Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristics
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Georgiev:2018:GECCOcompa,
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author = "Milen Georgiev and Ivan Tanev and
Katsunori Shimohara",
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title = "Exploration of the effect of uncertainty in
homogeneous and heterogeneous multi-agent societies
with regard to their average characteristics",
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booktitle = "Workshop on Evolutionary Algorithms for Problems with
Uncertainty, GECCO '18: Proceedings of the Genetic and
Evolutionary Computation Conference Companion",
-
year = "2018",
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editor = "Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and
Shigeru Obayashi and Bogdan Filipic and
Thomas Bartz-Beielstein and Grant Dick and
Masaharu Munetomo and Silvino {Fernandez Alzueta} and Thomas Stuetzle and
Pablo Valledor Pellicer and Manuel Lopez-Ibanez and
Daniel R. Tauritz and Pietro S. Oliveto and
Thomas Weise and Borys Wrobel and Ales Zamuda and
Anne Auger and Julien Bect and Dimo Brockhoff and
Nikolaus Hansen and Rodolphe {Le Riche} and Victor Picheny and
Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and
Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and
Richard Duro and Joshua Auerbach and
Harold {de Vladar} and Antonio J. Fernandez-Leiva and JJ Merelo and
Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and
Francisco {Chavez de la O} and Ozgur Akman and
Khulood Alyahya and Juergen Branke and Kevin Doherty and
Jonathan Fieldsend and Giuseppe Carlo Marano and
Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and
Stefan Wagner and Michael Affenzeller and
Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and
Riyad Alshammari and Tokunbo Makanju and
Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and
John R. Woodward and Shin Yoo and John McCall and
Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and
Masaya Nakata and Anthony Stein and
Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and
Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and
Robert M. Patton and William {La Cava} and
Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and
Ivanoe {De Falco} and Antonio {Della Cioppa} and
Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and
Giovanni Iacca and Ahmed Hallawa and Anil Yaman and
Alma Rahat and Handing Wang and Yaochu Jin and
David Walker and Richard Everson and Akira Oyama and
Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and
Pramudita Satria Palar",
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isbn13 = "978-1-4503-5764-7",
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pages = "1797--1804",
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address = "Kyoto, Japan",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = "15-19 " # jul,
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organisation = "SIGEVO",
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keywords = "genetic algorithms, genetic programming",
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DOI = "
doi:10.1145/3205651.3208259",
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abstract = "In electrical engineering, the deviation from average
values of a signal is viewed as noise to the useful
measurement. In human societies, however, the diversity
of the exhibited characteristics are a sign of
individuality and personal worth. We investigate the
effect of uncertainty variables in the environment on
multi-agent societies (MAS) and the consequences of the
deviation, from the average features of the modelled
agents. We show the performance of heterogeneous MAS of
agents in comparison to morphologically identical
homogeneous systems, preserving the same average
physical and sensory abilities for the system as a
whole, in a dynamic environment. We are employing a
form of the predator-prey pursuit problem in attempt to
measure the different performance of homogeneous MAS
with average parameters and its heterogeneous
counterpart. The effects of uncertainty in our work is
investigated from the viewpoint of (i) employing a
limited number of initial situations to evolve the team
of predator agents, (ii) generality to unforeseen
initial situations, and (iii) robustness to perception
noise. Key statistics are the efficiency of evolution
of the successful behaviour of predator agents,
effectiveness of their behaviour and its degradation
because of newly introduced situation or noise.
Preliminary results indicate that a heterogeneous
system can be at least as good as its homogeneous
average equivalent, in solution quality at the expense
of the runtime of evolution.",
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notes = "Also known as \cite{3208259} GECCO-2018 A
Recombination of the 27th International Conference on
Genetic Algorithms (ICGA-2018) and the 23rd Annual
Genetic Programming Conference (GP-2018)",
- }
Genetic Programming entries for
Milen Svetoslavov Georgiev
Ivan T Tanev
Katsunori Shimohara
Citations
