Definition
A reasoning technique where an AI agent evaluates hypothetical scenarios by perturbing variables in the retrieved context to observe how changes would affect the outcome; this improves hallucination detection and decision robustness but increases architectural latency and token consumption due to redundant inference cycles.
Distinct from standard logic, it simulates 'what would happen if X were false' rather than just processing what is currently true.
"The Multiverse Map: A decision tree where the agent explores parallel timelines by swapping out a single piece of evidence to see if the conclusion still holds."
- Hallucination Detection(Primary Application)
- Chain-of-Thought (CoT)(Prerequisite)
- Causal Inference(Theoretical Foundation)
Conceptual Overview
A reasoning technique where an AI agent evaluates hypothetical scenarios by perturbing variables in the retrieved context to observe how changes would affect the outcome; this improves hallucination detection and decision robustness but increases architectural latency and token consumption due to redundant inference cycles.
Disambiguation
Distinct from standard logic, it simulates 'what would happen if X were false' rather than just processing what is currently true.
Visual Analog
The Multiverse Map: A decision tree where the agent explores parallel timelines by swapping out a single piece of evidence to see if the conclusion still holds.