Identifying sustainable designs using preferences over sustainability attributes

Ganesh Ram Santhanam, Samik Basu, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We consider the problem of assessing the sustainability of alternative designs (e.g., for an urban environment) that are assembled from multiple components (e.g., water supply, transportation system, shopping centers, commercial spaces, parks). We model the sustainability of a design in terms of a set of sustainability attributes. Given the (qualitative) preferences and tradeoffs of decision makers over the sustainability attributes, we formulate the problem of identifying sustainable designs as the problem of finding the most preferred designs with respect to those preferences. We show how techniques for representing and reasoning with qualitative preferences can be used to identify the most preferred designs based on the decision maker's stated preferences and tradeoffs.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence and Sustainable Design - Papers from the AAAI Spring Symposium, Technical Report
Pages91-97
Number of pages7
VolumeSS-11-02
StatePublished - 2011
Event2011 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 21 2011Mar 23 2011

Other

Other2011 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/21/113/23/11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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