Summary of Can a Cognitive Architecture Fundamentally Enhance Llms? or Vice Versa?, by Ron Sun
Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?
by Ron Sun
First submitted to arxiv on: 19 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research aims to address the limitations of current large language model (LLM)-centered artificial intelligence (AI) systems by incorporating insights from human cognition and psychology into their design. By leveraging a computational cognitive architecture that reflects dual-process thinking, hybrid neuro-symbolic approaches can be developed that are more capable, reliable, and human-like. The study highlights the need for an overhaul of current architectures to better reflect advances in AI and computing technology. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper talks about how we can make computers smarter by understanding how humans think. It suggests using a special way of thinking called dual-process thinking to create AI that is more like us. This means combining the best parts of human psychology with powerful computer systems. The goal is to create AI that is not just good at doing tasks, but also understands and learns from its experiences. |
Keywords
» Artificial intelligence » Large language model
