Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/seal/WangBA10,
  title =        "Evolving Stories: Tree Adjoining Grammar Guided
                 Genetic Programming for Complex Plot Generation",
  author =       "Kun Wang and Vinh Bui and Hussein A. Abbass",
  booktitle =    "Simulated Evolution and Learning - 8th International
                 Conference, {SEAL} 2010, Kanpur, India, December 1-4,
                 2010. Proceedings",
  publisher =    "Springer",
  year =         "2010",
  volume =       "6457",
  editor =       "Kalyanmoy Deb and Arnab Bhattacharya and 
                 Nirupam Chakraborti and Partha Chakroborty and Swagatam Das and 
                 Joydeep Dutta and Santosh K. Gupta and Ashu Jain and 
                 Varun Aggarwal and J{\"u}rgen Branke and 
                 Sushil J. Louis and Kay Chen Tan",
  isbn13 =       "978-3-642-17297-7",
  pages =        "135--145",
  series =       "Lecture Notes in Computer Science",
  URL =          "http://dx.doi.org/10.1007/978-3-642-17298-4",
  DOI =          "doi:10.1007/978-3-642-17298-4_14",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "in this paper, we develop a tree adjoining grammar
                 (TAG) to capture semantics of a story with
                 long-distance causal dependency, and present a
                 computational framework for story plot generation.
                 Under this framework, TAG is derived and a story plot
                 is represented by a derivation tree of TAG. The
                 generated plots are then evolved using grammar guided
                 genetic programming (GGGP) to generate creative,
                 interesting and complex story plots. To evaluate these
                 newly generated plots, a human-in-the-loop approach is
                 used. An experimental study was carried out, in which
                 this framework was used to produce creative,
                 interesting and complex plots from a predesigned fabula
                 based on a story known as 'The magpie and the water
                 bottle'. The experimental study demonstrated that TAG
                 and GGGP can potentially contribute significantly to
                 complex automatic story plot generation.",
  bibdate =      "2010-12-01",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/seal/seal2010.html#WangBA10",
}

Genetic Programming entries for Kun Wang Vinh Bui Hussein A Abbass

Citations