# Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI

**Authors:** André Platzer  
**arXiv:** [2406.11563](https://arxiv.org/abs/2406.11563)  
**Date:** 2024-06-17  
**Summary page:** https://www.summarizepaper.com/en/paper/2406.11563v3/

## Key points

- Intersymbolic AI combines symbolic AI and subsymbolic AI to enhance artificial intelligence effectiveness
- Symbolic AI focuses on building blocks with inherent significance, while subsymbolic AI creates significance through components as a whole
- Intersymbolic AI leverages insights from both realms to offer a more comprehensive approach
- Symbolic AI includes logic, games, and planning; subsymbolic AI includes (un)supervised machine learning and reinforcement learning
- Integrating symbolic principles into subsymbolic techniques enhances artificial intelligence capabilities
- Intersymbolic AI showcases various combinations of symbolic and subsymbolic techniques across diverse applications
- It serves as a metaprinciple providing a common methodological framework for researchers in advancing artificial intelligence
- Ongoing research efforts aim to harness the full potential of intersymbolic AI for further advancements in the field

## Summary

Intersymbolic AI: Enhancing Artificial Intelligence through the Integration of Symbolic and Subsymbolic Techniques

Intersymbolic AI is a new and promising field that combines the strengths of symbolic AI and subsymbolic AI. Symbolic AI focuses on building blocks with inherent significance and meaning, while subsymbolic AI creates significance and effect through its components as a whole. By bridging these two realms, Intersymbolic AI leverages insights from both to enhance the effectiveness of artificial intelligence. Symbolic AI encompasses logic, games, and planning while subsymbolic AI includes (un)supervised machine learning and reinforcement learning. Each approach has its own distinct features rooted in symbolism or sub-symbolism respectively. However, by integrating symbolic principles into subsymbolic techniques, Intersymbolic AI offers a more comprehensive approach to artificial intelligence. The potential of Intersymbolic AI can be likened to how combining conscious and subconscious thought improves human cognition. It showcases various combinations of symbolic and subsymbolic techniques across diverse applications. This scientific diversity highlights the significance of Intersymbolic AI as a metaprinciple that provides a common methodological framework for researchers to explore new possibilities in advancing artificial intelligence. As ongoing research efforts continue to harness the full potential of intersymbolic AI, there is optimism for further advancements in this emerging field. The call to action for exploring intersymbolic AI as a means to enhance the effectiveness of artificial intelligence is clear - it holds great promise for improving our understanding and utilization of this powerful technology.