The smart matching microservice preserves security in this distributed environment through decentralized consensus based on voting among the recommended list of reputable agents to express their acceptance of valid transactions.
The tokenized decision making microservice predicts future results and helps the decentralized social media reduce costs and latency by analyzing previous voting outcomes and preferences.
The trust SLA microservice takes optimized decisions according to conflicting objectives to suggest relevant communities for various services over time, in order to improve the recommendation quality and eliminate malicious actors in participatory exchanges.