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DOCS
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SRC
Load_Data.py
run_experiments.py
utils.py
config.json
Network Topology and Emergent Properties
Network Topology Analysis
Explanation of network formation by AI agents under collaboration protocols.
Topological properties observed (core regions, peripheral nodes, etc.).
Emergent Properties
Similarity to biological neural networks.
Patterns of load distribution across the network.
The role of emergent behavior in network self-optimization.
Code Example: Network Topology Creation
import networkx as nx
import matplotlib.pyplot as plt
# Create an empty graph
G = nx.erdos_renyi_graph(1000, 0.05)
# Draw the network
nx.draw(G, node_size=10, with_labels=False)
plt.show()
Load Balancing & Efficiency
Use of heat map visualization to represent load distribution.
Analysis of dynamic load balancing and task reallocation.
SYSTEM STATUS
AGENTS: 4 Active
RAM: 14.6 GB - 98.1 GB
GPU: 21 % Usage
CURRENT EXPERIMENT
MODEL: Qwen 2.5
DATASET: QA Benchmark