• Corpus ID: 34751478

The Baldwin veering effect: How intelligence can change the course of evolution

  title={The Baldwin veering effect: How intelligence can change the course of evolution},
  author={Stefano Bennati and Leonel Aguilar and Dirk Helbing},
The effect of phenotypic plasticity in an evolutionary process, the so-called Baldwin effect, has been studied extensively for more than 100 years. Plasticity has been found to influence the speed of evolution towards an optimal genetic configuration, but whether or not plasticity can cause evolution to veer towards a different genetic configuration from what pursued by evolution alone, is still an open question. Here, this question is investigated analytically and experimentally, by means of… 



The Influence of Learning on Evolution: A Mathematical Framework

It is shown that a positive gain-function derivative implies that learning accelerates evolution, and a negative one implies deceleration under the condition that the population is distributed on a monotonic part of the fitness landscape.

Finding the evolutionarily stable learning rule for frequency-dependent foraging

How Adaptive Learning Affects Evolution: Reviewing Theory on the Baldwin Effect

The arguments underlying the hypothesis on the Baldwin effect are described and the core argument is identified: adaptive learning influences the rate of evolution because it changes relative fitness of phenotypes.

Modeling the Evolution of Motivation

Simulations of the evolution of populations of agents instantiating a number of different architectures for generating action and learning in worlds of differing complexity find that in some cases, members of the populations evolve motivation systems that are accurate enough to direct learning so as to increase the fitness of the actions that the agents perform.

Environmental complexity favors the evolution of learning

It is shown that between-generation variability is not necessary, and that instrumental learning can provide a selective advantage in complex environments, where an individual is exposed to a large number of different challenges during its lifespan.

Learning and evolution: a quantitative genetics approach.

The similarities of the results from these two models suggest that the net effects of learning on evolution are relatively independent of the mechanisms underlying the learning process.

Genes, Phenes and the Baldwin Effect: Learning and Evolution in a Simulated Population

Clear evidence is presented that the Baldwin Effect can indeed alter the course of Darwinian evolution at the level of the genotype and it is shown that plasticity at the phenotypic level can and does produce directed changes at the genotypiclevel.

Undermining the Baldwin expediting effect: does phenotypic plasticity accelerate evolution?

  • L. Ancel
  • Biology
    Theoretical population biology
  • 2000
In two modeling frameworks, it is demonstrated that the effects of plasticity on the rate of evolution are highly dependent on the fitness function and population starting conditions and that phenotypic plasticity does not universally facilitate evolution.

A review of Evolution and learning: the Baldwin effect reconsidered edited by Bruce Weber and David Depew

The chapters in this collection variously discuss the history of this controversy; the relationship of the Baldwin hypothesis to other ideas about the evolutionary interactions of development and evolution, especially Waddington’s work on genetic assimilation; the status ofThe Baldwin Effect within contemporary mainstream evolutionary theory; and its connection to less mainstream contemporary thought.

Signalling and the Evolution of Cooperative Foraging in Dynamic Environments

It is shown that in the limiting case of a sparse, ephemeral but locally abundant nutrient source, a given environmental profile will support a fixed number of signalling individuals, and this effective carrying capacity for cooperation is related to the characteristic length and time scales of the resource field.