Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
A new kind of science
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Detecting non-trivial computation in complex dynamics
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
All else being equal be empowered
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Evolving spatiotemporal coordination in a modular robotic system
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
| Hi-index | 0.00 |
Particles, gliders and domain walls have long been thought to be the information transfer entities in cellular automata. In this paper we present local transfer entropy, which quantifies the information transfer on a local scale at each space-time point in cellular automata. Local transfer entropy demonstrates quantitatively that particles, gliders and domain walls are the dominant information transfer entities, thereby supporting this important conjecture about the nature of information transfer in cellular automata.