A Deep Knowledge Planning Support System For Aiding Nuclear Waste Transportation Decisions

William M. Bowen; Kenneth Weeks; Dinesh Batra; Timothy R. Hill

doi:10.1016/0198-9715(89)90004-5

A Deep Knowledge Planning Support System For Aiding Nuclear Waste Transportation Decisions

William M. Bowen
, Kenneth Weeks
, Dinesh Batra
, Timothy R. Hill

Research output: Contribution to journal › Article › peer-review

Abstract

Planners and public policy makers in recent years have become increasingly concerned with issues related to nuclear waste transportation. Rational planning and policy for nuclear waste transportation depends upon systematically assimilating into a coherent and meaningful whole, diverse information at several levels of analysis. The authors describe and demonstrate the rudiments of a deep knowledge architecture for evaluating alternative nuclear waste transshipment possibilities.

Original language	American English
Journal	Computers, Environment, and Urban Systems
Volume	13
DOIs	https://doi.org/10.1016/0198-9715(89)90004-5
State	Published - Jan 1 1989

Disciplines

Environmental Design
Urban, Community and Regional Planning
Urban Studies

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10.1016/0198-9715(89)90004-5License: CC BY

Cite this

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abstract = " Planners and public policy makers in recent years have become increasingly concerned with issues related to nuclear waste transportation. Rational planning and policy for nuclear waste transportation depends upon systematically assimilating into a coherent and meaningful whole, diverse information at several levels of analysis. The authors describe and demonstrate the rudiments of a deep knowledge architecture for evaluating alternative nuclear waste transshipment possibilities.",

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AB - Planners and public policy makers in recent years have become increasingly concerned with issues related to nuclear waste transportation. Rational planning and policy for nuclear waste transportation depends upon systematically assimilating into a coherent and meaningful whole, diverse information at several levels of analysis. The authors describe and demonstrate the rudiments of a deep knowledge architecture for evaluating alternative nuclear waste transshipment possibilities.

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VL - 13

JO - Computers, Environment, and Urban Systems

JF - Computers, Environment, and Urban Systems

ER -

A Deep Knowledge Planning Support System For Aiding Nuclear Waste Transportation Decisions

Abstract

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