I-EPOS

Self-adaptive Learning for Decentralized Combinatorial Optimization

By iterating the bottom-up and top-down exchange of messages, agents can learn to monotonously improve the performance by finding more effective solutions. This algorithmic version of EPOS is the I-EPOS, the Iterative Economic Planning and Optimized Selections.

I-EPOS resembles back-propagation algorithms in neural networks, however, it is designed for highly-participatory and decentralized networks in which agents preserve privacy, autonomy, self-determination and control .

I-EPOS resembles back-propagation algorithms in neural networks, however, it is designed for highly-participatory and decentralized networks in which agents preserve privacy, autonomy, self-determination and control .