Artificial Life最新文献_第2页

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":" ","pages":"1-18"},"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":" ","pages":"1-20"},"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

Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research. 文化进化中的开放性：开放式进化研究的新维度》。

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-01 DOI: 10.1162/artl_a_00406

James M Borg, Andrew Buskell, Rohan Kapitany, Simon T Powers, Eva Reindl, Claudio Tennie

{"title":"Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research.","authors":"James M Borg, Andrew Buskell, Rohan Kapitany, Simon T Powers, Eva Reindl, Claudio Tennie","doi":"10.1162/artl_a_00406","DOIUrl":"10.1162/artl_a_00406","url":null,"abstract":"The goal of Artificial Life research, as articulated by Chris Langton, is \"to contribute to theoretical biology by locating life-as-we-know-it within the larger picture of life-as-it-could-be.\" The study and pursuit of open-ended evolution in artificial evolutionary systems exemplify this goal. However, open-ended evolution research is hampered by two fundamental issues: the struggle to replicate open-endedness in an artificial evolutionary system and our assumption that we only have one system (genetic evolution) from which to draw inspiration. We argue not only that cultural evolution should be seen as another real-world example of an open-ended evolutionary system but that the unique qualities seen in cultural evolution provide us with a new perspective from which we can assess the fundamental properties of, and ask new questions about, open-ended evolutionary systems, especially with regard to evolved open-endedness and transitions from bounded to unbounded evolution. Here we provide an overview of culture as an evolutionary system, highlight the interesting case of human cultural evolution as an open-ended evolutionary system, and contextualize cultural evolution by developing a new framework of (evolved) open-ended evolution. We go on to provide a set of new questions that can be asked once we consider cultural evolution within the framework of open-ended evolution and introduce new insights that we may be able to gain about evolved open-endedness as a result of asking these questions.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":" ","pages":"417-438"},"PeriodicalIF":1.6,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9902353","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

Interaction Rules Supporting Effective Flocking Behavior. 支持有效成群行为的互动规则

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-01 DOI: 10.1162/artl_a_00438

Nicola Milano, Stefano Nolfi

引用次数: 0

Self-Organization and Phase Transitions in Driven Cellular Automata. 驱动型细胞自动机的自组织和相变

IF 1.6 4区计算机科学

Artificial Life Pub Date : 2024-08-01 DOI: 10.1162/artl_a_00437

J Hank Rainwater

引用次数: 0

A Word From the Editors (Editorial 30:3). 编辑的话》（第 30:3 期社论）。