• DocumentCode
    3696068
  • Title

    Ant-FOIL: Integrating Ant Colony System and FOIL

  • Author

    Chenyang Yan

  • Author_Institution
    Ningbo City Coll. of Vocational Technol., Ningbo, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    559
  • Lastpage
    562
  • Abstract
    A novel and simple combination of inductive logic programming with swarm intelligence is presented. The Ant-FOIL tightly integrates the well-known inductive logic programming rule-learner FOIL with Ant Colony System meta-heuristic. The hypotheses construction is guided by the ACS stochastic local decision policy depends on pheromone and heuristic information. Experiments in applying Ant-FOIL to well-known benchmarks shows that Ant-FOIL performs better than either its baseline algorithm (FOIL), and is at the same time competitive with more sophisticated approaches (kFOIL, nFOIL and Aleph).
  • Keywords
    "Lattices","Accuracy","Prediction algorithms","Logic programming","Benchmark testing","Alzheimer´s disease","Cities and towns"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
  • Print_ISBN
    978-1-4799-8645-3
  • Type

    conf

  • DOI
    10.1109/IHMSC.2015.20
  • Filename
    7334769