Protocol Requirements for Self-organizing Artifacts: Towards an Ambient Intelligence

05/2004; DOI: 10.1007/978-3-642-17635-7_17
Source: arXiv


We discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly integrated to provide an "ambient intelligence" that responds to the user's desires without requiring explicit programming or commands. While the hardware and software technology to build such systems already exists, as yet there is no standard protocol that can learn new meanings. We propose the first steps in the development of such a protocol, which would need to be adaptive, extensible, and open to the community, while promoting self-organization. We argue that devices, interacting through "game-like" moves, can learn to agree about how to communicate, with whom to cooperate, and how to delegate and coordinate specialized tasks. Thus, they may evolve a distributed cognition or collective intelligence capable of tackling complex tasks.

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Available from: Francis Heylighen, Mar 07, 2013
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    • "It must " know " or " anticipate " what to do according to the current situation and previous history. Thus, the main problem, i.e. what the elements should do, could be divided into the problems of communication, cooperation, and coordination [Gershenson and Heylighen 2004]. For a system to self-organize, its elements need to communicate: they need to " understand " what other elements, or mediators, " want " to tell them. "
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    ABSTRACT: Our technologies complexify our environments. Thus, new technologies need to deal with more and more complexity. Several efforts have been made to deal with this complexity using the concept of self-organization. However, in order to promote its use and understanding, we must first have a pragmatic understanding of complexity and self-organization. This paper presents a conceptual framework for speaking about self-organizing systems. The aim is to provide a methodology useful for designing and controlling systems developed to solve complex problems. First, practical notions of complexity and self-organization are given. Then, starting from the agent metaphor, a conceptual framework is presented. This provides formal ways of speaking about "satisfaction" of elements and systems. The main premise of the methodology claims that reducing the "friction" or "interference" of interactions between elements of a system will result in a higher "satisfaction" of the system, i.e. better performance. The methodology discusses different ways in which this can be achieved. A case study on self-organizing traffic lights illustrates the ideas presented in the paper.
    Full-text · Article · Jun 2005
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    • "One of the more immediate application domains is ambient intelligence [ISTAG, 2003]. This refers to the vision of everyday artefacts and devices such as mobile phones, coffee machines and fridges exchanging information and coordinating with each other so as to provide the best possible service to the user, without needing any programming or prompting—thus effectively extending the user's mind into his or her physical environment [Gershenson & Heylighen, 2004]. "
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    ABSTRACT: We propose a first step in the development,of an integrated theory,of the ,emergence ,of distributed ,cognition/extended mind. Distributed cognition is seen as the confluence of collective intelligence and “situatedness”, or the extension of cognitive processes into the physical environment. The framework ,is based ,on five ,fundamental assumptions: 1) groups of agents self-organize to form a differentiated, coordinated system, adapted to its environment, 2) the system co-opts external media for internal propagation of information, 3) the resulting distributed cognitive system can be modelled as a learning, connectionist network, 4) information in the network is transmitted selectively, 5) novel knowledge emerges through non-linear, recurrent interactions. The implication for collective intentionality is that such a self-organizing agent collective can develop “mental content” that is not reducible to individual cognitions. Extended Mind: collective intelligence and distributed cognition
    Full-text · Article · Jan 2004
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