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

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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