TL;DR
This paper explores the intriguing possibility that two Turing Machines can answer questions about each other that they cannot answer about themselves, revealing new insights into computational self-reference.
Contribution
It introduces a novel theoretical framework analyzing mutual question-answering capabilities of Turing Machines.
Findings
Demonstrates limitations of self-referential questions
Shows potential for mutual computation to surpass individual capabilities
Provides new perspectives on Turing Machine limitations
Abstract
Two Turing Machines may be able to answer questions about each other that they cannot answer about themselves.
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Taxonomy
TopicsComputability, Logic, AI Algorithms