Evolution, Plasticity, and Forgetting: Adaptation in a Simple Dynamic Environment

This record contains a small exploratory computational research project investigating the interaction between evolution, lifetime plasticity, and forgetting in a dynamically changing environment. The experiment uses a 2–6–2 neural network and compares three conditions: Evolution only (E), Evolution with Plasticity (EP), and Evolution with Plasticity and Forgetting (EPF). The environment undergoes periodic reversals every 20 generations over a 100-generation experiment. The results indicate that lifetime plasticity improves adaptation compared with evolution alone. The overall comparison between EP and EPF does not show a statistically significant improvement. However, EPF exhibits several descriptive patterns associated with adaptive robustness, including rapid recovery during later environmental reversals and a more concentrated final-fitness distribution. These observations suggest that forgetting may potentially influence adaptation by regulating the persistence of previously acquired information. This interpretation is exploratory and should not be considered a confirmed causal effect. The uploaded materials include the research paper, experimental source code, recorded experimental history data, and summary results.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-28
DOI
https://doi.org/10.5281/zenodo.22139998
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolution, Plasticity, and Forgetting: Adaptation in a Simple Dynamic Environment

Kunyu Liu
Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
article

Evolution, Plasticity, and Forgetting: Adaptation in a Simple Dynamic Environment

Kunyu Liu
article en

Abstract

This record contains a small exploratory computational research project investigating the interaction between evolution, lifetime plasticity, and forgetting in a dynamically changing environment. The experiment uses a 2–6–2 neural network and compares three conditions: Evolution only (E), Evolution with Plasticity (EP), and Evolution with Plasticity and Forgetting (EPF). The environment undergoes periodic reversals every 20 generations over a 100-generation experiment. The results indicate that lifetime plasticity improves adaptation compared with evolution alone. The overall comparison between EP and EPF does not show a statistically significant improvement. However, EPF exhibits several descriptive patterns associated with adaptive robustness, including rapid recovery during later environmental reversals and a more concentrated final-fitness distribution. These observations suggest that forgetting may potentially influence adaptation by regulating the persistence of previously acquired information. This interpretation is exploratory and should not be considered a confirmed causal effect. The uploaded materials include the research paper, experimental source code, recorded experimental history data, and summary results.

Zenodo (CERN European Organization for Nuclear Research)
Capital Normal University (CN)
Openalex Percentile: Top 2%
Language and cultural evolution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evolution, Plasticity, and Forgetting: Adaptation in a Simple Dynamic Environment — Kunyu Liu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS