Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption

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

@InProceedings{liu:2003:gecco,

• author = "Hongwei Liu and Hitoshi Iba",
• title = "Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption",
• booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
• editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller",
• year = "2003",
• pages = "1715--1728",
• address = "Chicago",
• publisher_address = "Berlin",
• month = "12-16 " # jul,
• volume = "2724",
• series = "LNCS",
• ISBN = "3-540-40603-4",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.iba.k.u-tokyo.ac.jp/papers/2003/lhwGECCO2003.pdf",
• DOI = "doi:10.1007/3-540-45110-2_64",
• abstract = "Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. This paper presents the emergence of cooperative behaviors of heterogeneous robots by means of GP. Since directly using GP to generate a controller for complex behaviors is inefficient and intractable, especially in the domain of multi-robot systems, we propose an approach called Evolutionary Subsumption, which applies GP to subsumption architecture. We test our approach in an {"}eye{"}-{"}hand{"} cooperation problem. By comparing our approach with direct GP and artificial neural network (ANN) approaches, our experimental results show that ours is more efficient in emergence of complex behaviors.",
• notes = "GECCO-2003. A joint meeting of the twelfth International Conference on Genetic Algorithms (ICGA-2003) and the eighth Annual Genetic Programming Conference (GP-2003)",

}

Genetic Programming entries for Hongwei Liu Hitoshi Iba

Citations