Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics
The paper discusses the role of Lamarckian inheritance in the evolution of robotic agents in dynamic environments. It highlights how the effectiveness of this inheritance depends on the predictability and conflict of environmental changes. The authors demonstrate that adding sensors can enhance the performance of Lamarckian inheritance under challenging conditions.
- ▪The study combines morphology optimization with controller optimization in robotic evolution.
- ▪Lamarckian inheritance can improve performance in dynamic environments, contrary to traditional evolutionary theory.
- ▪The benefits of Lamarckian inheritance are influenced by the predictability and conflict of environmental changes.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15769 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | z99lZEiYBrWG |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Robotics arXiv:2605.15769 (cs) [Submitted on 15 May 2026] Title:Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics Authors:K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen View a PDF of the paper titled Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics, by K. Ege de Bruin and 2 other authors View PDF Abstract:The co-optimization of a robot's body and brain presents a coupled challenge: the morphology constrains which control strategies are effective, while the control determines how well the morphology performs.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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