ARCHON: Theory and Practice
ARCHON: Theory and Practice
This paper describes the state of the ARCHON project at its halfway stage. It outlines why a Distributed AI approach is appropriate for large industrial applications, the benefits which accrue and highlights those domain characteristics which have had significant bearing on the design process. The ARCHON functional architecture is described and a clear mapping with the design forces is made. The problem of constructing a general architecture which is sufficiently powerful for real-size applications is raised and two mechanisms used within ARCHON for achieving this objective are identified. The first mechanism is to combine generic, declarative knowledge related to cooperation and control with situated action formalisms which are tailored to the particular application. The second approach is to provide general structures which can be instantiated with domain specific information.
179-195
Kluwer Academic Publishers
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wittig, T.
10192d6a-e132-44c3-acb1-0823f8cf7070
1992
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wittig, T.
10192d6a-e132-44c3-acb1-0823f8cf7070
Jennings, N. R. and Wittig, T.
(1992)
ARCHON: Theory and Practice.
In,
Avouris, N. M. and Gasser, L.
(eds.)
Distributed Artificial Intelligence: Theory and Praxis.
Distributed Artificial Intelligence: Theory and Praxis (01/01/92)
Kluwer Academic Publishers, .
Record type:
Book Section
Abstract
This paper describes the state of the ARCHON project at its halfway stage. It outlines why a Distributed AI approach is appropriate for large industrial applications, the benefits which accrue and highlights those domain characteristics which have had significant bearing on the design process. The ARCHON functional architecture is described and a clear mapping with the design forces is made. The problem of constructing a general architecture which is sufficiently powerful for real-size applications is raised and two mechanisms used within ARCHON for achieving this objective are identified. The first mechanism is to combine generic, declarative knowledge related to cooperation and control with situated action formalisms which are tailored to the particular application. The second approach is to provide general structures which can be instantiated with domain specific information.
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DAI-THEORY-PRAXIS.pdf
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Published date: 1992
Venue - Dates:
Distributed Artificial Intelligence: Theory and Praxis, 1992-01-01
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 252087
URI: http://eprints.soton.ac.uk/id/eprint/252087
PURE UUID: 9dabf4fd-6133-4e73-a18e-de1155c0b94a
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Date deposited: 05 Dec 2002
Last modified: 19 Mar 2024 17:45
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Contributors
Author:
N. R. Jennings
Author:
T. Wittig
Editor:
N. M. Avouris
Editor:
L. Gasser
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