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Publication
Environmental Decision Support: a Distributed Artificial Intelligence Approach
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Advisor(s)
Abstract(s)
Decision making in any environmental domain is a complex and demanding
activity, justifying the development of dedicated decision support systems. Every
decision is confronted with a large variety and amount of constraints to satisfy as
well as contradictory interests that must be sensibly accommodated.
The first stage of a project evaluation is its submission to the relevant group of public
(and private) agencies. The individual role of each agency is to verify, within
its domain of competence, the fulfilment of the set of applicable regulations. The
scope of the involved agencies is wide and ranges from evaluation abilities on the
technical or economical domains to evaluation competences on the environmental
or social areas.
The second project evaluation stage involves the gathering of the recommendations
of the individual agencies and their justified merge to produce the final conclusion.
The incorporation and accommodation of the consulted agencies opinions
is of extreme importance: opinions may not only differ, but can be interdependent,
complementary, irreconcilable or, simply, independent. The definition of
adequate methodologies to sensibly merge, whenever possible, the existing perspectives
while preserving the overall legality of the system, will lead to the making
of sound justified decisions.
The proposed Environmental Decision Support System models the project evaluation
activity and aims to assist developers in the selection of adequate locations
for their projects, guaranteeing their compliance with the applicable regulations.
Description
Keywords
Multiagent Systems
Citation
Benedita Malheiro; Eugénio Oliveira. Environmental Decision Support: a Distributed Artificial Intelligence Approach, Trabalho apresentado em International Symposium and Workshop on Environment and Interaction, In Proceedings of the International Symposium and Workshop on Environment and Interaction, Porto, 1996.