Gradient-based Self-organisation Patterns of Anticipative Adaptation

@talk{pianinisaso2012,
    abstract = {The self-organisation Gradient pattern is known to be a key spatial data structure to make information local to its source become global knowledge, and to dynamically and adaptively steer agents to that source even in mobile and faulty environments -- e.g. when obstacles unpredictably appear. In this paper we conceive new self-organisation mechanisms built upon this pattern to tackle anticipative adaptation. We ensure that the retrieval of a target of interest proactively reacts to locally-available information about future events, namely, the knowledge about future obstacles (e.g., expected jams or road interruption in a traffic control scenario) is used to emergently compute alternative and faster paths.},
    address = {Lyon, France},
    apice = {PianiniSaso2012},
    author = {Pianini, Danilo and Viroli, Mirko and Montagna, Sara},
    date = {2012-09-11},
    howpublished = {6th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2012)},
    language = {en},
    month = sep,
    slideshare = {http://www.slideshare.net/DanySK/gradientbased-selforganisation-patterns-of-anticipative-adaptation},
    sort = {talk},
    speaker = {Pianini, Danilo},
    title = {Gradient-based Self-organisation Patterns of Anticipative Adaptation},
    type = {Talk},
    year = 2012
}