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arXiv:1511.08130cs.AI

A Roadmap towards Machine Intelligence

Tomas Mikolov, Armand Joulin, Marco Baroni

Abstract

The development of intelligent machines is one of the biggest unsolved challenges in computer science. In this paper, we propose some fundamental properties these machines should have, focusing in particular on communication and learning. We discuss a simple environment that could be used to incrementally teach a machine the basics of natural-language-based communication, as a prerequisite to more complex interaction with human users. We also present some conjectures on the sort of algorithms the machine should support in order to profitably learn from the environment.

arXiv comments
Journal reference
DOI
Subjects
cs.AIArtificial Intelligence cs.CLComputation and Language

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Dec 2015 to Jul 2016. Found in 1 HN submission from Nov 2015 to Nov 2015. Open submission discussions.

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  1. How AI based programming could work 1 comment

    • The author proposes a lot of vague ideas in this article (for example "I believe one of the biggest problems is the use of Error Propagation and Gradient Descent") without references or any solid proofs why they are necessary to solve the proposed program (Automate programming…

      sapphireblueView on HNParent context

  2. Ask HN: Papers you read in 2015? 1 comment

    • * Program design in the UNIX environment (1984): http://harmful.cat-v.org/cat-v/unix_prog_design.pdf Glipse into unix essentials. Do one thing well on an example so you'll never forget it again. Doing less requires more care and attention to detail. * From Frequency to Meaning…

      mtrnView on HNParent context

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