All Outputs (3)

Transition dynamics to complex rules in elementary cellular automata from Wolfram classes (2015)
Presentation / Conference
Delgado, E. M., Martinez, G., & Adamatzky, A. (2015, November). Transition dynamics to complex rules in elementary cellular automata from Wolfram classes. Poster presented at 1era Semana de Ciencias de la Complejidad, Mexico City, Mexico

We overview the basis of Elementary Cellular Automata and Wolfram’s Classes, subsequently we show a technique known as Memory Based Rule Analysis, to extract complex systems from a family of chaotic discrete dynamical system. Cases of study rules 30... Read More about Transition dynamics to complex rules in elementary cellular automata from Wolfram classes.

Swarm of robots simulator (2015)
Presentation / Conference
Barrera, R. G. C., Martinez, G., Oliva Moreno, L. N., & Adamatzky, A. (2015, November). Swarm of robots simulator. Poster presented at 1era Semana de las Ciencias de la Complejidad, Mexico City, Mexico

If a robot can perform a specific task by itself... Can you imagine the work that can be done by hundreds of robots working all together?. Swarms have emerged as a way to assimilate the behavior of nature like insects, school of fish or flocks; becau... Read More about Swarm of robots simulator.

Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models (2011)
Presentation / Conference
Gale, E., de Lacy Costello, B., & Adamatzky, A. (2011, December). Comparison of ant-inspired gatherer allocation approaches using memristor-based environmental models. Paper presented at Bioadcom 2011 Workshop on Bio-inspired Approaches to Advanced Computing and Communications (BioAdcom2011), York, England

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.