SFINA
Sample Text: Hierarchically Structured Interactions
Self-organization in hierarchical networks
Agents in EPOS are self-organized in a tree topology over which they perform collective decision-making. A tree is a connected acyclic graph over which a duplicate-free aggregation can be performed as required for the execution of the agents operations.
By using a tree, an EPOS execution efficiently completes via a bottom-up and top-down exchange of messages.
Agents can be sorted in the tree to improve the performance of the global outcomes. Criteria for sorting agents may include measurable features of the plans, for instance, the variance, or the network availability so that agent disconnections have a minimal impact on the overall topology. Building and maintenance of tree topologies can be achieved via self-organization using several fully decentralized services, such as AETOS, the Adaptive Epidemic Tree Overlay Service.
Self-organization in hierarchical networks
Agents in EPOS are self-organized in a tree topology over which they perform collective decision-making. A tree is a connected acyclic graph over which a duplicate-free aggregation can be performed as required for the execution of the agents operations.
By using a tree, an EPOS execution efficiently completes via a bottom-up and top-down exchange of messages.
Agents can be sorted in the tree to improve the performance of the global outcomes. Criteria for sorting agents may include measurable features of the plans, for instance, the variance, or the network availability so that agent disconnections have a minimal impact on the overall topology. Building and maintenance of tree topologies can be achieved via self-organization using several fully decentralized services, such as AETOS, the Adaptive Epidemic Tree Overlay Service.