Advances in Physarum Machines: Sensing and Computing with by Andrew Adamatzky

By Andrew Adamatzky

This e-book is dedicated to Slime mildew Physarum polycephalum, that's a huge unmarried phone able for disbursed sensing, concurrent info processing, parallel computation and decentralized actuation. the benefit of culturing and experimenting with Physarum makes this slime mildew an incredible substrate for real-world implementations of unconventional sensing and computing devices

The e-book is a treatise of theoretical and experimental laboratory reviews on sensing and computing homes of slime mold, and at the improvement of mathematical and logical theories of Physarum habit.

It is proven the right way to make logical gates and circuits, digital units (memristors, diodes, transistors, wires, chemical and tactile sensors) with the slime mold. The e-book demonstrates the right way to adjust houses of Physarum computing circuits with sensible nano-particles and polymers, to interface the slime mildew with field-programmable arrays, and to exploit Physarum as a controller of microbial gas cells.

A specified multi-agent version of slime is proven to serve good as a software program slime mildew able for fixing difficulties of computational geometry and graph optimization. The multiagent version is complemented via mobile automata versions with parallel accelerations. offered mathematical types encouraged by means of Physarum comprise non-quantum implementation of Shor's factorization, structural studying, computation of shortest direction tree on dynamic graphs, provide chain community layout, p-adic computing and syllogistic reasoning.

The publication is a different composition of bright and lavishly illustrated essays in order to encourage scientists, engineers and artists to use normal phenomena in designs of destiny and emergent computing and sensing units. it's a 'bible' of experimental computing with spatially prolonged dwelling substrates, it spanstopics from biology of slime mildew, to bio-sensing, to unconventional computing units and robotics, non-classical logics and tune and arts.

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Extra info for Advances in Physarum Machines: Sensing and Computing with Slime Mould

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The response for each stimuli type used for logic gate approximation was tested for normality. With the knowledge of frequency change distribution for each input derived from previous data [35], the probability and hence accuracy of the NOR, NAND, XOR and XNOR gates were calculated using the distributions and likelihood of either type I or II error for each input; this method accounted for the variation in response to the stimuli. In addition to the derived gates, accuracy of the half adder, full adder and 2–4 bit decoder combinational logic circuits were also calculated.

Combinational circuits comprising several individual PFGs could be produced; the input stimuli can be automatically controlled using a microprocessor. The output of the PFG is measured using custom Matlab software consisting of data handling and a fast Fourier transform; this could be implemented on a microprocessor with analogue to digital converter and appropriate software to automatically determine frequency change hence logic output of one PFG and subsequently control the input of the next gate in the sequence.

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