Relational analogical aspect

The relational analogical aspect refers to the cognitive process of recognizing relationships between different concepts and forming analogies. This is essential in both human language and artificial intelligence (AI) models. Here are some insights based on expert discussions:

1. Analogical Reasoning in Language:

   • Analogies are vital for understanding and communication. For example, the metaphor "on top of the world" conveys happiness effectively, even if someone hasn't heard it before. This demonstrates how our brains utilize analogical reasoning naturally 1.
   • AI models, like Bing Chat, have shown remarkable abilities to create analogies between seemingly unrelated concepts. An illustrative example is creating a comparison table between a Nokia phone and Jesus Christ, highlighting features like "indestructibility" and "resurrection" 1.

2. Limitations in Deep Learning:

   • Deep learning models often struggle with relational analogical reasoning compared to humans. Humans can discern relationships with a few examples, whereas models may require much more data or might fail entirely. This limitation is pointed out by experts who suggest that deep learning may not be the best paradigm for tasks requiring such reasoning 2.
   • In human psychology, the ability to learn rules and generalize them is present even before language acquisition, which current AI tools struggle to replicate efficiently 2.

These insights highlight the cognitive complexity of analogical reasoning and its challenges in AI, emphasizing the need for more advanced or different approaches to mimic human relational analogical capabilities.