Abstract
Co-ordination is one of the central research issues in Distributed Artificial Intelligence. Most of the efforts in designing co-ordination mechanisms set out from an agent-centred point of view: they see the individual actor with its local beliefs and reasoning capabilities as the foundation of all system properties. Our thesis is that co-ordination is best modelled from an environment-centred, social perspective, that considers the whole, situated system as the starting point of any analysis. We argue that this stance is reflected in Clancey's modification of the Knowledge-level hypothesis. On the basis of this modified hypothesis we introduce a distinction between co-ordination at the Knowledge- and at the Symbol-level. Finally, we present a Knowledge-level model of co-ordination and illustrate it by specifying the co-ordination processes of an intelligent traffic management system.
This work was supported by the Human Capital and Mobility Program (HCM) of the European Union, contract ERBCHBICT941611
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Ossowski, S., García-Serrano, A. (1996). A knowledge-level model of co-ordination. In: Zhang, C., Lukose, D. (eds) Distributed Artificial Intelligence Architecture and Modelling. DAI 1995. Lecture Notes in Computer Science, vol 1087. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61314-5_20
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DOI: https://doi.org/10.1007/3-540-61314-5_20
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