{"title":"Stigmergic, Diegetic Guidance of Swarm Construction","authors":"Samuel Truman, Jakob Seitz, S. Mammen","doi":"10.1109/ACSOS-C52956.2021.00062","DOIUrl":null,"url":null,"abstract":"No matter how autonomous a technical system is, in the end, the goals it is meant to serve are specified by humans. This also applies to systems implementing self-organized construction. In this paper, we present an approach to guide such systems by means of an accessible spatial user interface. We inferred its basic requirements from a previously published taxonomy on interactive self-organizing systems. We found solutions to these requirements that we could all realize based on the very simple idea to instruct all aspects of a swarm by means of spatially placed control points, innovating preceding virtual pheromone approaches. We implemented a very simple, yet effective model of a terrain-shaping swarm to test the guidance approach and to manually explore the generative space.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSOS-C52956.2021.00062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
No matter how autonomous a technical system is, in the end, the goals it is meant to serve are specified by humans. This also applies to systems implementing self-organized construction. In this paper, we present an approach to guide such systems by means of an accessible spatial user interface. We inferred its basic requirements from a previously published taxonomy on interactive self-organizing systems. We found solutions to these requirements that we could all realize based on the very simple idea to instruct all aspects of a swarm by means of spatially placed control points, innovating preceding virtual pheromone approaches. We implemented a very simple, yet effective model of a terrain-shaping swarm to test the guidance approach and to manually explore the generative space.