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Distributed Planning Algorithm for Coalition Logistics in Semi-trusted Environment 半可信环境下联合物流的分布式规划算法
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.26
M. Rehák, M. Pechoucek, P. Volf
{"title":"Distributed Planning Algorithm for Coalition Logistics in Semi-trusted Environment","authors":"M. Rehák, M. Pechoucek, P. Volf","doi":"10.1109/DIS.2006.26","DOIUrl":"https://doi.org/10.1109/DIS.2006.26","url":null,"abstract":"We present a collective approach to coalition logistics planning that presents the features crucial for application in an adversarial environment: planning and communication efficiency, well-defined levels of information to be shared, tight integration of trustfulness with the planning and stability with respect to imprecise trustfulness values. To achieve this goal, we combine multi-agent negotiation with efficient fuzzy and flexible linear programming techniques from operation research field. Alternating rounds of global optimization and restricted negotiation split the task into sub-tasks, create teams, assign them to the tasks and provide a task-resource mapping. Resulting plan execution can be easily verified and verification results can be used to update the trust and social models and potentially to perform re-planning immediately","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129895231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Formalization of Multi-Dimensional Responsibility Taylorism versus Socio-Technical Systems Design 多维责任泰勒制的形式化与社会技术系统设计
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.31
Lambèr M. M. Royakkers, Maarten Verkerk
{"title":"Formalization of Multi-Dimensional Responsibility Taylorism versus Socio-Technical Systems Design","authors":"Lambèr M. M. Royakkers, Maarten Verkerk","doi":"10.1109/DIS.2006.31","DOIUrl":"https://doi.org/10.1109/DIS.2006.31","url":null,"abstract":"We analyze the organizational structure and explain the added value and the effects of such structure on the involved agents. We argue that organizational structures should be seen along at least three dimensions, instead of just one: integrality, power and information. The main aim of the research is to provide a formal analysis of the individual responsibilities. We show how the three dimensions of an organizational structure determine the responsibilities within a Tayloristic and a socio-technical organization","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130594473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Behavior Fusion Estimation for Robot Learning from Demonstration 基于演示的机器人学习行为融合估计
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.15
M. Nicolescu, O. Jenkins, A. Olenderski
{"title":"Behavior Fusion Estimation for Robot Learning from Demonstration","authors":"M. Nicolescu, O. Jenkins, A. Olenderski","doi":"10.1109/DIS.2006.15","DOIUrl":"https://doi.org/10.1109/DIS.2006.15","url":null,"abstract":"A critical challenge in designing robot systems that learn from demonstration is the ability to map the behavior of the trainer as sensed by the robot onto an existing repertoire of the robot's basic/primitive capabilities. Observed behavior of the teacher may constitute a combination (or superposition) of the robot's individual primitives. Once a task is demonstrated, our method learns a fusion (superposition) of primitives (as a vector of weights) applicable to situations encountered by the robot for performing the same task. Our method allows a robot to infer essential aspects of the demonstrated tasks without specifically tailored primitive behaviors. We validate our approach in a simulated environment with a Pioneer 3DX mobile robot. We demonstrate the advantages of our learning approach through comparison with manually coded controllers and sequential learning","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Virtual-Head Robot Tracking and Three-Point l-l Control for Multiple Mobile Robots 虚拟头部机器人跟踪与多移动机器人三点l-l控制
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.74
A. Nguyen, Q. Ha, H. Nguyen
{"title":"Virtual-Head Robot Tracking and Three-Point l-l Control for Multiple Mobile Robots","authors":"A. Nguyen, Q. Ha, H. Nguyen","doi":"10.1109/DIS.2006.74","DOIUrl":"https://doi.org/10.1109/DIS.2006.74","url":null,"abstract":"In the context of robotic formation control, the commonly-used virtual robot tracking combined with l-l control has limitations in the establishment of a line formation, the possibility of collision between robots, and the singularity cases involved. This paper presents a new approach called the virtual-head robot tracking and three-point l-l control incorporated with a reactive control scheme. The proposed approach, tested through extensive simulations, can demonstrate line formations of a group of mobile robots with singularities alleviated and inter-robot collision completely avoided","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129196932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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