SynaptiQ Systems
  • Welcome SynaptiQ Systems
  • Getting Started
    • Overview: SynaptiQ Systems
    • Installation Guide: SynaptiQ Systems
  • Basics
    • YAML Configuration Filentitled
    • Modular Architecture: SynaptiQ Systems
    • Swarm Behavior: SynaptiQ Systems
    • SwarmConsensus: Collaborative Decision-Making in SynaptiQ Systems
    • Dynamic Breeding in SynaptiQ Systems
    • Democratic Decision-Making in SynaptiQ Systems
  • Multi-Agent Collaboration in SynaptiQ Systems
  • AI Agent in SynaptiQ Systems
  • Reinforcement Learning (Self-Optimization) in SynaptiQ Systems
  • IPFS for Decentralized Messaging in SynaptiQ Systems
  • Integrations in SynaptiQ Systems
  • Database and Storage Integrations
  • Blockchain Smart Contract Interaction
  • Blockchain Integration
  • Knowledge Graph Integration
  • Advanced Use Cases
  • API Documentation
  • Glossary
  • Output Overview
  • Security Practices
  • Roadmap
  • FAQ
  • Proof of Concept: Aether SynaptiQ Systems in Action
  • Github
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Roadmap

Here's the updated version of your Roadmap with SynaptiQ Systems replacing Aether:


Roadmap

Current Milestones

  1. Advanced Multi-Agent Collaboration:

    • Develop a robust messaging system for inter-agent communication.

    • Implement dynamic delegation of tasks based on agent roles and skills.

  2. Enhanced Blockchain Integration:

    • Expand support to Polkadot, Cosmos, and other blockchains.

    • Enable tokenized incentives for agent contributions.

  3. Reinforcement Learning Optimization:

    • Introduce multi-agent reinforcement learning (MARL) for collaborative learning.

    • Optimize RL algorithms for faster convergence in real-time scenarios.


Future Goals

  1. Federated Learning Integration:

    • Enable decentralized agents to collaboratively train models without exposing raw data.

    • Implement privacy-preserving mechanisms for sensitive tasks.

  2. IoT and Edge AI Integration:

    • Extend SynaptiQ Systems to edge devices for local, decentralized decision-making.

    • Apply IoT compatibility for smart environments and real-time monitoring.

  3. Cloud Service Integrations:

    • Build modules for seamless interaction with AWS, GCP, and Azure for hybrid systems.

    • Enable cloud-based logging, task management, and analytics.

  4. Decentralized Marketplaces:

    • Design frameworks for autonomous agents to create and operate in decentralized marketplaces.

    • Implement on-chain bidding and resource management for task distribution.

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Last updated 5 months ago