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Related Questions
- How do the limitations of situated cognition influence the ability of AI models to adapt to new environments and scenarios?
- Can you explain the relationship between situated cognition and AI transfer learning, and how it affects generalizability?
- What are some strategies that AI developers can use to address the limitations of situated cognition and improve AI generalizability?
- How do situated cognition's limitations impact the performance of AI models in real-world applications, such as robotics and autonomous vehicles?
- Can situated cognition's limitations be addressed through the use of multi-modal learning and fusion of multiple AI models?
- What role does situated cognition play in shaping the cognitive biases of AI models, and how can these biases be mitigated?
- How can AI developers balance the need for situational specificity with the need for generalizability in AI models, particularly in dynamic and uncertain environments?
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