title: Programming languages and artificial general intelligence
metadata.name: dc.contributor.author
metadata.value: Khudobakhshov, V. A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Pitko, A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Zotov, D.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2015-08-27T19:59:51Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2015-08-27T19:59:51Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2015
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/1709
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Despite the fact that there are thousands of programming
  languages existing there is a huge controversy about what language is
  better to solve a particular problem. In this paper we discuss requirements
  for programming language with respect to AGI research. In this article
  new language will be presented. Unconventional features (e.g. probabilistic
  programming and partial evaluation) are discussed as important
  parts of language design and implementation. Besides, we consider possible
  applications to particular problems related to AGI. Language interpreter
  for Lisp-like probabilistic mixed paradigm programming language
  is implemented in Haskell.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Artificial General Intelligence;2015
metadata.lang: -
metadata.name: dc.title
metadata.value: Programming languages and artificial general intelligence
metadata.lang: en_GB
resources.filename: agi15_khudobakhshov.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/1709/1/agi15_khudobakhshov.pdf
resources.format: Adobe PDF
resources.size: 158,32 kB