Fuzzy Grade of Membership as a Consensus and Synchronization Mechanism in Agent-Based Models
Agents use fuzzy systems for their rules. The antecedents of these fuzzy systems is used as a consensus and synchronization mechanism for the multiagent system. Inputs to an agents' fuzzy system are used as
- Fuzzy systems can both be used as a coordination control system (for consensus and synchronization) and for the agents' rules.
- The method can work in multiple agent organization approaches (flat, hierarchical, holonic, coalition, team, matrix, congregation).
- The method can be implemented heterogeneous$$$$$
- The method distributed$$$$$
- There is agent communication using a blackboard approach during consensus. The agents communicate the size and direction of the trade position that the would create.
- For experiments we use a flat organization among the agents.