10.4230/LIPICS.ICLP.2012.370
Dahl, Veronica
Veronica
Dahl
Coleman, Bradley
Bradley
Coleman
Miralles, J. Emilio
J. Emilio
Miralles
Maharshak, Erez
Erez
Maharshak
CHR for Social Responsibility
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
2012
Article
Constraint handling rules
principled decision making
informed voting
client directed voting
social responsibility.
Dovier, Agostino
Agostino
Dovier
Costa, Vítor Santos
Vítor Santos
Costa
2012
2012-09-05
2012-09-05
2012-09-05
en
urn:nbn:de:0030-drops-36374
10.4230/LIPIcs.ICLP.2012
978-3-939897-43-9
1868-8969
10.4230/LIPIcs.ICLP.2012
LIPIcs, Volume 17, ICLP 2012
Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)
2013
17
34
370
380
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Dovier, Agostino
Agostino
Dovier
Costa, Vítor Santos
Vítor Santos
Costa
1868-8969
Leibniz International Proceedings in Informatics (LIPIcs)
2012
17
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
11 pages
401365 bytes
application/pdf
Creative Commons Attribution-NoDerivs 3.0 Unported license
info:eu-repo/semantics/openAccess
Publicly traded corporations often operate against the public's interest, serving a very limited group of stakeholders. This is counter-intuitive, since the public as a whole owns these corporations through direct investment in the stock-market, as well as indirect investment in mutual, index, and pension funds. Interestingly, the public's role in the proxy voting process, which
allows shareholders to influence their company's direction and decisions, is essentially ignored by individual investors. We
speculate that a prime reason for this lack of participation is information overload, and the disproportionate efforts required for an investor to make an informed decision. In this paper we propose a CHR based model that significantly simplifies the decision making process, allowing users to set general guidelines that can be applied to every company they own to produce voting recommendations. The use of CHR here is particularly advantageous as it allows users to easily track back the most relevant data that was used to formulate the decision, without the user having to go through large amounts of irrelevant information. Finally we describe a simplified algorithm that could be used as part of this model.
LIPIcs, Vol. 17, Technical Communications of the 28th International Conference on Logic Programming (ICLP'12), pages 370-380