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- Publications
- Influence

Identification of Cellular Automata

- A. Adamatzky
- Computer Science
- Encyclopedia of Complexity and Systems Science
- 1994

What are Cellular Automata Classification of Cellular Automata Cellular Automata Simulating Nature What is Identification Deterministic Cellular Automata Probabilistic Cellular Automata Fuzzy… Expand

Physarum Machines: Computers from Slime Mould

- A. Adamatzky
- Engineering
- 30 August 2010

A Physarum machine is a programmable amorphous biological computer experimentally implemented in the vegetative state of true slime mould Physarum polycephalum. It comprises an amorphous yellowish… Expand

Computing in nonlinear media and automata collectives

- A. Adamatzky
- Computer Science
- 2001

The subject of this book is computing in excitable and reaction-diffusion media. This is one approach to novel computing methods. Other approaches include quantum and evolutionary computation, and… Expand

Physarum Machine: Implementation of a Kolmogorov-Uspensky Machine on a Biological substrate

- A. Adamatzky
- Computer Science
- Parallel Process. Lett.
- 25 March 2007

We implement a Kolmogorov-Uspensky machine on the Plasmodium of the slime mold Physarum polycephalum. We provide experimental findings on realization of the machine instructions, illustrate basic… Expand

Computation of shortest path in cellular automata

- A. Adamatzky
- Mathematics
- 21 February 1996

In this paper, we show how to find the shortest path between given nodes of a mesh with weighted edges. We use a cellular automaton which exhibits autowave patterns, where a wave of auto-excitation… Expand

Reaction-diffusion computers

- A. Adamatzky, B. Costello, T. Asai
- Computer Science
- 2005

The interdisciplinary research monograph, which has been peer-reviewed by several international experts assigned by Elsevier, introduces ground breaking original results in formal paradigms,… Expand

Hierarchy of fuzzy cellular automata

- A. Adamatzky
- Mathematics
- 10 March 1994

Abstract We elaborate notion of cellular automata in the directions of synchroneity/asynchroneity, stationarity/nonstationarity, and fuzzify the principle features of cellular automata as cell state… Expand

Slime Mold Solves Maze in One Pass, Assisted by Gradient of Chemo-Attractants

- Andrew Adamatzky
- Computer Science, Physics
- IEEE Transactions on NanoBioscience
- 24 August 2011

Plasmodium of Physarum polycephalum is a large cell, visible by unaided eye, which exhibits sophisticated patterns of foraging behaviour. The plasmodium's behaviour is well interpreted in terms of… Expand

Game of Life Cellular Automata

- Andrew Adamatzky
- Computer Science
- 14 June 2010

In the late 1960s British mathematician John Conway invented a virtual mathematical machine that operates on a two-dimensional array of square cell. Each cell takes two states, live and dead. The… Expand

A Biologically Inspired Optimization Algorithm for Solving Fuzzy Shortest Path Problems with Mixed Fuzzy Arc Lengths

- X. Zhang, Qing Wang, A. Adamatzky, F. Chan, S. Mahadevan, Yong Deng
- Computer Science, Mathematics
- J. Optim. Theory Appl.
- 1 December 2014

The shortest path problem is among fundamental problems of network optimization. Majority of the optimization algorithms assume that weights of data graph’s edges are pre-determined real numbers.… Expand