Summary of Computational Thought Experiments For a More Rigorous Philosophy and Science Of the Mind, by Iris Oved et al.
Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind
by Iris Oved, Nikhil Krishnaswamy, James Pustejovsky, Joshua Hartshorne
First submitted to arxiv on: 14 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research proposes a novel approach to cognitive science called Virtual World Cognitive Science (VW CogSci), which utilizes virtual embodied agents in simulated environments to investigate fundamental questions about mental and linguistic representation. By developing computational models that mimic human cognition, researchers can rigorously test philosophical thought experiments and refine our understanding of complex psychological phenomena. The method offers a unique perspective on the dynamics between entities within minds and their surroundings, eliminating the need for ambiguous terminology like “beliefs” and “concepts.” Instead, it focuses on individual cognizers’ mental tokens and representations. This innovative approach has far-reaching implications for cognitive science and its applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Researchers are exploring new ways to study how we think and communicate. One idea is to use virtual agents in fake worlds to learn more about how our minds work. By creating computer models that mimic human thought, scientists can test big questions about how we understand the world. This method helps get rid of confusing language like “beliefs” and “concepts.” Instead, it looks at what’s inside each person’s mind. This new approach could help us better understand how our minds work and even improve artificial intelligence. |
