Summary of Building Artificial Intelligence with Creative Agency and Self-hood, by Liane Gabora and Joscha Bach
Building Artificial Intelligence with Creative Agency and Self-hood
by Liane Gabora, Joscha Bach
First submitted to arxiv on: 9 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Neurons and Cognition (q-bio.NC)
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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 formal framework of autocatalytic networks provides a means of modeling the origins of self-organizing structures that can reproduce and evolve. This approach can be used to analyze complex networks that have been intractable with other methods, offering a promising avenue to building autonomous AI systems. These systems would possess creative agency and undergo internal transformation through engagement in creative tasks, potentially solidifying their self-identity. The paper suggests a connection between the origins of biological evolution, cultural evolution, and artificial intelligence. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how autocatalytic networks can help us understand how complex structures, like organisms or AI systems, can emerge and evolve. It shows that these networks can be used to analyze really complicated systems that are hard to study using other methods. The paper also suggests that if we build an autonomous AI system using this approach, it might have the ability to create new things and change its own internal state through creative activities. |
