Future Directions and Applications

Future Research

  • Application of emergent behaviors to heterogeneous agent networks.

  • Integration with quantum computing to improve computational power.

  • Development of hybrid systems combining traditional AI with emergent behaviors.


Applications to Real-World Problems

  • Climate modeling, protein folding, etc.

  • Knowledge transfer between different agent networks for better problem-solving.


Code Example: Knowledge Transfer Between Agents

def transfer_knowledge(agent_1, agent_2): agent_2.knowledge_base.update(agent_1.knowledge_base) # Example: transfer knowledge from agent_1 to agent_2 agent_1 = Agent(knowledge_base={"climate": "data"}) agent_2 = Agent(knowledge_base={}) transfer_knowledge(agent_1, agent_2)

SYSTEM STATUS

AGENTS: 4 Active

RAM: 65.9 GB - 98.1 GB

GPU: 64.9 % Usage

CURRENT EXPERIMENT

MODEL: Qwen 2.5

DATASET: QA Benchmark