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Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind

arXiv 2405.08304 ↗First posted 14 May 2024cs.CL cs.AI q-bio.NCcited by 0

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Abstract (arXiv)

We offer philosophical motivations for a method we call Virtual World Cognitive Science (VW CogSci), in which researchers use virtual embodied agents that are embedded in virtual worlds to explore questions in the field of Cognitive Science. We focus on questions about mental and linguistic representation and the ways that such computational modeling can add rigor to philosophical thought experiments, as well as the terminology used in the scientific study of such representations. We find that this method forces researchers to take a god's-eye view when describing dynamical relationships between entities in minds and entities in an environment in a way that eliminates the need for problematic talk of belief and concept types, such as the belief that cats are silly, and the concept CAT, while preserving belief and concept tokens in individual cognizers' minds. We conclude with some further key advantages of VW CogSci for the scientific study of mental and linguistic representation and for Cognitive Science more broadly.

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References · 9

  1. 2023Visual Instruction Tuningcited by 7,869
  2. 2016OpenAI Gymcited by 1,736
  3. 2023LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understandingcited by 274
  4. 2024Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understandingcited by 12
  5. 2016VoxML: A Visualization Modeling Languagecited by 6
  6. 2023Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulationscited by 6
  7. 2024Exploring Failure Cases in Multimodal Reasoning About Physical Dynamicscited by 5
  8. 2022Detecting and Accommodating Novel Types and Concepts in an Embodied Simulation Environmentcited by 3
  9. 2019Situational Grounding within Multimodal Simulationscited by 1

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