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Theory Is All You Need: AI, Human Cognition, and Causal Reasoning

117
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December 1, 2024
Published Date

Research Abstract & Technology Focus

Scholars argue that artificial intelligence (AI) can generate genuine novelty and new knowledge and, in turn, that AI and computational models of cognition will replace human decision making under uncertainty. We disagree. We argue that AI’s data-based prediction is different from human theory-based causal logic and reasoning. We highlight problems with the decades-old analogy between computers and minds as input–output devices, using large language models as an example. Human cognition is better conceptualized as a form of theory-based causal reasoning rather than AI’s emphasis on information processing and data-based prediction. AI uses a probability-based approach to knowledge and is largely backward looking and imitative, whereas human cognition is forward-looking and capable of generating genuine novelty. We introduce the idea of data–belief asymmetries to highlight the difference between AI and human cognition, using the example of heavier-than-air flight to illustrate our arguments. Theory-based causal reasoning provides a cognitive mechanism for humans to intervene in the world and to engage in directed experimentation to generate new data. Throughout the article, we discuss the implications of our argument for understanding the origins of novelty, new knowledge, and decision making under uncertainty.
theory human cognition causal reasoning
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What is the core focus of the research titled 'Theory Is All You Need: AI, Human Cognition, and Causal Reasoning'?

This literature focuses on: Scholars argue that artificial intelligence (AI) can generate genuine novelty and new knowledge and, in turn, that AI and computational models of cognition will replace human decision making under uncertainty. We disagree. We argue that AI’s data-...

Are there open-source GitHub repositories related to Theory Is All You Need: AI, Human Cognition, and Causal Reasoning?

Yes, open-source projects like slowmist/openclaw-security-practice-guide (This guide is designed for OpenClaw itself (Agent-facing), not as a traditional human-only hardening checklist.) are actively building upon these concepts.

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Products like Offsite are bringing this to market. Their focus is: Build teams of humans and agents, watch them work..

What other academic literature is closely related to 'Theory Is All You Need: AI, Human Cognition, and Causal Reasoning'?

Yes, highly correlated activity was mapped. An entry titled 'Theory Is All You Need: AI, Human Cognition, and Causal Reasoning' discusses this: Scholars argue that artificial intelligence (AI) can generate genuine novelty and new knowledge and, in turn, that AI and computational models of c...

Are there commercial applications of 'Theory Is All You Need: AI, Human Cognition, and Causal Reasoning' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Causal Structure' discusses this: Research is exploring global causality constraints in modified gravity theories, indicating fundamental physics advancements. Concurrently, AI agen...

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