Analysis of unconventional evolved electronics

Thompson, Adrian; Layzell, P.

doi:10.1145/299157.299174

Cited by 76 publications

(27 citation statements)

References 6 publications

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“…During one of these experiments [38], an unusual behaviour was observed. The circuit worked very well during evolution, but when tested on a second FPGA chip, the circuit failed to work at all.…”

Section: Exploiting Non-standard Features During Learningmentioning

confidence: 89%

The Nonclassical Mind: Cognitive Science and Nonclassical Computing

Johnson

2007

Intelligent Computing Everywhere

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Section: Exploiting Non-standard Features During Learningmentioning

confidence: 89%

The Nonclassical Mind: Cognitive Science and Nonclassical Computing

Johnson

2007

Intelligent Computing Everywhere

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“…Adrian Thompson spends his time trying to develop ways to analyse how his evolved circuits work [19]. Julian Miller has expanded upon Thompson's work, showing how evolution can create circuits that seem to work on entirely new principles [20].…”

Section: Explorative Evolutionmentioning

confidence: 99%

Exploring Component-based Representations - The Secret of Creativity by Evolution?

Bentley

2000

Evolutionary Design and Manufacture

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Abstract. This paper investigates one of the newest and most exciting methods in computer science to date: employing computers as creative problem solvers by using evolution to explore for new solutions. The paper introduces and discusses the new understanding that explorative evolution relies upon a representation based on components rather than a parameterisation of a known solution. Evolution explores how the components can be arranged, how many are needed, and the type or function of each. The extra freedom provided by this simple idea is remarkable. By using evolutionary computation for exploration instead of optimisation, this technique enables us to expand the capabilities of computers. The paper describes how the approach has already shown impressive results in the creation of novel designs and architecture, fraud detection, composition of music, and creation of art. A framework for explorative evolution is provided, with discussion of the significance and difficulties posed by each element. The paper ends with an example of creative problem solving for a simple application -showing how evolution can shape pieces of paper to make them fall slowly through the air, by spiraling down like sycamore seeds.

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“…When the evolved circuit was analysed, Thompson discovered that artificial evolution had exploited physical properties of the chip. Despite considerable analysis and investigation Thompson and Layzell were unable to pinpoint what exactly was going on in the evolved circuits [17].…”

Section: Introductionmentioning

confidence: 99%

Evolution-in-materio: Solving function optimization problems using materials

Mohid

Miller

Harding

et al. 2014

2014 14th UK Workshop on Computational Intelligence (UKCI)

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Abstract-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 to solve computational problems. We demonstrate for the first time that this methodology can be applied to function optimization. We evaluate the approach on 23 function optimization benchmarks and in some cases results come very close to the global optimum or even surpass those provided by a well-known software-based evolutionary approach. This indicates that EIM has promise and further investigations would be fruitful.

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Analysis of unconventional evolved electronics

Cited by 76 publications

References 6 publications

The Nonclassical Mind: Cognitive Science and Nonclassical Computing

The Nonclassical Mind: Cognitive Science and Nonclassical Computing

Exploring Component-based Representations - The Secret of Creativity by Evolution?

Evolution-in-materio: Solving function optimization problems using materials

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