Evolving Spatiotemporal Coordination in a Modular Robotic System
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Prokopenko:2006:SAB,
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author = "Mikhail Prokopenko and Vadim Gerasimov and
Ivan Tanev",
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title = "Evolving Spatiotemporal Coordination in a Modular
Robotic System",
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booktitle = "From Animals to Animats 9: 9th International
Conference on the Simulation of Adaptive Behavior (SAB
2006)",
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year = "2006",
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editor = "Stefano Nolfi and Gianluca Baldassarre and
Raffaele Calabretta and John C. T. Hallam and Davide Marocco and
Jean-Arcady Meyer and Orazio Miglino and
Domenico Parisi",
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volume = "4095",
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series = "Lecture Notes in Computer Science",
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pages = "558--569",
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address = "Rome, Italy",
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month = "25-29 " # sep,
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publisher = "Springer",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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keywords = "genetic algorithms, genetic programming,
spatiotemporal coordination, entropy",
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ISBN = "3-540-38608-4",
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URL = "http://www.ict.csiro.au/staff/mikhail.prokopenko/Publications/Agents/snakebot-corrected.pdf",
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DOI = "doi:10.1007/11840541_46",
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size = "12 pages",
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abstract = "In this paper we present a novel information-theoretic
measure of spatiotemporal coordination in a modular
robotic system, and use it as a fitness function in
evolving the system. This approach exemplifies a new
methodology formalising co-evolution in multi-agent
adaptive systems: information-driven evolutionary
design. The methodology attempts to link together
different aspects of information transfer involved in
adaptive systems, and suggests to approximate direct
task-specific fitness functions with intrinsic
selection pressures. In particular, the
information-theoretic measure of coordination employed
in this work estimates the generalised correlation
entropy K2 and the generalized excess entropy E2
computed over a multivariate time series of actuators'
states. The simulated modular robotic system evolved
according to the new measure exhibits regular
locomotion and performs well in challenging terrains.",
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notes = "http://www.sab06.org/",
- }
Genetic Programming entries for
Mikhail Prokopenko
Vadim Gerasimov
Ivan T Tanev
Citations