Behavior Trees (BTs) have emerged as a critical framework for organising decision-making processes in both robotics and artificial intelligence. Initially developed for computer game artificial ...

As models created by humans, they have reasoning behind them. The researchers’ models generalize behavior from several thousand trees’ worth of input data that became encoded within the AI.

Normally, this is handled through behavior trees that layer variables and branching possibilities. But in this demo, the AI behavior is driven by a machine-learning model.

To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.