Abstract
Our research is motivated by the fact that in Nature macroscopic forms are often shaped with high precision (the shape of the cornea, the bones in an articulation etc.), this paper investigates the possible use of biological mechanisms to evolve shapes and functions for a given task. The concurrent evolution of shape and neural controller of an agent creates a new kind of problem: As the neural nets are not independent of the body structure (often the sensors are distributed over the body, the effectors have their positions), a change in body shape will often decrease the overall fitness. This will flaw any artificial evolutionary system, unless the evolutionary process is robust against changes of the positions of the cells. Therefore, this paper proposes an evolutionary system able to explore shape and neural networks of an agent independently based on specific receptor-ligand interactions.
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Eggenberger, P. (2003). Evolving Morphologies and Neural Controllers Based on the Same Underlying Principle: Specific Ligand-Receptor Interactions. In: Hara, F., Pfeifer, R. (eds) Morpho-functional Machines: The New Species. Springer, Tokyo. https://doi.org/10.1007/978-4-431-67869-4_11
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DOI: https://doi.org/10.1007/978-4-431-67869-4_11
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