{"title":"群体建构的柱头化、叙事化导向","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":"{\"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}","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}
Stigmergic, Diegetic Guidance of Swarm Construction
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.