About this document
Intelligence Fusion Survey Light by jhkim17 is a document available to read on EtoBox.
This survey explores the evolution of relational reasoning and intelligence fusion architectures in AI, tracing the progression from symbolic AI to contemporary LLM systems. It introduces a six-dimensional taxonomy for evaluating methodologies based on relation representation, evidence aggregation, reasoning depth, temporality, explainability, and architectural patterns. The document identifies gaps in current systems and proposes a reference architecture for future intelligence fusion systems focused on pe
- Author
- jhkim17
- Language
- EN