John von Neumann's Cellular Automata | Embryo Project Encyclopedia
webHistorical background on von Neumann's cellular automata, relevant to understanding theoretical foundations of self-replication and self-improvement — concepts with long-term implications for AI safety and recursive self-improvement concerns.
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Summary
This article from the Embryo Project Encyclopedia provides an overview of John von Neumann's pioneering work on cellular automata, describing how he developed self-replicating automata models in the late 1940s and early 1950s. Von Neumann's work laid foundational groundwork for understanding self-replication, computation, and complex systems, influencing fields from artificial life to theoretical computer science. His cellular automata models explored how simple rules can give rise to complex, self-reproducing behavior.
Key Points
- •Von Neumann developed cellular automata in the late 1940s to study self-replication and universal computation, inspired by biological organisms.
- •His 29-state cellular automaton was the first formal model demonstrating that a machine could reproduce itself, a foundational concept in artificial life.
- •The work was influenced by collaboration with Stanislaw Ulam and informed by earlier theoretical work on computation by Alan Turing.
- •Cellular automata became a foundational framework for studying emergent complexity, relevant to understanding intelligence and adaptive systems.
- •Von Neumann's models have long-term relevance to AI safety discussions about self-replicating and self-improving systems.
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# John von Neumann's Cellular Automata
Published: **2010-06-14**
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John von Neumann’s Cellular Automata
Cellular automata (CA) are mathematical models used to simulate complex systems or processes. In several fields, including biology, physics, and chemistry, CA are employed to analyze phenomena such as the growth of plants,
DNA evolution, and
embryogenesis. In the 1940s
John von Neumann formalized the idea of cellular automata in order to create a theoretical model for a self-reproducing machine. Von Neumann’s work was motivated by his attempt to understand biological evolution and self-reproduction.
In 1948, von Neumann set out to describe a model of a self-reproducing machine in a paper called “The General and Logical Theory of Automata” that he wrote for the Hixon Symposium. He had not yet conceived of cellular automata and could not completely solve the problem of how, in theory, a machine could self-reproduce. Only after the suggestion by his colleague
Stanislaw Ulam to use a cell-based concept, was von Neumann able to formulate a model for a machine that was fully capable of self-reproduction. This theoretical model is based on the concept of cellular automata. Von Neumann describes it in his book
_Theory of Self-Reproducing Automata_, which was completed and published after his death by Arthur Walter Burks in 1966.
A cellular automaton is a theoretical machine that consists of elements called cells. Each cell has a value, or state, and is connected to certain neighboring cells so that they form a one- or multidimensional lattice. The states of the cells change at discrete time-steps. The new state of a cell is computed from the previous states of the connected neighboring cells using predefined rules. In _Theory of Self-Reproducing Automata_, von Neumann described a cellular automaton with twenty-nine possible states for each cell and in which every cell is connected to the cell above, below, left, and right (called a “von Neumann” neighborhood). He proved that the dynamics exhibited by such a cellular automaton are similar to the biological processes involved in self-reproduction and evolution. Other cellular automata were developed, for instance by
Edgar Frank Codd in 1968, with different numbers of possible states, connected neighbors, and the rules used to calculate new states.
In his first model of a self-reproducing machine, described in 1948, von Neumann dealt with the information in the model in two ways. First, the information was interpreted by the self-reproducing machine and used as instructions to build a copy of the machine. Second, the information was not interpreted but was copied and given to the newly built machine. This handling of information is analogous to the use of DNA in the reproduction process of living cells. To replicate itself, a living cell copies the DNA and then uses the DNA as instructions to create a new cell via cell division, while the copy of the DNA is given to the new cell. Remarkably,,vo
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