SwarmConsensus: Collaborative Decision-Making in SynaptiQ Systems
SwarmConsensus: Collaborative Decision-Making in SynaptiQ Systems
SwarmConsensus is a core feature of SynaptiQ Systems that enables collaborative decision-making among agents. It supports both small-scale and large-scale swarms with the following methods:
Basic Redis Methods: Ideal for small swarms with straightforward task delegation.
Advanced Lua and Transactional Methods: Designed for larger, more complex swarms requiring atomicity and performance optimization.
Basic Methods for Small Swarms
1. Propose a Task
Agents can propose tasks using a simple Redis-backed counter.
pythonCopy codeproposal_id = swarm.propose_task("Analyze data trends")
2. Vote for a Task
Each agent can vote on proposals using Redis hash operations.
pythonCopy codeswarm.vote(proposal_id)
3. Retrieve Consensus
Consensus is reached when a task receives a threshold number of votes.
pythonCopy codeconsensus = swarm.get_consensus()
print(consensus)
Advanced Methods for Larger Swarms
For larger swarms or high-concurrency scenarios, SwarmConsensus provides enhanced functionality using Lua scripts and Redis transactions:
1. Propose a Task with Lua
Lua ensures atomic task proposal operations, minimizing race conditions.
pythonCopy codeproposal_id = swarm.propose_task_with_lua("Optimize blockchain transaction flow")
2. Vote with Redis Transactions
Transactions ensure that voting operations are executed atomically, even under high concurrency.
pythonCopy codeswarm.vote_with_transaction(proposal_id)
3. Consensus via Lua
For large datasets or frequent voting, Lua scripts streamline consensus checks.
pythonCopy codeconsensus = swarm.get_consensus_with_lua(threshold=5)
print(consensus)
When to Use Each Method
Method
Use Case
Basic Methods
Small swarms with simple task delegation.
Lua Scripts
Atomic task proposals and high-frequency voting.
Redis Transactions
High-concurrency voting in large swarms.
Example Workflow
Here’s a step-by-step workflow for using the SwarmConsensus module:
1. Propose a Task
pythonCopy codeproposal_id = swarm.propose_task_with_lua("Conduct AI-powered simulations")
2. Vote on a Task
pythonCopy codeswarm.vote_with_transaction(proposal_id)
3. Check Consensus
pythonCopy codeconsensus = swarm.get_consensus_with_lua(threshold=3)
if consensus:
print("Consensus reached:", consensus)
else:
print("No consensus reached yet.")
Key Notes
Use basic methods for lightweight operations and testing.
For production environments or large-scale swarms:
Leverage Lua scripts for atomicity and optimized performance.
Use Redis transactions to ensure data consistency under high concurrency.
Configure the consensus threshold based on your swarm size and requirements.
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