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This book is devoted to Slime mould Physarum polycephalum, which is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralized actuation. The ease of culturing and experimenting with Physarum makes this slime mould an ideal substrate for real-world implementations of unconventional sensing and computing devices
The book is a treatise of theoretical and experimental laboratory studies on sensing and computing properties of slime mould, and on the development of mathematical and logical theories of Physarum behavior.
It is shown how to make logical gates and circuits, electronic devices (memristors, diodes, transistors, wires, chemical and tactile sensors) with the slime mould. The book demonstrates how to modify properties of Physarum computing circuits with functional nano-particles and polymers, to interface the slime mould with field-programmable arrays, and to use Physarum as a controller of microbial fuel cells.
A unique multi-agent model of slime is shown to serve well as a software slime mould capable for solving problems of computational geometry and graph optimization. The multiagent model is complemented by cellular automata models with parallel accelerations. Presented mathematical models inspired by Physarum include non-quantum implementation of Shor's factorization, structural learning, computation of shortest path tree on dynamic graphs, supply chain network design, p-adic computing and syllogistic reasoning.
The book is a unique composition of vibrant and lavishly illustrated essays which will inspire scientists, engineers and artists to exploit natural phenomena in designs of future and emergent computing and sensing devices. It is a 'bible' of experimental computing with spatially extended living substrates, it spanstopics from biology of slime mould, to bio-sensing, to unconventional computing devices and robotics, non-classical logics and music and arts.
Biology of the Physarum polycephalum Plasmodium: Preliminaries for Unconventional Computing
Physarum, Quo Vadis?
Logical Gates and Circuits Implemented in Slime Mould
On the Memristive Properties of Slime Mould
Physarum in Hybrid Electronic Devices
Physarum-Inspired Electronic and Nanoelectronic Computing Systems
Slime Mould Nanotechnology
Long-Term Storable Microfluidic Whole-Cell Biosensor Using Physarum polycephalum for Toxicity Prescreening
Routing Physarum “Signals” with Chemicals
A Chemomodulatory Platform for Physarum polycephalum Incorporating Genetically Transformed Plant Root Cultures
Chemical Sensors and Information Fusion in Physarum
Physarum Wires, Sensors and Oscillators
Physarum and Electronics
Slime Mould Controller for Microbial Fuel Cells
Towards a Slime Mould-FPGA Interface
Slime Mould Approximates Longest Roads in USA and Germany: Experiments on 3D Terrains
Recolonisation of USA: Slime Mould on 3D Terrains
Application of Slime Mould Computing on Archaeological Research
Power Laws of the Physarum Plasmodium
Physarum Imitates Exploration and Colonisation of Planets
Memristive and Memcapacitive Models of Physarum Learning
Multi-agent Slime Mould Computing: Mechanisms, Applications and Advances
Towards a Non-quantum Implementation of Shor’s Factorization Algorithm
Modelling Oscillatory Behaviour of Slime Mould
Physarum Learner: A Slime Mold Inspired Structural Learning Approach
Slime Mould Inspired Applications on Graph-Optimization Problems
Cellular Automata Models Simulating Slime Mould Computing
Parallel Acceleration of Slime Mould Discrete Models
p-Adic Computation with Physarum
Syllogistic Versions of Go Games on Physarum
Halting Physarum Machines Based on Compressibility
Decision-Making at the Cellular Level: The Physarum Paradigm
Towards Collective Visual Perception in a Multi-agent Model of Slime Mould
Physarum-Based Memristors for Computer Music
Translating Slime Mould Responses: A Novel Way to Present Data to the Public
On Creativity of Slime Mould