Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages

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@InProceedings{conf/agi/BatishchevaP15,
  author =       "Vita Batishcheva and Alexey Potapov",
  title =        "Genetic Programming on Program Traces as an Inference
                 Engine for Probabilistic Languages",
  booktitle =    "Proceedings of the 8th International Conference
                 Artificial General Intelligence, AGI 2015",
  year =         "2015",
  editor =       "Jordi Bieger and Ben Goertzel and Alexey Potapov",
  volume =       "9205",
  series =       "Lecture Notes in Computer Science",
  pages =        "14--24",
  address =      "Berlin, Germany",
  month =        jul # " 22-25",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Probabilistic
                 programming, Program traces",
  isbn13 =       "978-3-319-21364-4",
  bibdate =      "2015-07-16",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/agi/agi2015.html#BatishchevaP15",
  URL =          "http://dx.doi.org/10.1007/978-3-319-21365-1",
  DOI =          "doi:10.1007/978-3-319-21365-1_2",
  abstract =     "Methods of simulated annealing and genetic programming
                 over probabilistic program traces are developed
                 firstly. These methods combine expressiveness of
                 Turing-complete probabilistic languages, in which
                 arbitrary generative models can be defined, and search
                 effectiveness of meta-heuristic methods. To use these
                 methods, one should only specify a generative model of
                 objects of interest and a fitness function over them
                 without necessity to implement domain-specific genetic
                 operators or mappings from objects to and from bit
                 strings. On the other hand, implemented methods showed
                 better quality than the traditional mh-query on several
                 optimization tasks. Thus, these results can contribute
                 to both fields of genetic programming and probabilistic
                 programming.",
}

Genetic Programming entries for Vita Batishcheva Alexey Potapov

Citations