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

By Andrew Adamatzky

This booklet is dedicated to Slime mold Physarum polycephalum, that's a huge unmarried mobilephone able for dispensed sensing, concurrent details processing, parallel computation and decentralized actuation. the benefit of culturing and experimenting with Physarum makes this slime mold an awesome substrate for real-world implementations of unconventional sensing and computing devices

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

It is proven easy methods to make logical gates and circuits, digital units (memristors, diodes, transistors, wires, chemical and tactile sensors) with the slime mold. The booklet demonstrates how you can alter houses of Physarum computing circuits with useful 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 exact 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 via Physarum comprise non-quantum implementation of Shor's factorization, structural studying, computation of shortest direction tree on dynamic graphs, offer chain community layout, p-adic computing and syllogistic reasoning.

The publication is a distinct composition of shiny and lavishly illustrated essays for you to encourage scientists, engineers and artists to take advantage of ordinary 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 mold, to bio-sensing, to unconventional computing units and robotics, non-classical logics and tune and arts.

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In contrast, the injury or entire cut of a plasmodial tube leads to rapid sealing of the resulting tips. Depending on the extent of the damage and the width of the tubes, they experience several fates: the separated tubes may (1) fuse again, (2) re-route to connect with other parts of the plasmodium, (3) explore the vicinity independently, or (4) one or both are retracted (Fig. 3). All these studies of network optimization by the slime mold have been conducted with unconstrained conditions of water accessibility, usually on media (or on other water soaked supports, including paper) in Petri dishes or other closed containments.

We demonstrate how XOR and NOR gates are constructed. We also exemplify circuits of hybrid gates and binary memory devices. The slime mould based fluidic gates are non-electronic, simple and inexpensive, several gates can be realised simultaneously at the sites where protoplasmic tubes merge. Simulations of more complex combined logic gates and half-adder circuits are demonstrated using a multi-agent model of slime mould [13]. These simulation experiments demonstrated the limiting factors affecting the foraging behaviour of the model plasmodium, particularly at junctions within the gate pattern where choice of growth direction and timing of propagation may be affected.

Thus the plasmodia appear in both outputs p and q (Fig. 2e). 42 A. Adamatzky et al. (a) (b) (c) (d) (e) (f) (g) (h) (i) Fig. 2 Physarum ballistic gates. a, b Geometrical structure of Physarum gates P1 (a) and P2 (b) x and y are inputs, p and q are outputs. c–e Experimental examples of transformation x, y → p, q implemented by Physarum gate P1 . c 0, 1 → 0, 1 . d 1, 0 → 0, 1 . e 1, 1 → 1, 1 . f–i Experimental examples of transformation x, y → p, q implemented by Physarum gate P2 . f 0, 1 → 1, 0 .

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