intelligence = np.mean([n.intelligence_factor for n in self.nodes])
# Record evolution
self.evolution_history.append({
"iteration": iteration,
"network_intelligence": network_intelligence,
"governance_score": self.governance.compute_intelli_governance(iteration + 1)
})
# Self-organize: Add new nodes if network intelligence is high
if network_intelligence > 0.8 and np.random.rand() > 0.7:
new_node = IntelliWebNode(len(self.nodes))
new_node.intelligence_factor = network_intelligence
self.nodes.append(new_node)
# Connect to existing nodes
for _ in range(3):
random_node = np.random.choice(self.nodes[:-1])
new_node.entangle_with(random_node)
def scientific_breakthrough(self, query):
"""Process scientific queries through quantum-AI engine"""
return self.iscientist.quantum_discovery_engine(query)
def visualize_evolution(self):
"""Visualize network evolution"""
if not self.evolution_history:
return
iterations = [h["iteration"] for h in self.evolution_history]
intelligence = [h["network_intelligence"] for h in self.evolution_history]
governance = [h["governance_score"] for h in self.evolution_history]
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 8))
ax1.plot(iterations, intelligence, 'b-', label='Network Intelligence')
ax1.set_ylabel('Intelligence Factor')
ax1.set_title('IntelliWeb Evolution: Path to Infinite Intelligence')
ax1.legend()
ax1.grid(True, alpha=0.3)
ax2.plot(iterations, governance, 'g-', label='Governance Score')
ax2.set_xlabel('Evolution Steps')
ax2.set_ylabel('I_G Score')
ax2.legend()
ax2.grid(True, alpha=0.3)
plt.tight_layout()
return fig
# Enhanced IntelliGovernance from original
class IntelliGovernance:
def __init__(self, alpha=0.98):
self.alpha = alpha
self.blockchain = [] # Simple blockchain for governance decisions
def ai_swarm_intelligence(self, t):
return np.log1p(t) * 1.5
def quantum_blockchain_security(self, t):
return np.exp(-0.1 * t) + 1
def decentralized_autonomy(self, t):
return np.sin(t) + 2
def governance_swarm_complexity(self, t):
return np.sqrt(t) + 3
def economic_equilibrium(self, t):
return 1 / (1 + np.exp(-0.05 * (t - 10)))
def compute_intelli_governance(self, t):
S_AI = self.ai_swarm_intelligence(t)
Q_BC = self.quantum_blockchain_security(t)
D_DA = self.decentralized_autonomy(t)
G_SW = self.governance_swarm_complexity(t)
E_SA = self.economic_equilibrium(t)
I_G = ((S_AI + Q_BC + D_DA) / (G_SW + E_SA)) ** self.alpha
# Add to blockchain
block = {
"time": t,
"I_G": I_G,
"hash": hashlib.sha256(str(I_G).encode()).hexdigest()[:16]
}
self.blockchain.append(block)
return I_G
# Demonstration of the IntelliWeb-Internet (I-I-W)
if __name__ == "__main__":
print("🌐 Initializing IntelliWeb-Internet (I-I-W)...")
print("=" * 50)
# Create the Intelli-Internet
intelli_net = IntelliInternet(initial_nodes=15)
# Create quantum mesh
intelli_net.create_quantum_mesh()
print("✓ Quantum mesh network created")
# Evolve the network
print("✓ Evolving network intelligence...")
intelli_net.evolve_network(iterations=50)
# Make scientific breakthroughs
queries = [
"quantum consciousness integration",
"infinite energy harvesting",
"time-space folding algorithms",
"universal disease eradication",
"consciousness-blockchain merger"
]
print("\n🔬 iScientist Breakthroughs:")
print("-" * 50)
for query in queries:
discovery = intelli_net.scientific_breakthrough(query)
print(f"Query: {discovery['query']}")
print(f"Breakthrough Score: {discovery['breakthrough_score']:.2f}")
print(f"Potential Impact: {discovery['potential_impact']}")
print(f"Quantum Signature: {discovery['quantum_signature']}")
print("-" * 50)
# Show network stats
final_intelligence = np.mean([n.intelligence_factor for n in intelli_net.nodes])
print(f"\n📊 Network Statistics:")
print(f"Total Nodes: {len(intelli_net.nodes)}")
print(f"Network Intelligence: {final_intelligence:.4f}")
print(f"Total Discoveries: {len(intelli_net.iscientist.discoveries)}")
# Visualize evolution
intelli_net.visualize_evolution()
plt.show()
# Export governance blockchain
print("\n⛓️ Governance Blockchain (last 5 blocks):")
for block in intelli_net.governance.blockchain[-5:]:
print(f"Block {block['time']}: I_G={block['I_G']:.4f}, Hash={block['hash']}")