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3D Scientific Data Interpretation Using Cooperating Agents

3D Scientific Data Interpretation Using Cooperating Agents
3D Scientific Data Interpretation Using Cooperating Agents
Many organisations collect vast quantities of 3D scientific data in volumetric form for a range of purposes including resource exploration, market forecasting and process modelling. Traditionally, this data has been interpreted by human experts with only minimal software assistance. However such manual interpretation is a painstakingly slow and tedious process. Moreover, since interpretation involves subjective judgements and each interpreter has different scientific knowledge and experience, formulation of an effective interpretation often requires the co-operation of numerous such experts. Hence there is a pressing need for a software system in which individual interpretations can be generated automatically, and then refined through the use of co-operative reasoning and information sharing. To this end, a prototype system, named SurfaceMapper, has been developed in which a community of co-operating agents automatically locate and display interpretations in a volume of 3D scientific data. The challenges and experiences in designing and building such a system are discussed.
47-65
Gallimore, R. J.
fce60991-12d2-40ad-8154-156be9d2f8c6
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Lamba, H. S.
3a112849-856e-4104-99e3-5e1a14d02b91
Mason, C. L.
554466c1-a661-409c-9570-d73d23d9b404
Orenstien, B. J.
36e38eb4-635c-43cf-ae03-6870d08e31bd
Gallimore, R. J.
fce60991-12d2-40ad-8154-156be9d2f8c6
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Lamba, H. S.
3a112849-856e-4104-99e3-5e1a14d02b91
Mason, C. L.
554466c1-a661-409c-9570-d73d23d9b404
Orenstien, B. J.
36e38eb4-635c-43cf-ae03-6870d08e31bd

Gallimore, R. J., Jennings, N. R., Lamba, H. S., Mason, C. L. and Orenstien, B. J. (1998) 3D Scientific Data Interpretation Using Cooperating Agents. 3rd Int. Conf. on the Practical Applications of Agents and Multi-Agent Systems (PAAM-98), United Kingdom. pp. 47-65 .

Record type: Conference or Workshop Item (Paper)

Abstract

Many organisations collect vast quantities of 3D scientific data in volumetric form for a range of purposes including resource exploration, market forecasting and process modelling. Traditionally, this data has been interpreted by human experts with only minimal software assistance. However such manual interpretation is a painstakingly slow and tedious process. Moreover, since interpretation involves subjective judgements and each interpreter has different scientific knowledge and experience, formulation of an effective interpretation often requires the co-operation of numerous such experts. Hence there is a pressing need for a software system in which individual interpretations can be generated automatically, and then refined through the use of co-operative reasoning and information sharing. To this end, a prototype system, named SurfaceMapper, has been developed in which a community of co-operating agents automatically locate and display interpretations in a volume of 3D scientific data. The challenges and experiences in designing and building such a system are discussed.

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Published date: 1998
Venue - Dates: 3rd Int. Conf. on the Practical Applications of Agents and Multi-Agent Systems (PAAM-98), United Kingdom, 1998-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252160
URI: https://eprints.soton.ac.uk/id/eprint/252160
PURE UUID: c2c37893-e02f-4c92-994e-e96f57a328ce

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Date deposited: 03 Dec 2002
Last modified: 18 Jul 2017 10:06

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