Odd Rune Lykkebø

  • Citations Per Year
Learn More
Evolution in Materio (EIM) exploits properties of physical systems to compute. “Designs” are evolved instead of a traditional top down design approach. Computation is a product of the state(s) of the material and input data. Evolution manipulates physical processes by stimulating materials assessed in situ. A hardware software platform designed for EIM(More)
Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we show that using a purpose-built hardware platform called Mecobo, it is possible to evolve voltages and signals applied to physical materials(More)
Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit the properties of physical matter to solve computational problems without requiring a detailed understanding of such properties. EIM has so far been applied to very few computational problems. We show that using a purpose-built hardware platform called Mecobo, it is possible to(More)
Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we describe experiments using a purpose-built EIM platform called Mecobo to classify whether an applied square wave signal is above or below a(More)
Evolution in Materio (ElM) exploits properties of physical systems for computation. Evolution manipulates physical processes by stimulating materials by applying some sort of configuration signal. For materials such as liquid crystal and carbon nanotubes the properties of configuration data is rather open. In this work we investigate what kind of(More)
Evolution-in-materio (EIM) is a form of intrinsic evolution in which evolutionary algorithms are allowed to manipulate physical variables that are applied to materials. This method aims to configure materials so that they solve computational problems without requiring a detailed understanding of the properties of the materials. The concept gained attention(More)
Materials suitable to perform computation make use of evolved configuration signals which specify how the material samples are to operate. The choice of which input and configuration parameters to manipulate obviously impacts the potential of the computational device that emerges. As such, a key challenge is to understand which parameters are better suited(More)
In this short paper an attempt is made to explain computations in nanomaterials under the Evolution-In-Materio scenario. Computations performed by the material are considered within the framework of system theory as introduced in classical cybernetics. Three conceptual domains of computations are identified which are related to different hierarchical(More)
Computational materials, e.g. Single-wall carbon nanotubes and polymer nanocomposites, have been evolved to solve complex computational problems. Such blobs of material have been treated as a black box, e.g. Some input is encoded, some configuration signals are evolved to "program" the material machine, and some output is decoded. However, how the(More)
  • 1