An argument paper reframes LLM explainability as an embodied, situated practice based on Dourish and enactivist cognition, identifying ontological obstacles in internal explanations and advocating affordance-based designs.
Mortal computation: A foundation for biomimetic intelligence
5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 5verdicts
UNVERDICTED 5representative citing papers
Optimal evidence selection in a quantum-probability model of binary hypothesis testing produces confirmation bias, yielding minimal memory use and exponential error reduction.
Authors introduce the Pursuit of Subspaces (PoS) hypothesis, an axiomatic geometric framework that unifies explanations for representation, computation, and generalization in shallow and deep neural networks.
AI agents lack the persistent identity and feedback mechanisms needed for consequence reception, requiring new architectures or continued human accountability.
Soul Computing is introduced as a framework distinguishing narrow and broad forms for constructing intelligent agents with self-identity via intensional cores, separate from affective computing or virtual humans.
citing papers explorer
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Embodied Explainability and Ontological Obstacles: Why We Struggle to Explain the Answers of Large Language Models (LLMs)
An argument paper reframes LLM explainability as an embodied, situated practice based on Dourish and enactivist cognition, identifying ontological obstacles in internal explanations and advocating affordance-based designs.
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The adaptive nature of confirmation bias
Optimal evidence selection in a quantum-probability model of binary hypothesis testing produces confirmation bias, yielding minimal memory use and exponential error reduction.
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Axiomatizing Neural Networks via Pursuit of Subspaces
Authors introduce the Pursuit of Subspaces (PoS) hypothesis, an axiomatic geometric framework that unifies explanations for representation, computation, and generalization in shallow and deep neural networks.
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Some[Body] Must Receive That Pain for Agent Accountability
AI agents lack the persistent identity and feedback mechanisms needed for consequence reception, requiring new architectures or continued human accountability.
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Soul Computing: A Theoretical Framework and Technical Architecture for Intelligent Agents with Independent Consciousness
Soul Computing is introduced as a framework distinguishing narrow and broad forms for constructing intelligent agents with self-identity via intensional cores, separate from affective computing or virtual humans.