Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Interactions between learning and evolution: the outstanding strategy generated by the Baldwin effect.

Bio Systems - 1 Nov 2004

Suzuki Reiji, Arita Takaya

Abstract excerpt

The Baldwin effect is known as an possible interaction between learning and evolution, where individual lifetime learning can influence the course of evolution without using any Lamarckian mechanism. Our concern is to consider the Baldwin effect in dynamic environments, especially when there is no explicit optimal solution through generations and this solution depends only on interactions among agents. We adopted...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adaptation, Physiological
Share to Biological Evolution
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cooperative Behavior

Share to Game Theory

Share to Learning

Share to Models, Psychological

Share to Population Dynamics

Source

Identifiers

PMID: 15527946
DOI: 10.1016/j.biosystems.2004.04.002

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Interactions between learning and evolution: the outstanding strategy generated by the Baldwin effect.PMID 15527946Read ↗

Evolutionary games under incompetence.Semantic proximity Read ↗

Phenotypic plasticity, the Baldwin effect, and the speeding up of evolution: the computational roots of an illusion.Semantic proximity Read ↗

Evolutionary game dynamics in populations with different learners.Semantic proximity Read ↗

A model for the interaction of learning and evolution.Semantic proximity Read ↗

Evolution of learning in fluctuating environments: when selection favors both social and exploratory individual learning.Semantic proximity Read ↗

Tit-for-tat or win-stay, lose-shift?Semantic proximity Read ↗

A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.Semantic proximity Read ↗

Self-adaptation in evolving systems.Semantic proximity Read ↗

Evolutionary minority game: the roles of response time and mutation threshold.Semantic proximity Read ↗

Evolutionary model with genetics, aging, and knowledge.Semantic proximity Read ↗

Global mutations and local mutations have very different effects on evolution, illustrated by mixed strategies of asymmetric binary games.Semantic proximity Read ↗

Exploration dynamics in evolutionary games.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.