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Cooperating Agents for 3D Scientific Data Interpretation

Cooperating Agents for 3D Scientific Data Interpretation
Cooperating Agents for 3D Scientific Data Interpretation
Many organizations collect vast quantities of three-dimensional (3-D) scientific data in volumetric form for a range of purposes, including resource exploration, market forecasting, and process modelling. Traditionally, these data have 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 cooperation 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 cooperative reasoning and information sharing. To this end, a prototype system, SurfaceMapper, has been developed in which a community of cooperating software agents automatically locate and display interpretations in a volume of 3-D scientific data. The challenges and experiences in designing and building such a system are discussed. Particular emphasis is given to the agents' interactions and an empirical evaluation of the effectiveness of different cooperation strategies is presented.
Cooperative problem solving, intelligence agents, multiagent systems, scientific data interpretation.
110-126
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.
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Orenstein, B. J.
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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
Orenstein, B. J.
ae9a4b67-fae1-4a2b-8ffa-888724bb4dc4

Gallimore, R. J., Jennings, N. R., Lamba, H. S., Mason, C. L. and Orenstein, B. J. (1999) Cooperating Agents for 3D Scientific Data Interpretation. IEEE Trans. on Systems Man and Cybernetics Part C: Applications and Reviews, 29 (1), 110-126.

Record type: Article

Abstract

Many organizations collect vast quantities of three-dimensional (3-D) scientific data in volumetric form for a range of purposes, including resource exploration, market forecasting, and process modelling. Traditionally, these data have 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 cooperation 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 cooperative reasoning and information sharing. To this end, a prototype system, SurfaceMapper, has been developed in which a community of cooperating software agents automatically locate and display interpretations in a volume of 3-D scientific data. The challenges and experiences in designing and building such a system are discussed. Particular emphasis is given to the agents' interactions and an empirical evaluation of the effectiveness of different cooperation strategies is presented.

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Published date: 1999
Keywords: Cooperative problem solving, intelligence agents, multiagent systems, scientific data interpretation.
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252119
URI: http://eprints.soton.ac.uk/id/eprint/252119
PURE UUID: 1564f97a-32ba-400a-ac5a-2618f21d8dc5

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Date deposited: 13 Dec 1999
Last modified: 22 Sep 2020 16:42

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