Enhancing Swarm Efficiency with a Knowledge Base (KB) System

[wheward]

Enhancing Swarm Communication Efficiency with a Knowledge Base (KB) System

Hi All,

I've been following the discussions around our communication models, particularly the pub/sub model highlighted in discussion #32 and the communication accountant idea in discussion #73 and these lead me to believe that a centralized Knowledge Base (KB) System could significantly enhance the swarm's efficiency. I know the readme mentions this, but haven't seen it brought to bear on the question of inter-agent communication.

The Need for a Knowledge Base

With a pub/sub model having messaging limited to immediate 'neighbors' (which I think is a great idea), might make knowledge sharing inefficient and subject to degradation after being passed around repeatedly (think game of telephone, copies of copies). A KB system can serve as a repository for shared information that is relevant beyond the scope of an agent's immediate neighbors, helping prevent the repetition of work and ensuring that valuable insights are not confined to isolated agent clusters.

Knowledge Extraction

Inspired by @daveshap's video and video on using AI to build knowledge graphs from complex data and summarizing input from large populations, we could employ similar techniques to extract and organize knowledge. This structured information can then be integrated into the KB, making it a dynamic and evolving resource.

Specialized KB Agents

I propose creating KB Agents tasked with monitoring specific agent teams. Their role would be to identify crucial facts or discoveries and update the KB. They would likely have limited capacity and need to be dynamically provisioned and managed to keep track of the entire swarm in an efficient way.

Tangent: This also might require a class of resource management agents. Does the swarm have a budget? Does the budget live in the KB?

2 KB Agent Classes

To make this KB universally useful, agents need robust search and access tools. These tools should enable any agent, regardless of its role or level, to swiftly find and utilize information from the KB. Maybe the tool is an agent? It would be helpful if it can not only search and access curated KB content (the librarians of the swarm) but also analyze and summarize the KB content for supervisory agents, like a Business Intelligence team.

With fixed context windows, every agent from the SOB's down will need things summarized for them. I think it's better to have a dedicated function for this than taxing the execs and supervisory agents with this in addition to execution. This is a similar idea to org design in a corporation to give HR to HR and Finance to Finance so that line management can focus on execution.

Benefits to the Swarm

• Prevents Redundancy: By having a shared knowledge resource, avoid repetitive tasks and focus on new challenges.
• Enhances Supervision: Supervisory agents can use the KB to gain insights into the swarm's collective knowledge and activities, enabling better oversight and decision-making.
• Scalable and Efficient: With proper capacity management and prioritization, the KB can scale with the swarm, supporting a growing range of tasks and complexities.

Integration with Proposed Communication Models

I envision the KB seamlessly integrating with the proposed pub/sub model and repurposing the communication accountant concept as the KB agents to be complementary.

Excited to hear your feedback!

[daveshap]

I often recommend that people create a KB system with an API so that all agents have equal access