An Optimal, Universal and Agnostic Decoding Method for Message Reconstruction, Bio and Technosignature Detection
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Acceso en línea: | |
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| _version_ | 1866913643178754048 |
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| author | Zenil, Hector Adams, Alyssa Abrahão, Felipe S. Ozelim, Luan |
| author_facet | Zenil, Hector Adams, Alyssa Abrahão, Felipe S. Ozelim, Luan |
| contents | We present an agnostic signal reconstruction method for zero-knowledge one-way communication channels in which a receiver aims to interpret a message sent by an unknown source about which no prior knowledge is available and to which no return message can be sent. Our reconstruction method is agnostic vis-à-vis the arbitrarily chosen encoding-decoding scheme and other observer-dependent characteristics, such as the arbitrarily chosen computational model, probability distributions, or underlying mathematical theory. We investigate how non-random messages encode information about their intended physical properties, such as dimension and length scales of the space in which a signal or message may have been originally encoded, embedded, or generated. We focus on image data as a first illustration of the capabilities of the new method. We argue that our results have applications to life and technosignature detection, and to coding theory in general. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_16045 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | An Optimal, Universal and Agnostic Decoding Method for Message Reconstruction, Bio and Technosignature Detection Zenil, Hector Adams, Alyssa Abrahão, Felipe S. Ozelim, Luan Information Theory Artificial Intelligence We present an agnostic signal reconstruction method for zero-knowledge one-way communication channels in which a receiver aims to interpret a message sent by an unknown source about which no prior knowledge is available and to which no return message can be sent. Our reconstruction method is agnostic vis-à-vis the arbitrarily chosen encoding-decoding scheme and other observer-dependent characteristics, such as the arbitrarily chosen computational model, probability distributions, or underlying mathematical theory. We investigate how non-random messages encode information about their intended physical properties, such as dimension and length scales of the space in which a signal or message may have been originally encoded, embedded, or generated. We focus on image data as a first illustration of the capabilities of the new method. We argue that our results have applications to life and technosignature detection, and to coding theory in general. |
| title | An Optimal, Universal and Agnostic Decoding Method for Message Reconstruction, Bio and Technosignature Detection |
| topic | Information Theory Artificial Intelligence |
| url | https://arxiv.org/abs/2303.16045 |