• Corpus ID: 233181842

Bootstrapping of memetic from genetic evolution via inter-agent selection pressures

  title={Bootstrapping of memetic from genetic evolution via inter-agent selection pressures},
  author={Nicholas Guttenberg and Marek Rosa},
We create an artificial system of agents (attention-based neural networks) which selectively exchange messages with each-other in order to study the emergence of memetic evolution and how memetic evolutionary pressures interact with genetic evolution of the network weights. We observe that the ability of agents to exert selection pressures on each-other is essential for memetic evolution to bootstrap itself into a state which has both high-fidelity replication of memes, as well as continuing… 

Figures and Tables from this paper


On Meme–Gene Coevolution
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables the emergence of
A New Factor in Evolution (Continued)
Until something better is proposed, Petit's system of classification may well be adopted, for although it is not wholly natural, it is more so than any which has preceded it.
Cultural versus genetic adaptation.
There may, however, be an overall evolutionary advantage to a flexible mechanism of cultural transmission that allows adaptation to new situations for which no genetic mutants are available.
Lineage selection leads to evolvability at large population sizes
It is argued that one of these—lineage selection—becomes a strong selective force when the time scale of fixation in the population is comparable to the time Scale of adaptation, which implies that lineage selection will be enhanced by anything that slows down fixation.
‘The Selfish Gene’
On Crossing Fitness Valleys with the Baldwin Effect
Analytical and simulation studies are provided to investigate the effectiveness and limitations of the Baldwin effect in enabling genotypic evolution to cross fitness valleys and how canalisation is unnecessary for the Baldwineffect and a hindrance to its valley-crossing ability.
Cultural transmission and evolution: a quantitative approach.
A mathematical theory of the non-genetic transmission of cultural traits is developed that provides a framework for future investigations in quantitative social and anthropological science and concludes that cultural transmission is an essential factor in the study of cultural change.