Swarm Intelligence最新文献_第6页

Collective decision-making in living and artificial systems: editorial 生命系统和人工系统中的集体决策：社论

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-06-01 DOI: 10.1007/s11721-021-00195-5

A. Reina, E. Ferrante, Gabriele Valentini

引用次数: 6

Negative updating applied to the best-of-n problem with noisy qualities 负更新应用于带噪声的n最优问题

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-05-25 DOI: 10.1007/s11721-021-00188-4

Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield

{"title":"Negative updating applied to the best-of-n problem with noisy qualities","authors":"Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield","doi":"10.1007/s11721-021-00188-4","DOIUrl":"https://doi.org/10.1007/s11721-021-00188-4","url":null,"abstract":"The ability to perform well in the presence of noise is an important consideration when evaluating the effectiveness of a collective decision-making framework. Any system deployed for real-world applications will have to perform well in complex and uncertain environments, and a component of this is the limited reliability and accuracy of evidence sources. In particular, in swarm robotics there is an emphasis on small and inexpensive robots which are often equipped with low-cost sensors more prone to suffer from noisy readings. This paper presents an exploratory investigation into the robustness of a negative updating approach to the best-of-n problem which utilises negative feedback from direct pairwise comparison of options and opinion pooling. A site selection task is conducted with a small-scale swarm of five e-puck robots choosing between (n=7) options in a semi-virtual environment with varying levels of sensor noise. Simulation experiments are then used to investigate the scalability of the approach. We now vary the swarm size and observe the behaviour as the number of options n increases for different error levels with different pooling regimes. Preliminary results suggest that the approach is robust to noise in the form of noisy sensor readings for even small populations by supporting self-correction within the population.","PeriodicalId":51284,"journal":{"name":"Swarm Intelligence","volume":"355 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505608","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: 9

Multi-featured collective perception with Evidence Theory: tackling spatial correlations 基于证据理论的多特征集体感知:处理空间相关性

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-05-22 DOI: 10.1007/s11721-021-00192-8

Palina Bartashevich, Sanaz Mostaghim

{"title":"Multi-featured collective perception with Evidence Theory: tackling spatial correlations","authors":"Palina Bartashevich, Sanaz Mostaghim","doi":"10.1007/s11721-021-00192-8","DOIUrl":"https://doi.org/10.1007/s11721-021-00192-8","url":null,"abstract":"Collective perception allows sparsely distributed agents to form a global view on a common spatially distributed problem without any direct access to global knowledge and only based on a combination of locally perceived information. However, the evidence gathered from the environment is often subject to spatial correlations and depends on the movements of the agents. The latter is not always easy to control and the main question is how to share and to combine the estimated information to achieve the most precise global estimate in the least possible time. The current article aims at answering this question with the help of evidence theory, also known as Dempster–Shafer theory, applied to the collective perception scenario as a collective decision-making problem. We study eight most common belief combination operators to address the arising conflict between different sources of evidence in a highly dynamic multi-agent setting, driven by modulation of positive feedback. In comparison with existing approaches, such as voter models, the presented framework operates on quantitative belief assignments of the agents based on the observation time of the options according to the agents’ opinions. The evaluated results on an extended benchmark set for multiple options ((n>2)) indicate that the proportional conflict redistribution (PCR) principle allows a collective of small size ((N=20)), occupying (3.5%) of the surface, to successfully resolve the conflict between clustered areas of features and reach a consensus with almost (100%) certainty up to (n=5).","PeriodicalId":51284,"journal":{"name":"Swarm Intelligence","volume":"25 8","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505627","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: 10

CONSOLE: intruder detection using a UAV swarm and security rings 控制台：使用无人机群和安全环检测入侵者

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-05-19 DOI: 10.1007/s11721-021-00193-7

Daniel Stolfi, Matthias R. Brust, Grégoire Danoy, P. Bouvry

引用次数: 9

Nest choice in arboreal ants is an emergent consequence of network creation under spatial constraints 树栖蚂蚁的巢选择是在空间约束下网络创造的一个紧急结果

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-04-24 DOI: 10.1007/s11721-021-00187-5

Joanna Chang, Scott Powell, Elva J. H. Robinson, Matina C. Donaldson-Matasci

{"title":"Nest choice in arboreal ants is an emergent consequence of network creation under spatial constraints","authors":"Joanna Chang, Scott Powell, Elva J. H. Robinson, Matina C. Donaldson-Matasci","doi":"10.1007/s11721-021-00187-5","DOIUrl":"https://doi.org/10.1007/s11721-021-00187-5","url":null,"abstract":"Biological transportation networks must balance competing functional priorities. The self-organizing mechanisms used to generate such networks have inspired scalable algorithms to construct and maintain low-cost and efficient human-designed transport networks. The pheromone-based trail networks of ants have been especially valuable in this regard. Here, we use turtle ants as our focal system: In contrast to the ant species usually used as models for self-organized networks, these ants live in a spatially constrained arboreal environment where both nesting options and connecting pathways are limited. Thus, they must solve a distinct set of challenges which resemble those faced by human transport engineers constrained by existing infrastructure. Here, we ask how a turtle ant colony’s choice of which nests to include in a network may be influenced by their potential to create connections to other nests. In laboratory experiments with Cephalotes varians and Cephalotes texanus, we show that nest choice is influenced by spatial constraints, but in unexpected ways. Under one spatial configuration, colonies preferentially occupied more connected nest sites; however, under another spatial configuration, this preference disappeared. Comparing the results of these experiments to an agent-based model, we demonstrate that this apparently idiosyncratic relationship between nest connectivity and nest choice can emerge without nest preferences via a combination of self-reinforcing random movement along constrained pathways and density-dependent aggregation at nests. While this mechanism does not consistently lead to the de-novo construction of low-cost, efficient transport networks, it may be an effective way to expand a network, when coupled with processes of pruning and restructuring.","PeriodicalId":51284,"journal":{"name":"Swarm Intelligence","volume":"22 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138538392","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: 2

Analysis and control of agreement and disagreement opinion cascades 同意和不同意意见级联的分析和控制

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-03-22 DOI: 10.1007/s11721-021-00190-w

Alessio Franci, Anastasia S. Bizyaeva, Shinkyu Park, Naomi Ehrich Leonard

引用次数: 13

On multi-human multi-robot remote interaction: a study of transparency, inter-human communication, and information loss in remote interaction 关于多人多机器人远程交互:远程交互中透明性、人与人之间的沟通和信息丢失的研究

IF 2.6 4区计算机科学

Swarm Intelligence Pub Date : 2021-02-04 DOI: 10.1007/s11721-021-00209-2

Jayam Patel, P. Sonar, Carlo Pinciroli

引用次数: 3

Assessing the robustness of decentralized gathering: a multi-agent approach on micro-biological systems 评估分散收集的鲁棒性:微生物系统的多智能体方法