Artificial Life最新文献

On Recombination. 关于重组

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-10-11 DOI: 10.1162/artl_a_00453

Larry Bull

引用次数: 0

(A)Life as It Could Be. (A)可能的生活。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-10-11 DOI: 10.1162/artl_a_00455

Randall D Beer

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Comment on Randall D. Beer's "A(Life) as It Could Be". 评论 Randall D. Beer 的 "A（Life）as It Could Be"。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-10-11 DOI: 10.1162/artl_a_00456

Inman Harvey

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How Brains Perceive the World. 大脑如何感知世界

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-10-11 DOI: 10.1162/artl_a_00454

Christoph Adami

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Survival and Evolutionary Adaptation of Populations Under Disruptive Habitat Change: A Study With Darwinian Cellular Automata. 破坏性生境变化下种群的生存与进化适应：达尔文细胞自动机研究》。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-10-11 DOI: 10.1162/artl_a_00457

Hanna Derets, Chrystopher L Nehaniv

{"title":"Survival and Evolutionary Adaptation of Populations Under Disruptive Habitat Change: A Study With Darwinian Cellular Automata.","authors":"Hanna Derets, Chrystopher L Nehaniv","doi":"10.1162/artl_a_00457","DOIUrl":"https://doi.org/10.1162/artl_a_00457","url":null,"abstract":"The evolution of living beings with continuous and consistent progress toward adaptation and ways to model evolution along principles as close as possible to Darwin's are important areas of focus in Artificial Life. Though genetic algorithms and evolutionary strategies are good methods for modeling selection, crossover, and mutation, biological systems are undeniably spatially distributed processes in which living organisms interact with locally available individuals rather than with the entire population at once. This work presents a model for the survival of organisms during a change in the environment to a less favorable one, putting them at risk of extinction, such as many organisms experience today under climate change or local habitat loss or fragmentation. Local spatial structure of resources and environmental quality also impacts the capacity of an evolving population to adapt. The problem is considered on a probabilistic cellular automaton with update rules based on the principles of genetic algorithms. To carry out simulations according to the described model, the Darwinian cellular automata are introduced, and the software has been designed with the code available open source. An experimental evaluation of the behavioral characteristics of the model was carried out, completed by a critical evaluation of the results obtained, parametrically describing conditions and thresholds under which extinction or survival of the population may occur.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-Reproduction and Evolution in Cellular Automata: 25 Years After Evoloops 细胞自动机的自我繁殖与进化：Evoloops 25 年之后

IF 2.6 4区计算机科学

Artificial Life Pub Date : 2024-09-13 DOI: 10.1162/artl_a_00451

Hiroki Sayama, Chrystopher L. Nehaniv

引用次数: 0

Emergence of Self-Replicating Hierarchical Structures in a Binary Cellular Automaton. 二元细胞自动机中自复制分层结构的出现

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-16 DOI: 10.1162/artl_a_00449

Bo Yang

引用次数: 0

Editorial: Special Issue "The Distributed Ghost"-Cellular Automata, Distributed Dynamical Systems, and Their Applications to Intelligence. 编辑：特刊 "分布式幽灵"--细胞自动机、分布式动力系统及其在智能领域的应用。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-16 DOI: 10.1162/artl_e_00450

Stefano Nichele, Hiroki Sayama, Eric Medvet, Chrystopher Nehaniv, Mario Pavone

引用次数: 0

How Perception, Actuation, and Communication Impact the Emergence of Collective Intelligence in Simulated Modular Robots. 感知、执行和交流如何影响仿真模块化机器人集体智慧的形成。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-15 DOI: 10.1162/artl_a_00447

Francesco Rusin, Eric Medvet

{"title":"How Perception, Actuation, and Communication Impact the Emergence of Collective Intelligence in Simulated Modular Robots.","authors":"Francesco Rusin, Eric Medvet","doi":"10.1162/artl_a_00447","DOIUrl":"https://doi.org/10.1162/artl_a_00447","url":null,"abstract":"Modular robots are collections of simple embodied agents, the modules, that interact with each other to achieve complex behaviors. Each module may have a limited capability of perceiving the environment and performing actions; nevertheless, by behaving coordinately, and possibly by sharing information, modules can collectively perform complex actions. In principle, the greater the actuation, perception, and communication abilities of the single module are the more effective is the collection of modules. However, improved abilities also correspond to more complex controllers and, hence, larger search spaces when designing them by means of optimization. In this article, we analyze the impact of perception, actuation, and communication abilities on the possibility of obtaining good controllers for simulated modular robots, that is, controllers that allow the robots to exhibit collective intelligence. We consider the case of modular soft robots, where modules can contract, expand, attach, and detach from each other, and make them face two tasks (locomotion and piling), optimizing their controllers with evolutionary computation. We observe that limited abilities often do not prevent the robots from succeeding in the task, a finding that we explain with (a) the smaller search space corresponding to limited actuation, perception, and communication abilities, which makes the optimization easier, and (b) the fact that, for this kind of robot, morphological computation plays a significant role. Moreover, we discover that what matters more is the degree of collectivity the robots are required to exhibit when facing the task.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141992506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolving Novel Gene Regulatory Networks for Structural Engineering Designs. 为结构工程设计开发新的基因调控网络

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-15 DOI: 10.1162/artl_a_00448

Rahul Dubey, Simon Hickinbotham, Andrew Colligan, Imelda Friel, Edgar Buchanan, Mark Price, Andy M Tyrrell

{"title":"Evolving Novel Gene Regulatory Networks for Structural Engineering Designs.","authors":"Rahul Dubey, Simon Hickinbotham, Andrew Colligan, Imelda Friel, Edgar Buchanan, Mark Price, Andy M Tyrrell","doi":"10.1162/artl_a_00448","DOIUrl":"https://doi.org/10.1162/artl_a_00448","url":null,"abstract":"Engineering design optimization poses a significant challenge, usually requiring human expertise to discover superior solutions. Although various search techniques have been employed to generate diverse designs, their effectiveness is often limited by problem-specific parameter tuning, making them less generalizable and scalable. This article introduces a framework inspired by evolutionary and developmental (evo-devo) concepts, aiming to automate the evolution of structural engineering designs. In biological systems, evo-devo governs the growth of single-cell organisms into multicellular organisms through the use of gene regulatory networks (GRNs). GRNs are inherently complex and highly nonlinear, and this article explores the use of neural networks and genetic programming as artificial representations of GRNs to emulate such behaviors. To evolve a wide range of Pareto fronts for artificial GRNs, this article introduces a new technique, a real value-encoded neuroevolutionary method termed real-encoded NEAT (RNEAT). The performance of RNEAT is compared with that of two well-known evolutionary search techniques across different 2-D and 3-D problems. The experimental results demonstrate two key findings. First, the proposed framework effectively generates a population of GRNs that can produce diverse structures for both 2-D and 3-D problems. Second, the proposed RNEAT algorithm outperforms its competitors on more than 50% of the problems examined. These results validate the proof of concept underlying the proposed evo-devo-based engineering design evolution.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141992505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0