- author = "Kory Becker and Justin Gottschlich",
- title = "{AI} Programmer: Autonomously Creating Software Programs Using Genetic Algorithms",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
- year = "2021",
- pages = "1513--1521",
- address = "internet",
- series = "GECCO '21",
- month = jul # " 10-14",
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, machine learning, evolutionary computation, artificial intelligence, genetic algorithm, program synthesis, code generation and optimization, programming languages, Brain-dead",
- isbn13 = "978-1-4503-8351-6",
-
DOI = "
doi:10.1145/3449726.3463125",
- size = "8 pages",
- abstract = "we present AI Programmer, a machine learning (ML) system that can automatically generate full software programs, while requiring only minimal human guidance. At its core, AI Programmer uses a genetic algorithm (GA), coupled with a tightly constrained programming language that minimizes the overhead of its ML search space. Part of AI Programmer's novelty stems from (i) its unique system design, including an embedded, hand-crafted interpreter for efficiency and security and (ii) its augmentation of classic GA to include instruction-gene randomization bindings and programming language-specific genome construction and elimination techniques. We provide a detailed examination of AI Programmer's system design, several examples detailing how the system works, and experimental data demonstrating its software generation capabilities and performance using only mainstream CPUs.",
-
notes = "Bloomberg
See also: BF-Programmer: A Counterintuitive Approach to Autonomously Building Simplistic Programs Using Genetic Algorithms
Also known as \cite{10.1145/3449726.3463125} GECCO-2021 A Recombination of the 30th International Conference on Genetic Algorithms (ICGA) and the 26th Annual Genetic Programming Conference (GP)",
