arc.bib

@article{chollet_measure_2019,
	title = {On the {Measure} of {Intelligence}},
	url = {http://arxiv.org/abs/1911.01547},
	abstract = {To make deliberate progress towards more intelligent and more human-like artificial systems, we need to be following an appropriate feedback signal: we need to be able to define and evaluate intelligence in a way that enables comparisons between two systems, as well as comparisons with humans. Over the past hundred years, there has been an abundance of attempts to define and measure intelligence, across both the fields of psychology and AI. We summarize and critically assess these definitions and evaluation approaches, while making apparent the two historical conceptions of intelligence that have implicitly guided them. We note that in practice, the contemporary AI community still gravitates towards benchmarking intelligence by comparing the skill exhibited by AIs and humans at specific tasks such as board games and video games. We argue that solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience: unlimited priors or unlimited training data allow experimenters to "buy" arbitrary levels of skills for a system, in a way that masks the system's own generalization power. We then articulate a new formal definition of intelligence based on Algorithmic Information Theory, describing intelligence as skill-acquisition efficiency and highlighting the concepts of scope, generalization difficulty, priors, and experience. Using this definition, we propose a set of guidelines for what a general AI benchmark should look like. Finally, we present a benchmark closely following these guidelines, the Abstraction and Reasoning Corpus (ARC), built upon an explicit set of priors designed to be as close as possible to innate human priors. We argue that ARC can be used to measure a human-like form of general fluid intelligence and that it enables fair general intelligence comparisons between AI systems and humans.},
	urldate = {2020-06-18},
	journal = {arXiv:1911.01547 [cs]},
	author = {Chollet, François},
	month = nov,
	year = {2019},
	note = {arXiv: 1911.01547},
	keywords = {Computer Science - Artificial Intelligence},
	file = {arXiv.org Snapshot:/home/deadhand/Zotero/storage/8NTJ29TC/1911.html:text/html;arXiv Fulltext PDF:/home/deadhand/Zotero/storage/C6U38W4L/Chollet - 2019 - On the Measure of Intelligence.pdf:application/pdf}
}

@article{legg_collection_2007,
	title = {A {Collection} of {Definitions} of {Intelligence}},
	url = {http://arxiv.org/abs/0706.3639},
	abstract = {This paper is a survey of a large number of informal definitions of ``intelligence'' that the authors have collected over the years. Naturally, compiling a complete list would be impossible as many definitions of intelligence are buried deep inside articles and books. Nevertheless, the 70-odd definitions presented here are, to the authors' knowledge, the largest and most well referenced collection there is.},
	urldate = {2020-07-04},
	journal = {arXiv:0706.3639 [cs]},
	author = {Legg, Shane and Hutter, Marcus},
	month = jun,
	year = {2007},
	note = {arXiv: 0706.3639},
	keywords = {Computer Science - Artificial Intelligence},
	annote = {Comment: 12 LaTeX pages},
	file = {arXiv Fulltext PDF:/home/deadhand/Zotero/storage/L5YYV7SB/Legg and Hutter - 2007 - A Collection of Definitions of Intelligence.pdf:application/pdf;arXiv.org Snapshot:/home/deadhand/Zotero/storage/LJ94NKLC/0706.html:text/html}
}

@book{minsky_society_1988,
	address = {New York},
	edition = {First Edition edition},
	title = {The {Society} of {Mind}},
	isbn = {978-0-671-65713-0},
	abstract = {Marvin Minsky -- one of the fathers of computer science and cofounder of the Artificial Intelligence Laboratory at MIT -- gives a revolutionary answer to the age-old question: "How does the mind work?"  Minsky brilliantly portrays the mind as a "society" of tiny components that are themselves mindless. Mirroring his theory, Minsky boldly casts The Society of Mind as an intellectual puzzle whose pieces are assembled along the way. Each chapter -- on a self-contained page -- corresponds to a piece in the puzzle. As the pages turn, a unified theory of the mind emerges, like a mosaic. Ingenious, amusing, and easy to read, The Society of Mind is an adventure in imagination.},
	language = {English},
	publisher = {Simon \& Schuster},
	author = {Minsky, Marvin},
	month = mar,
	year = {1988}
}

@misc{noauthor_1st_nodate,
	title = {1st place solution + code and official documentation {\textbar} {Kaggle}},
	url = {https://www.kaggle.com/c/abstraction-and-reasoning-challenge/discussion/154597},
	urldate = {2020-07-04},
	file = {1st place solution + code and official documentation | Kaggle:/home/deadhand/Zotero/storage/ALEZVPKN/154597.html:text/html}
}

@book{mccorduck_machines_2004,
	address = {Natick, Mass},
	edition = {2 edition},
	title = {Machines {Who} {Think}},
	isbn = {978-1-56881-205-2},
	abstract = {This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.},
	language = {English},
	publisher = {Routledge},
	author = {McCorduck, Pamela},
	month = mar,
	year = {2004}
}

@misc{noauthor_abstraction_nodate,
	title = {Abstraction and {Reasoning} {Challenge}},
	url = {https://kaggle.com/c/abstraction-and-reasoning-challenge},
	abstract = {Create an AI capable of solving reasoning tasks it has never seen before},
	language = {en},
	urldate = {2020-07-05},
	note = {Library Catalog: www.kaggle.com},
	file = {Snapshot:/home/deadhand/Zotero/storage/LYVATFTB/154305.html:text/html}
}

@misc{noauthor_abstraction_nodate-1,
	title = {Abstraction and {Reasoning} {Challenge}},
	url = {https://kaggle.com/c/abstraction-and-reasoning-challenge},
	abstract = {Create an AI capable of solving reasoning tasks it has never seen before},
	language = {en},
	urldate = {2020-07-05},
	note = {Library Catalog: www.kaggle.com},
	file = {Snapshot:/home/deadhand/Zotero/storage/NQBFU7YN/154391.html:text/html}
}