Coordination Techniques for Distributed Artificial Intelligence
N. Jennings. Foundations of Distributed Artificial Intelligence, глава 6, Wiley, (1996)
Аннотация
Coordination, the process by which an agent reasons about its local
actions and the (anticipated) actions of others to try and ensure
the community acts in a coherent manner, is perhaps the key problem
of the discipline of Distributed Artificial Intelligence (DAI). In
order to make advances it is important that the theories and principles
which guide this central activity are uncovered and analysed in a
systematic and rigourous manner. To this end, this paper models agent
communities using a distributed goal search formalism, and argues
that commitments (pledges to undertake a specific course of action)
and conventions (means of monitoring commitments in changing circumstances)
are the foundation of coordination in all DAI systems.
%0 Book Section
%1 Jennings:1996:ch6
%A Jennings, Nicholas R.
%B Foundations of Distributed Artificial Intelligence
%D 1996
%E O'Hare, G. M. P.
%E Jennings, Nicholas R.
%I Wiley
%K imported thesis
%P 187--210
%T Coordination Techniques for Distributed Artificial Intelligence
%U http://eprints.soton.ac.uk/252187/
%X Coordination, the process by which an agent reasons about its local
actions and the (anticipated) actions of others to try and ensure
the community acts in a coherent manner, is perhaps the key problem
of the discipline of Distributed Artificial Intelligence (DAI). In
order to make advances it is important that the theories and principles
which guide this central activity are uncovered and analysed in a
systematic and rigourous manner. To this end, this paper models agent
communities using a distributed goal search formalism, and argues
that commitments (pledges to undertake a specific course of action)
and conventions (means of monitoring commitments in changing circumstances)
are the foundation of coordination in all DAI systems.
%& 6
@incollection{Jennings:1996:ch6,
abstract = {Coordination, the process by which an agent reasons about its local
actions and the (anticipated) actions of others to try and ensure
the community acts in a coherent manner, is perhaps the key problem
of the discipline of Distributed Artificial Intelligence (DAI). In
order to make advances it is important that the theories and principles
which guide this central activity are uncovered and analysed in a
systematic and rigourous manner. To this end, this paper models agent
communities using a distributed goal search formalism, and argues
that commitments (pledges to undertake a specific course of action)
and conventions (means of monitoring commitments in changing circumstances)
are the foundation of coordination in all DAI systems.},
added-at = {2017-03-16T11:50:55.000+0100},
author = {Jennings, Nicholas R.},
biburl = {https://www.bibsonomy.org/bibtex/221b310122a7c41a205b4c0cb65ba7358/krevelen},
booktitle = {Foundations of Distributed Artificial Intelligence},
chapter = 6,
editor = {O'Hare, G. M. P. and Jennings, Nicholas R.},
interhash = {7ad7d427b051db246f28a49c518166dd},
intrahash = {21b310122a7c41a205b4c0cb65ba7358},
keywords = {imported thesis},
owner = {Rick},
pages = {187--210},
publisher = {Wiley},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Coordination Techniques for Distributed Artificial Intelligence},
url = {http://eprints.soton.ac.uk/252187/},
year = 1996
}