تقرير
Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
العنوان: | Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction |
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المؤلفون: | Arcas, Blaise Agüera y, Alakuijala, Jyrki, Evans, James, Laurie, Ben, Mordvintsev, Alexander, Niklasson, Eyvind, Randazzo, Ettore, Versari, Luca |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, F.2.2, I.2.11 |
الوصف: | The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature of most substrates where life emerges is a marked shift in dynamics when self-replication appears. While there are some hypotheses regarding how self-replicators arose in nature, we know very little about the general dynamics, computational principles, and necessary conditions for self-replicators to emerge. This is especially true on "computational substrates" where interactions involve logical, mathematical, or programming rules. In this paper we take a step towards understanding how self-replicators arise by studying several computational substrates based on various simple programming languages and machine instruction sets. We show that when random, non self-replicating programs are placed in an environment lacking any explicit fitness landscape, self-replicators tend to arise. We demonstrate how this occurs due to random interactions and self-modification, and can happen with and without background random mutations. We also show how increasingly complex dynamics continue to emerge following the rise of self-replicators. Finally, we show a counterexample of a minimalistic programming language where self-replicators are possible, but so far have not been observed to arise. Comment: 20 pages; updated introduction with further related work |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2406.19108 |
رقم الأكسشن: | edsarx.2406.19108 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |