2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops最新文献_第6页

"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems “认识你自己”——智能技术系统中的计算自我反思

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.25

Sven Tomforde, J. Hähner, S. Mammen, Christian Gruhl, B. Sick, K. Geihs

引用次数: 24

Run-Time Verification of MSMAS Norms Using Event Calculus 使用事件演算的MSMAS规范运行时验证

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.31

Emad Eldeen Elakehal, M. Montali, J. Padget

引用次数: 2

Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization 网络系统中的复杂结构和集体动力学:自适应和自组织的基础

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.7

Ingo Scholtes, M. Esch

{"title":"Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization","authors":"Ingo Scholtes, M. Esch","doi":"10.1109/SASOW.2014.7","DOIUrl":"https://doi.org/10.1109/SASOW.2014.7","url":null,"abstract":"The study of complex networks and collective dynamics occurring in biological, social and technical systems has experienced a massive surge of interest both from academia and industry. Many of the results on the mechanisms underlying the self-organized formation of complex dynamic networks in natural and man-made systems have been derived based on a statistical physics perspective. In this tutorial, we provide a basic introduction to this perspective which will help attendees to benefit from the vast literature on self-organization and self-adaptation phenomena available in the fields of network science and complex systems. We cover basic models and abstractions for the study of static complex networks as well as dynamical processes like, e.g., information diffusion, random walks, synchronization or the propagation of cascading failures. We further introduce recent advances in the study of dynamic (social) networks and demonstrate how the resulting methods can be practically applied in the engineering of self-organizing and self-adaptive distributed systems and protocols.","PeriodicalId":6458,"journal":{"name":"2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"65 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85015234","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

Second International Workshop on Self-Adaptive and Self-Organising Socio-technical Systems (SASOST 2014) 第二届自适应自组织社会技术系统国际研讨会(SASOST 2014)

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.33

Gerrit Anders, J. Botev, M. Esch

引用次数: 0

Towards an Agent-Based Simulation Model for Schema Matching 基于agent的模式匹配仿真模型研究

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASO.2014.42

Hicham Assoudi, H. Lounis

引用次数: 1

Self-Governance by Transfiguration: From Learning to Prescription Changes 自我治理的变形:从学习到处方的变化

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASO.2014.19

Régis Riveret, A. Artikis, J. Pitt, E. Nepomuceno

{"title":"Self-Governance by Transfiguration: From Learning to Prescription Changes","authors":"Régis Riveret, A. Artikis, J. Pitt, E. Nepomuceno","doi":"10.1109/SASO.2014.19","DOIUrl":"https://doi.org/10.1109/SASO.2014.19","url":null,"abstract":"Reinforcement learning is a widespread mechanism for adapting the individual behaviour of autonomous agents, while norms are a well-established means for organising the common conduct of these agents. Therefore, norm-governed reinforcement learning agents appear to be a powerful bio-inspired, as well as socio-inspired, paradigm for the construction of decentralised, self-adapting, self-organising systems. However, the convergence of learning and norms is not as straightforward as it appears: learning can 'misguide' the development of norms, while norms can 'stall' the learning of optimal behaviour. In this paper, we investigate the self-governance of learning agents, or more specifically the domain-independent (de)construction at run-time of prescriptive systems from scratch, for and by learning agents, without any agent having complete information of the system. Most importantly, because prescriptions may also misguide agents, we allow them to repeal any misguiding prescriptions that have previously been enacted. Simulations illustrate the approach with experimental insights regarding scalability and timeliness in the construction of prescriptive systems.","PeriodicalId":6458,"journal":{"name":"2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"15 1","pages":"70-79"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81604206","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: 11

Collective Awareness for Collective Action in Socio-technical Systems 社会技术系统中集体行动的集体意识

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.37

Aikaterini Bourazeri, J. Pitt

引用次数: 8

Advanced Attacks to Trusted Communities in Multi-agent Systems 多代理系统中对可信社区的高级攻击

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.29

Jan Kantert, Lukas Klejnowski, Sven Tomforde, J. Hähner, C. Müller-Schloer

引用次数: 6

Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques 自适应多传感器系统:自我完善和自我修复技术的概念

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.22

Martin Jänicke, B. Sick, P. Lukowicz, D. Bannach

{"title":"Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques","authors":"Martin Jänicke, B. Sick, P. Lukowicz, D. Bannach","doi":"10.1109/SASOW.2014.22","DOIUrl":"https://doi.org/10.1109/SASOW.2014.22","url":null,"abstract":"Activity Recognition (AR) Systems more and more find their way into our daily lives, from monitoring daily activities to support in medical care. However, such systems tend to be used with narrowly defined specifications, demanding for application-dependent setup and configuration by their users. A long term goal are autonomous systems, being able to work with no (or minimal) user interaction. Closely related to that vision is the ability of autonomously adding further input sources (e.g., sensors) at run-time, leading to an increased dimensionality of the input-space. Our approach aims at systematically investigating methods necessary for the creation of self-adapting classification systems. This includes an architecture, based on Organic Computing (OC) principles, as well as the development of measures for comparing probabilistic models and procedures for evaluating classifiers of different dimensionality. With such evaluation techniques, systems should be able to adapt their system model at run-time in a self-organized manner. Besides self-improvement (adding a new sensor) we also address the problem of self-healing (replacing a sensor that dropped out).","PeriodicalId":6458,"journal":{"name":"2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"1 1","pages":"128-136"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91091120","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: 10

An Effective Implementation of Norms in Trust-Aware Open Self-Organising Systems 信任感知开放自组织系统中规范的有效实现

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2014-09-08 DOI: 10.1109/SASOW.2014.34

Jan-Philipp Steghöfer, Gerrit Anders, Jan Kantert, C. Müller-Schloer, W. Reif

引用次数: 4