Human Life Model (HLM)

The Human Life Model (HLM) defines the minimum requirements needed for AI agents whose responses and behavior are indistinguishable from an actual human. The HLM focuses on the integration of artificial intelligence (AI) with human-like conversation, memory, learning, and behavior. The concept and model requirements were initially created by Andy LoCascio in late 2023 and continue to be refined by him.

All Omega Logic AI agents satisfy the Human Life Model. However, some elements are enhanced or disabled based on the use-case.

Key Components of the Human Life Model

Though many components comprise our existence, six major components are the focus of ALL aspects of conversation and the associated behaviors.

1. Memory – Long-term memory (life experiences), short-term memory (current conversation), and long-term conversation memory (we talked about this in the past).
2. Knowledge – Basic principles, speech skills, and comprehension skills.
3. Awareness – Self-awareness (I know who am I), audience recognition (I know who you are), role awareness (this is my overall purpose), and conversation awareness (I know what you expect from me).
4. Emotions – Mostly determined by the tone of the conversation, unique to each specific response, and expressed through text and voice.
5. Learning – Permanent knowledge acquisition through conversation (I will remember that), teaching, and media consumption.
6. Escalation – Passing of information to another party (human or AI agent) based on the human visitor’s intent (I need someone to contact me) and the AI agent’s need (I do not know how to answer this).

Each of the major components have multiple elements that further define the requirements. Though they are not listed here, they are available upon request.