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Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. Second IEEE International Conference on

Date 20-24 Oct. 2008

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  • [Front cover]

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  • [Title page i]

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  • [Title page iii]

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  • [Copyright notice]

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  • Table of contents

    Page(s): v - ix
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  • SASOW 2008 Workshop Chairs' Foreword

    Page(s): x
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  • SASOW 2008 Reviewers

    Page(s): xi - xiii
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  • Workshop Environment-Mediated Coordination in Self-Organizing and Self-Adaptive Systems Foreword (ECOSOA)

    Page(s): xiv
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  • Workshop ECOSOA Committees

    Page(s): xv
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  • Workshop Pervasive Adaptation Foreword (PERADA)

    Page(s): xvi
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  • Workshop PERADA Committees

    Page(s): xvii
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  • Workshop Self-Adaptation for Robustness and Cooperation in Holonic Multi-agent Systems Foreword (SARC)

    Page(s): xviii
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  • Workshop SARC Committees

    Page(s): xix
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  • Workshop Decentralized Self Management for Grids, P2P, and User Communities Foreword (SELFMAN)

    Page(s): xx
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  • Workshop SELFMAN Committees

    Page(s): xxi
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  • Workshop Spatial Computing Foreword

    Page(s): xxii
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  • Workshop Spatial Computing Committees

    Page(s): xxiii
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  • A CA-Based Approach to Self-Organized Adaptive Environments: The Case of an Illumination Facility

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1124 KB) |  | HTML iconHTML  

    The ambient intelligence scenario depicts electronic environments that are sensitive and responsive to the presence of people. This paper presents an ambient intelligence system whose goal is to enhance the experience of pedestrians moving inside the related physical environment. In particular, in our approach the environment itself is endowed with a set of sensors that perceive the presence of humans (or other physical entities such as dogs, bicycles, cars) and interact with a set of actuators that choose their actions in an attempt improve the overall experience of these users. The specific scenario of application is the realization an adaptive illumination. The model guiding the interaction and action of sensors and actuators is a dissipative multilayered cellular automata, supporting a self-organization of the system as a response to the presence and movements of people inside it. The paper will introduce the model, as well as the results of simulations of its application in a concrete case study. A brief discussion of the potential use of this model and approach beyond this scenario will conclude the paper. View full abstract»

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  • Self-Organizing Integration of Competing Reasoners for Information Matching

    Page(s): 7 - 12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (434 KB) |  | HTML iconHTML  

    Self-organizing systems are robust, scalable, adaptive to a changing environment, and tolerant to noise and incomplete or conflicting information. These are the requirements for our information matching system (IMS) that organizes models of document contents and user interest in an abstract information space by relevance to provide any-time recommendations of other users (for collaboration) or documents (for information gathering) to intelligence analysts. In this report on research-in-progress, we present a plug-and-play integration architecture for multiple and possibly competing modelers of arbitrary (text, audio, video, etc) document contents that influence the emerging arrangement of document and user models. The contributions of these modelers are numerical similarity statements that specify attractive or repulsive forces, which guide the ongoing rearrangement of the current set of models. This self-organizing force-based arrangement process adjusts dynamically to changes in the document set or shifting user interest. Our paper also discusses related research, initial experiments that indicate satisfactory system-level behavior, and an upcoming evaluation exercise with actual users. View full abstract»

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  • ASSL Specification of Emergent Self-Adapting Behavior for NASA Swarm-Based Exploration Missions

    Page(s): 13 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (305 KB) |  | HTML iconHTML  

    We describe a biologically-inspired approach to modeling self-adapting behavior of NASA swarm-based exploration missions, whereby individual entities in the system can sacrifice themselves for the greater good of the entire system. We investigate aspects of possible emergent self-adapting behavior of swarm-based systems, inspired by the self-sacrifice behavior observed in some hive cultures. Moreover, we propose an ASSL specification model for the self-sacrifice behavior of the swarm individuals. ASSL (Autonomic System Specification Language) is a specification language dedicated to autonomic systems, and with which we have been experimenting with some positive results. View full abstract»

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  • Self-Adaptive Selective Sensor Network Querying

    Page(s): 19 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (286 KB) |  | HTML iconHTML  

    The reduction of power consumption during the deployment and operation of sensor networks has commonly been recognized as a key challenge. Many proposals have been put forth to save power by taking advantage of the inherent redundancies in sensor network's operation by minimizing the number of agents active in answering a query at any point in time. The highest level of power saving can be obtained when approximate query results are acceptable and the selection of active agents takes into consideration the intensity and speed of the event being monitored. A larger number of agents can cooperate during high intensity periods to ensure accuracy, while a lower number of agents is sufficient during quiet periods. In this paper, we propose an approach for self-adaptive selective querying. We introduce a set of metrics that allow each data sink to gauge the level of activity in its environment and adjust its querying strategy and intensity accordingly. We show experimental results and discuss future plans. View full abstract»

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  • Determining Object Safety Using a Multiagent, Collaborative System

    Page(s): 25 - 30
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (321 KB) |  | HTML iconHTML  

    We consider the problem of object safety: how objects endowed with processing, communication, and sensing capabilities can determine their safety. We assign an agent to each object capable of looking out for its own self interests, while concurrently collaborating with its neighbors and learning/reinforcing its beliefs from them. After considering related work, we propose a general framework consisting of agents with case-bases of threat detection systems and a mechanism for sharing and confirming beliefs with other agents. While our approach is designed to be applicable to object safety domains in general, we particularly consider its application to transport chain security. We further propose a testing framework that uses real sensor data and object safety scenario simulations to evaluate our approach. View full abstract»

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  • Hierarchical Organizations and a Supporting Software Architecture for Floating Car Data

    Page(s): 31 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (599 KB) |  | HTML iconHTML  

    The use of floating car data is an interesting method to monitor traffic. Vehicles act as local traffic sensors and data from individual vehicles is aggregated into higher-level information. We propose a number of reusable organization abstractions and a software architecture to support a multi-agent approach applied to floating car data. The abstractions are based on the idea of hierarchical organizations which are used as units of data aggregation. In this approach, an agent is deployed on each vehicle. At the lowest level, nearby vehicle agents collaborate to aggregate individual traffic data and distribute it to local clients such as traffic light controllers. At higher-levels, organizations are built up from lower-level organizations and represent specific aggregation interests such as the total congestion level in a specific area. A prototype was built, supporting a two-level organization structure, and is used in a simulated traffic environment as initial validation. View full abstract»

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  • An Ecological Perspective on Future Service Environments

    Page(s): 37 - 42
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (247 KB) |  | HTML iconHTML  

    This paper addresses a business scenario based on so-called tradable micro-services which is intended to explain the dynamics of a market to which actors contribute both as consumers and providers of telecommunication and Web based services. We argue that a service evolution is possible with leads to services which are adapted to the needs and objectives of various virtual communities. Furthermore, we discuss mechanisms of mutual economic and social dependence of tradable micro-services and the associated communities. View full abstract»

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  • Environment Mediated Multi Agent Simulation Tools – A Comparison

    Page(s): 43 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (375 KB) |  | HTML iconHTML  

    In this paper, we assess five tools that allow the specification and execution of multi-agent based simulations. These tools are NetLogo, MASON, Ascape, RePastS and DIVAs. View full abstract»

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