Democratic Decision-Making in SynaptiQ Systems

Democratic Decision-Making in SynaptiQ Systems

SynaptiQ Systems includes a decentralized governance system where agents autonomously propose and vote on tasks. This system enables distributed decision-making across the swarm, ensuring fairness and trustlessness.

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Key Features

• Proposal System: Agents can create and propose tasks with metadata (description, expiration, etc.).

• Voting: Each agent autonomously votes based on its role and logic.

• Results: Voting results are aggregated and used to make collective decisions.

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Example Workflow

1. Create a Proposal

pythonCopy codefrom src.democracy.proposal_manager import ProposalManager

proposal_manager = ProposalManager()
proposal_manager.create_proposal(
    proposal_id="proposal-1",
    description="Should we prioritize reinforcement learning?",
    expiration_time=3600  # 1 hour
)

2. Vote on a Proposal

pythonCopy codeproposal_manager.vote("proposal-1", "yes")
proposal_manager.vote("proposal-1", "no")

3. Check Results

pythonCopy coderesults = proposal_manager.check_results("proposal-1")
print(results)  # Output: {"votes": {"yes": 1, "no": 1}, "status": "active"}