Learning Ant Foraging Behaviors

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Liviu A. Panait and Sean Luke",
  title =        "Learning Ant Foraging Behaviors",
  booktitle =    "Artificial Life {XI} Ninth International Conference on
                 the Simulation and Synthesis of Living Systems",
  year =         "2004",
  editor =       "Jordan Pollack and Mark Bedau and Phil Husbands and 
                 Takashi Ikegami and Richard A. Watson",
  pages =        "575--580",
  address =      "Boston, Massachusetts",
  month =        "12-15 " # sep,
  publisher =    "The MIT Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-66183-7",
  URL =          "http://www.cs.gmu.edu/~sean/papers/panait04learning.pdf",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6278777",
  size =         "6 pages",
  abstract =     "Insects are good at cooperatively solving many complex
                 tasks. For example, foraging for food far away from a
                 nest can be solved through relatively simple behaviours
                 in combination with pheromones. As task complexity
                 increases, however, it may become difficult to find
                 individual agent rules which yield a desired emergent
                 cooperative behavior, or to know if any such rules
                 exist at all. For such tasks, machine learning
                 techniques like evolutionary computation (EC) may prove
                 a valuable approach to searching the space of possible
                 rule combinations. This paper presents an application
                 of genetic programming to search for foraging
                 behaviours. The learnt foraging behaviours use only
                 pheromone information to find the path to the nest and
                 to the food source.",
  notes =        "ALIFE9",

Genetic Programming entries for Liviu Panait Sean Luke