Liberal Arts and Sciences
Cameron Buckner Research Group
Led by Cameron Buckner · Philosophy
What we study
Dr. Buckner works on the philosophy of cognitive science, mind and artificial intelligence, especially what deep neural networks can tell us about abstraction and reasoning, and how they compare with human and animal minds.
What working here is like
- Reading, writing & theory
- Papers
- 5
Recent papers, explained
- The Philosophy of Language Models
2026 · Philosophy Compass
Debates philosophical views on language and cognition in LLMs.
- The Talking of the Bot with Itself
2026 · Oxford University Press eBooks
Explores using LLMs as components in cognitive architectures to enhance flexibility.
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- Beyond Labels: Training Cognitive Empathy with Context-Rich Synthetic Dialogues
2026 · UF Journal of Undergraduate Research
Creates a synthetic dialogue dataset to train cognitive empathy in LLMs.
- Interventionist methods for interpreting deep neural networks
2025 · Routledge eBooks
Examines interventionist methods to interpret deep neural networks, focusing on causal explanations for their performance.
- “Captured” by centaur: Opaque predictions or process insights?
2025 · Journal of Experimental Psychology Animal Learning and Cognition
Tests whether a new computational model better captures human behavior than alternatives, aiming to develop a unified theory of cognition.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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