Emergence: from chaos to order
Emergence: from chaos to order
Computing in nonlinear media and automata collectives
Computing in nonlinear media and automata collectives
AllelesLociand the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Systemic computation: A model of interacting systems with natural characteristics
International Journal of Parallel, Emergent and Distributed Systems - Emergent Computation
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Designing Biological Computers: Systemic Computation and Sensor Networks
Bio-Inspired Computing and Communication
Crash-proof systemic computing: a demonstration of native fault-tolerance and self-maintenance
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Fast bio-inspired computation using a GPU-based systemic computer
Parallel Computing
Systemic computation using graphics processors
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
MEMICS'11 Proceedings of the 7th international conference on Mathematical and Engineering Methods in Computer Science
Introducing the FPGA-Based hardware architecture of systemic computation (HAoS)
MEMICS'11 Proceedings of the 7th international conference on Mathematical and Engineering Methods in Computer Science
Novel visualisation and analysis of natural and complex systems using systemic computation
Information Visualization
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Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1] introduced systemic computation, a model of interacting systems with natural characteristics. Following this work, here we introduce the first platform implementing such computation, including programming language, compiler and virtual machine. To investigate their use we then provide an implementation of a genetic algorithm applied to the travelling salesman problem and also explore how SC enables self-adaptation with the minimum of additional code.