![]() The adopted genetic encoding and simulation environment are particularly suitable in order to evolve distributed sensory and control systems, which play a particularly important role in plants. Different material properties can be simulated and optimized, from a continuum of soft/stiff materials, to the interconnection of heterogeneous structures, both found in animals and plants alike. In this regard, the system may offer a unique opportunity to explore differences and similarities between these two worlds. Whether the evolved creatures will resemble animals or plants is in general not known a priori, and depends on the specific task environment set up by the experimenter. By incorporating artificial evolutionary and developmental processes, the system allows to evolve complete creatures (brain, body, developmental properties, sensory, control system, etc.) for different task environments. In this paper, a comprehensive methodology and simulation framework will be reviewed, designed in order to study the emergence of adaptive and intelligent behavior in generic soft-bodied creatures. 3Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, United States.2Morphology, Evolution & Cognition Laboratory, University of Vermont, Burlington, VT, United States. ![]() 1The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy.Nick Cheney 2,3 Sam Kriegman 2 Josh Bongard 2 Cecilia Laschi 1 ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |