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相关论文: Internalized Morphogenesis: A Self-Organizing Mode…

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Understanding how living organisms spontaneously develop complex functional structures inspires innovative approaches in engineering design. Here, we introduce a decentralized generative model based on morphogenesis to autonomously grow…

应用物理 · 物理学 2025-09-15 Thomas Fromentèze , Philippe Michaud , Ali Hassny , Vincent Pateloup

Token representations influence the efficiency and adaptability of language models, yet conventional tokenization strategies impose rigid segmentation boundaries that do not adjust dynamically to evolving contextual relationships. The…

计算与语言 · 计算机科学 2025-08-11 Alistair Dombrowski , Beatrix Engelhardt , Dimitri Fairbrother , Henry Evidail

Many living and non-living complex systems can be modeled and understood as collective systems made of heterogeneous components that self-organize and generate nontrivial morphological structures and behaviors. This chapter presents a brief…

适应与自组织系统 · 物理学 2018-01-09 Hiroki Sayama

We studied the roles of morphogenetic principles---heterogeneity of components, dynamic differentiation/re-differentiation of components, and local information sharing among components---in the self-organization of morphogenetic collective…

适应与自组织系统 · 物理学 2017-05-29 Hiroki Sayama

We outline a possible theoretical framework for the quantitative modeling of networked embodied cognitive systems. We notice that: 1) information self structuring through sensory-motor coordination does not deterministically occur in Rn…

适应与自组织系统 · 物理学 2013-05-21 Fabio Bonsignorio

Microelectronic morphogenesis is the creation and maintenance of complex functional structures by microelectronic information within shape-changing materials. Only recently has in-built information technology begun to be used to reshape…

机器人学 · 计算机科学 2024-05-24 John S. McCaskill , Daniil Karnaushenko , Minshen Zhu , Oliver G. Schmidt

Based on a recently proposed non-equilibrium mechanism for spatial pattern formation [cond-mat/0312366] we study how morphogenesis can be controlled by locally coupled discrete dynamical networks, similar to gene regulation networks of…

分子网络 · 定量生物学 2007-05-23 Thimo Rohlf , Stefan Bornholdt

Understanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how…

细胞行为 · 定量生物学 2025-08-20 Ramya Deshpande , Francesco Mottes , Ariana-Dalia Vlad , Michael P. Brenner , Alma dal Co

One of the hallmarks of pre-migratory tumors is the progressive loss of compact morphology. To investigate how tumors may intrinsically regulate their shape during growth, we employ a three-dimensional (3D) vertex model of multicellular…

软凝聚态物质 · 物理学 2026-02-09 Urban Železnik , Matej Krajnc , Tanmoy Sarkar

Morphogenesis, the establishment and repair of emergent complex anatomy by groups of cells, is a fascinating and biomedically-relevant problem. One of its most fascinating aspects is that a developing embryo can reliably recover from…

分子网络 · 定量生物学 2022-11-03 Joel Grodstein , Michael Levin

Whereas naturally occurring swarms thrive when crowded, physical interactions in robotic swarms are either avoided or carefully controlled, thus limiting their operational density. Here we present a mechanical design rule that allows robots…

软凝聚态物质 · 物理学 2023-02-24 Matan Yah Ben Zion , Jeremy Fersula , Nicolas Bredeche , Olivier Dauchot

We argue that embryological morphogenesis provides a model of how massive swarms of microscopic agents can be coordinated to assemble complex, multiscale hierarchical structures. This is accomplished by understanding natural morphogenetic…

多智能体系统 · 计算机科学 2019-08-26 Bruce J. MacLennan , Allen C. McBride

Internal computational models of physical bodies are fundamental to the ability of robots and animals alike to plan and control their actions. These "self-models" allow robots to consider outcomes of multiple possible future actions,…

机器人学 · 计算机科学 2021-11-23 Boyuan Chen , Robert Kwiatkowski , Carl Vondrick , Hod Lipson

One of the major challenges in biology concerns the integration of data across length and time scales into a consistent framework: how do macroscopic properties and functionalities arise from the molecular regulatory networks - and how can…

计算工程、金融与科学 · 计算机科学 2015-10-20 Dagmar Iber , Zahra Karimaddini , Erkan Ünal

This study presents a theoretical model for a self-replicating mechanical system inspired by biological processes within living cells and supported by computer simulations. The model decomposes self-replication into core components, each of…

其他定量生物学 · 定量生物学 2025-02-18 Ralph P. Lano

Morphogenesis of complex body shapes is reproducible despite the noise inherent in the underlying morphogenetic processes. However, how these morphogenetic processes work together to achieve this reproducibility remains unclear. Here, we…

细胞行为 · 定量生物学 2025-12-24 Dominic K Devlin , Austen RD Ganley , Nobuto Takeuchi

Morphological regeneration is an important feature that highlights the environmental adaptive capacity of biological systems. Lack of this regenerative capacity significantly limits the resilience of machines and the environments they can…

神经与进化计算 · 计算机科学 2021-02-09 Kazuya Horibe , Kathryn Walker , Sebastian Risi

Based on a non-equilibrium mechanism for spatial pattern formation we study how position information can be controlled by locally coupled discrete dynamical networks, similar to gene regulation networks of cells in a developing…

分子网络 · 定量生物学 2009-08-26 Thimo Rohlf , Stefan Bornholdt

Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or…

Morphogenesis, the process by which an adult organism emerges from a single cell, has fascinated humans for a long time. Modelling this process can provide novel insights into development and the principles that orchestrate the…

组织与器官 · 定量生物学 2018-06-13 M. D. Peters , L. D. Wittwer , A. Stopka , D. Barac , C. Lang , D. Iber
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