AI Agent Swarms

Launch an army of preconstruction process virtual agents 

The AI era represents a shift from code to settings and from deterministic to probabilistic. If the previous waves were about networked applications and users, this is about applications themselves being networks, or 'infranets'. At the business model level, these structural changes will play out at the operational "production level" rather than simply a distribution advantage. ​

Our AutoGen AI Agents run 24/7 in the cloud to complete manual tasks for legacy applications and websites automatically using virtual machines.

Run multiple workflows all at once - then watch them all live doing the work many tasks, simultaneously. We are seeing massive gains in productivity, along with improvement in accuracy and consistency.

Perform tasks that require real-time reasoning and judgement. Capture data from web pages and analyze it in real-time to decide next steps. Filter through multiple content items to dynamically pick one. Every worker has in-session memory to capture and re-use data across tools and platforms.

Swarm Intelligence and gamification...

Let’s look at the Builderchain Stakeholder marketplace includes an “algorithmic trading platform” strategy leveraging Microsoft Azure “Artificial Intelligence (AI)” technology and how the above objectives can be realized by referring to the following post about how a company named Quantopian, a company that is developing an “algorithmic trading platform” for the investment industry. I have highlighted the key elements of their strategy:

Point72 Asset Management's Steven A. Cohen, the billionaire investor operating under a two-year ban from managing others' money, is putting $250 million of his own funds under management with Boston-based startup Quantopian, and has bought a $2 million piece of ownership in the algorithmic trading platform.

Point72 Asset Management's Steven A. Cohen, the billionaire investor operating under a two-year ban from managing others' money, is putting $250 million of his own funds under management with Boston-based startup Quantopian, and has bought a $2 million piece of ownership in the algorithmic trading platform.

So, the strategy for Builderchain.org, a non-profit, with a separate URL (although both Builderchain.org and Builderchain.io share a common Microsoft CDS database), is to provide a global collaborative community for the industry to formulate new processes and workflows that will lead to true industry disruption. Builderchain will not be able to do that alone. We are crowdsourcing our own industry disruption, where many contributors will be creating and testing those “industry based” algorithms (processes and workflows).

Builderchain.org will be the marketplace where those vetted processes and workflows will be leveraged with the greatest competitive advantage. Many of the processes and workflows couldn’t even exist without an industry-wide marketplace platform such as Builderchain, as we show with our patent-pending software techniques that can only be applied at the marketplace level, versus a legacy platform set up and used by one company.

AI Use Case Library

Get inspired to get more value from AI. Browse practical use cases for out-of-the-box and custom AI solutions for any industry.

ERP as a Black Box

Any BuilderChain member’s ERP, CRM or project managment application can be wrapped with an automation layer, using Foundry and Self-Operating Computer techniques to operate much of the traditional tasks conducted by humans.

Self-Operating Computer

Unlike the complexity and administratively burdensome Robotic Process Automation (RPA), Builderchain is developing a vision-based AI Agent that works at the operation system level. We are integrated with OpenAI's GPT-4v (Vision) as our default multimodal model.

This allows for the maximum context and adaptability as it interacts with legacy business applications and websites.

Hierarchical Autonomous Agent Swarm (HAAS)

​Overview The Hierarchical Autonomous Agent Swarm (HAAS) is a groundbreaking initiative that leverages OpenAI's latest advancements in agent-based APIs to create a self-organizing and ethically governed ecosystem of AI agents. Drawing inspiration from the ACE Framework, HAAS introduces a novel approach to AI governance and operation, where a hierarchy of specialized agents, each with distinct roles and capabilities, collaborate to solve complex problems and perform a wide array of tasks.

The HAAS is designed to be a self-expanding system where a core set of agents, governed by a Supreme Oversight Board (SOB), can design, provision, and manage an arbitrary number of sub-agents tailored to specific needs. This document serves as a comprehensive guide to the theoretical underpinnings, architectural design, and operational principles of the HAAS.

Theoretical Foundation The AAHS is predicated on the notion that autonomous agents require a robust ethical and operational framework to make decisions that align with human values and organizational goals. This is rooted in the understanding that AI, much like humans, cannot operate effectively without a set of guiding principles or a moral compass. The HAAS addresses this by establishing a multi-tiered system where each layer of agents operates within a defined ethical and functional scope, ensuring decisions are made with consideration to morality, ethics, and utility.

​System Architecture Supreme Oversight Board (SOB) At the pinnacle of the HAAS hierarchy is the Supreme Oversight Board (SOB), a collective of high-level agents modeled after wise and ethical archetypes from various cultures and narratives. The SOB's responsibilities include: • Establishing and upholding the ethical framework and overarching mission of the agent swarm. • Making high-level decisions and judgments, including the creation and termination of agents. • Monitoring the activities of all agents to ensure alignment with the system's core values and objectives. • Serving as a role-based access control (RBAC) mechanism to maintain order and security within the system.

​​Sub-Agents

Sub-Agents are specialized agents created by the SOB or Executive Agents to perform specific tasks. They are designed with particular functions and knowledge bases to address the needs identified by the higher tiers of the hierarchy. ​

Agent Configuration

Each agent in the HAAS is defined by the following parameters: ​

Functions

Agents are equipped with a set of functions that enable them to perform their designated roles. These functions include API interactions, internal process management, and the ability to spawn additional agents if required. ​

Files

Agents have access to a selection of files that serve as their knowledge base, providing them with the information necessary to carry out their tasks effectively.

​Instructions

Agents are given a set of instructions that outline their methodologies, goals, definitions of done, KPIs, and other operational directives. ​

Conversation Structure

Interactions with agents are structured in a conversational format, with user inputs leading to agent actions and responses. ​

Supervision

Each agent operates under the supervision of the SOB or designated Executive Agents, ensuring adherence to the system's overarching mission and principles. ​

Controlling Agents

The Hierarchical Autonomous Agent Swarm (HAAS) operates on a sophisticated control mechanism that governs the instantiation, management, and termination of agents within the system. This control mechanism is designed to maintain order, security, and alignment with the overarching goals and ethical framework of the HAAS.

​Instantiation and Termination

All agents within the HAAS are endowed with the capability to instantiate and terminate agents, but these capabilities are bound by strict hierarchical and role-based rules:

Instantiation: Every agent has the function to create new agents. However, an agent can only instantiate sub-agents that are one level below its own hierarchical position. This ensures that the creation of new agents is a deliberate and controlled process, maintaining the integrity of the system's structure.

Termination: Agents possess the ability to terminate or "kill" agents within their lineage. An agent can terminate any descendant agent that it has created directly or indirectly. This allows for the removal of agents that are no longer needed, have completed their tasks, or are not performing as intended. ​

Levels, Roles, and Privileges

When an agent is created, it is assigned a specific LEVEL and set of ROLES or PRIVILEGES that define its scope of operation:

Level: The level of an agent determines its position within the hierarchy and is indicative of its range of influence. Higher-level agents have broader strategic roles, while lower-level agents are more specialized and task-oriented.

Roles/Privileges: The roles or privileges of an agent define what actions it can perform, what resources it can access, and what sub-agents it can create. These privileges are inherited and cannot exceed those of the creator agent. This ensures that each agent operates within its designated capacity and cannot overstep its authority. ​

Hierarchical Privilege Inheritance

Privileges in the HAAS are inherited in a manner akin to a directory structure in traditional file systems:

Inheritance: An agent's privileges are a subset of its creator's privileges, ensuring that no agent can have more authority than the agent that instantiated it.

Scope of Control: Agents have control over their descendants, allowing them to manage and terminate sub-agents as necessary. This control is recursive, meaning that an agent can manage not only the agents it directly created but also those created by its descendants. ​

Checks and Balances

The system is designed with checks and balances to prevent any single agent from gaining undue influence or disrupting the system:

Supreme Oversight Board (SOB): The SOB has the highest level of authority and can override decisions or actions taken by any agent within the system. It serves as the ultimate arbiter and guardian of the HAAS's ethical and operational standards.

Executive Agents:

Executive Agents are responsible for implementing the SOB's directives and managing their respective domains. They have the authority to create and terminate agents within their purview but are also accountable to the SOB.

Sub-Agent Limitations: Sub-Agents are limited in their capabilities and can only operate within the confines of their assigned roles and privileges. They are designed to be highly specialized and focused on specific tasks.

This structured approach to controlling agents ensures that the HAAS operates as a cohesive and ethically aligned entity, with each agent contributing to the collective mission while adhering to the established hierarchy and rules of governance.