Markov Brains: A Technical Introduction

2 code implementations • 17 Sep 2017 • Arend Hintze, Jeffrey A. Edlund, Randal S. Olson, David B. Knoester, Jory Schossau, Larissa Albantakis, Ali Tehrani-Saleh, Peter Kvam, Leigh Sheneman, Heather Goldsby, Clifford Bohm, Christoph Adami

Markov Brains are a class of evolvable artificial neural networks (ANN).

Leveraging Evolutionary Search to Discover Self-Adaptive and Self-Organizing Cellular Automata

no code implementations • 16 May 2014 • David B. Knoester, Heather J. Goldsby, Christoph Adami

These results demonstrate that CA are a viable platform for studying the integration of self-adaptation and self-organization, and strengthen the case for using evolutionary algorithms as a component of SASO systems.

Evolutionary Algorithms

Evolution of swarming behavior is shaped by how predators attack

7 code implementations • 22 Oct 2013 • Randal S. Olson, David B. Knoester, Christoph Adami

Using an evolutionary model of a predator-prey system, we show that how predators attack is critical to the evolution of the selfish herd.

Predator confusion is sufficient to evolve swarming behavior

1 code implementation • 14 Sep 2012 • Randal S. Olson, Arend Hintze, Fred C. Dyer, David B. Knoester, Christoph Adami

Using an evolutionary model of a predator-prey system, we show that predator confusion provides a sufficient selection pressure to evolve swarming behavior in prey.