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Evolutionary design of soft-bodied animats with decentralized control.

, , , and . Artif. Life Robotics, 18 (3-4): 152-160 (2013)

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Evolving Networks Processing Signals with a Mixed Paradigm, Inspired by Gene Regulatory Networks and Spiking Neurons., , and . BIONETICS, volume 134 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 135-149. Springer, (2012)The Search for Beauty: Evolution of Minimal Cognition in an Animat Controlled by a Gene Regulatory Network and Powered by a Metabolic System., , , and . SAB, volume 7426 of Lecture Notes in Computer Science, page 198-208. Springer, (2012)Evolution and development of complex computational systems using the paradigm of metabolic computing in Epigenetic Tracking., and . WIVACE, volume 130 of EPTCS, page 27-34. (2013)Evolution of Animats Following a Moving Target in an Artificial Ecosystem., and . ALIFE, page 98-104. MIT Press, (2014)Co-evolution of morphology and control of soft-bodied multicellular animats., and . GECCO, page 561-568. ACM, (2012)Evolution of the Morphology and Patterning of Artificial Embryos: Scaling the Tricolour Problem to the Third Dimension., and . ECAL (1), volume 5777 of Lecture Notes in Computer Science, page 35-43. Springer, (2009)Controlling development and chemotaxis of soft-bodied multicellular animats with the same gene regulatory network., , , and . ECAL, page 454-461. MIT Press, (2013)An artificial lizard regrows its tail (and more): regeneration of 3-dimensional structures with hundreds of thousands of artificial cells., and . ECAL, page 144-150. MIT Press, (2013)The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns., , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 758-771. Springer, (2019)Spiking Neural Networks Evolved to Perform Multiplicative Operations., , , and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 314-321. Springer, (2018)