Resources

Multi-Agent Collective Intelligence with Active Inference (Part 1)
Considering a two-level structure to derive collective intelligence

Author: Kobus Esterhuysen

October 17, 2024

Summary

In this project the client offers an Enterprise Resource Planning (ERP) system that consists of a number of modules. The system runs as a SaaS (Software-as-a-Service). The client’s need is to consider the feasibility of adding a ‘Collective Intelligence’ module to the suite of modules. A subscriber to the ERP offering can potentially identify a number of entities, for example, business units to operate as agents which may learn from each other. One scenario regards learning from the tensions inherent in the budgeting process. A business unit often asks for the maximum allocation possible even if this amount is not strictly necessary. If budgeting agents could learn from each other and a globally more optimal partitioning of funds could emerge, this could lead to a situation where the collective intelligence of the budgeting agents exceeds the sum of the intelligences of the individual agents. Less monetary resources would be wasted and an agent will only ask for money needed in the context of the needs of the company as a whole.