The Computer and the Brain
Ant Colony Optimization
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Systemic computation: A model of interacting systems with natural characteristics
International Journal of Parallel, Emergent and Distributed Systems - Emergent Computation
The many facets of natural computing
Communications of the ACM
Systemic computation using graphics processors
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
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
| Hi-index | 0.00 |
Nature is not afraid of complexity. Her solutions exploit the unpredictable and messy nature of reality. But our technology seems to be very different. Instead of exploiting its environment it is more frequently damaged by that environment. In this article I describe how we can learn from natural systems and create new technologies that exploit natural principles. I describe our investigations into the technologies of the future --- devices that can adapt, be fault tolerant, and even assemble themselves. Examples of a self-repairing robot and physical self-assembling systems are shown, and I describe my systemic computer concept which aims to be the first parallel fault tolerant computer that is based on general biological systems. Through examples such as these, I argue that while we may never be able to predict exactly what a natural system may do, that does not prevent such systems from being extremely useful for us --- after all, we are unpredictable natural systems ourselves.