All Outputs (40)

Manipulating with excitations: Waves or gliders? (2013)
Presentation / Conference Contribution

Excitable media are classical examples of un- conventional computing devices. Using waves to represent information and wave interactions to represent information processing, excitable media achieve computation versatility comparable to traditional te... Read More about Manipulating with excitations: Waves or gliders?.

Beyond Markov chains, towards adaptive memristor network-based music generation (2013)
Presentation / Conference Contribution

We undertook a study of the use of a memristor network for music generation, making use of the memristor's memory to go beyond the Markov hypothesis. Seed transition matrices are created and populated using memristor equations, and which are shown to... Read More about Beyond Markov chains, towards adaptive memristor network-based music generation.

Creating unorganised machines from memristors (2012)
Presentation / Conference Contribution

Manipulating objects with gliders in cellular automata (2012)
Presentation / Conference Contribution

Micro-scale manipulation of objects is a growing requirement in specialised industries, especially those related to assembly of fragile micro-components. Widely implemented techniques in robotics and automation do not always cope with the delicate na... Read More about Manipulating objects with gliders in cellular automata.

Different behaviour seen in flexible titanium dioxide sol-gel memristors dependent on the choice of electrode materials (2012)
Presentation / Conference Contribution

Fabrication and modelling of titanium dioxide memristors (2012)
Presentation / Conference Contribution

Concept – including filamentary conduction in the mem-mon theory of memristance improves the model for ‘triangular’ memristors

Cartesian genetic programming for memristive logic circuits (2012)
Presentation / Conference Contribution

In this paper memristive logic circuits are evolved using Cartesian Genetic Programming. Graphs comprised of implication logic (IMP) nodes are compared to more ubiquitous NAND circuitry on a number of logic circuit problems and a robotic control task... Read More about Cartesian genetic programming for memristive logic circuits.

Cellular automaton supercollider: An abstract model (2012)
Presentation / Conference Contribution

A virtual accelerator that smashes together glider-like particles inside a cellular automaton can perform computations, say researchers. By KFC [http://www.technologyreview.com/printer_friendly_blog.aspx?id=26808]

Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models (2011)
Presentation / Conference Contribution

Memristors are used to compare three gathering techniques in an already-mapped environment where resource locations are known. The All Site model, which apportions gatherers based on the modeled memristance of that path, proves to be good at increasi... Read More about Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models.

Neuromorphic computing with memristors: Preliminary experimental results (2011)
Presentation / Conference Contribution

Individual memristors have been observed demonstrating neuron-like spiking patterns. It has been shown
elsewhere that memristors provide superior modelling for neurons then the Hodgkin-Huxley model. Due to
these results we expect memristors to be e... Read More about Neuromorphic computing with memristors: Preliminary experimental results.

Evolving spiking networks with variable memristors (2011)
Presentation / Conference Contribution

Towards evolving spiking networks with memristive synapses (2011)
Presentation / Conference Contribution

This paper presents a spiking neuro-evolutionary system which implements memristors as neuromodulatory connections, ie whose weights can vary during a trial. The evolutionary design process exploits parameter self-adaptation and a constructionist app... Read More about Towards evolving spiking networks with memristive synapses.

Computation with competing patterns in Life-like automaton: Binary adder implementation (2010)
Presentation / Conference Contribution

We study Life-like cellular automaton rule B2/S2345. This automaton exhibits a chaotic behaviour yet capable for purposeful computation. The automaton implements Boolean gates via patterns which compete for the space when propagate in channels. Value... Read More about Computation with competing patterns in Life-like automaton: Binary adder implementation.

Complex dynamics of cellular automata emerging in chaotic rules (2009)
Presentation / Conference Contribution

We show novel techniques of analysing complex dynamics of cellular automata (CA) with chaotic behaviour. CA are well known computational substrates for studying emergent collective behaviour, complexity, randomness and interaction between order and d... Read More about Complex dynamics of cellular automata emerging in chaotic rules.

Co-evolving cellular automatat with memory for chemical computing: Boolean logic gates in the BZ reaction (2008)
Presentation / Conference Contribution

Computation by competing patterns: life rule B2/S2345678 (2008)
Presentation / Conference Contribution

Towards designing collision based chemical logic gates with adaptive computing (2008)
Presentation / Conference Contribution

A genetic approach to search for glider guns in cellular automata (2007)
Presentation / Conference Contribution

Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction (2007)
Presentation / Conference Contribution

Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata (2005)
Presentation / Conference Contribution

This paper presents a novel approach to the programming of automata-based simulation and computation using a machine learning technique. The identification of lattice-based automata for real-world applications is cast as a data mining problem. Our ap... Read More about Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata.