Autonomous Language Development Using Dialogue-Act Templates and Genetic Programming

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

@Article{Hong:2007:TEC,
  title =        "Autonomous Language Development Using Dialogue-Act
                 Templates and Genetic Programming",
  author =       "Jin-Hyuk Hong and Sungsoo Lim and Sung-Bae Cho",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2007",
  volume =       "11",
  number =       "2",
  pages =        "213--225",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming, belief
                 networks, finite state machines, knowledge acquisition,
                 pattern matching, software agents, Bayesian networks,
                 autonomous language development, autonomous machines,
                 autonomous mental development, behavioural patterns,
                 dialogue-act templates, finite-state machines, genetic
                 programming, intelligent conversational agents,
                 knowledge acquisition, knowledge bases, pattern
                 matching",
  DOI =          "doi:10.1109/TEVC.2006.890265",
  ISSN =         "1089-778X",
  abstract =     "In recent years, the concept of autonomous mental
                 development (AMD) has been applied to the construction
                 of artificial systems such as conversational agents, in
                 order to resolve some of the difficulties involved in
                 the manual definition of their knowledge bases and
                 behavioural patterns. AMD is a new paradigm for
                 developing autonomous machines, which are adaptive and
                 flexible to the environment. Language development, a
                 kind of mental development, is an important aspect of
                 intelligent conversational agents. we propose an
                 intelligent conversational agent and its language
                 development mechanism by putting together five
                 promising techniques: Bayesian networks, pattern
                 matching, finite-state machines, templates, and genetic
                 programming (GP). Knowledge acquisition implemented by
                 finite-state machines and templates, and language
                 learning by GP are used for language development.
                 Several illustrations and usability tests show the
                 usefulness of the proposed developmental conversational
                 agent",
}

Genetic Programming entries for Jin-Hyuk Hong Sung-Soo Lim Sung Bae Cho

Citations