Goal directed policy conflict detection and prioritisation: an empirical evaluation

Name: Goal directed policy conflict detection and prioritisation: an empirical evaluation
Author: Aphale, M. S., Norman, T. J., Şensoy, Murat

İsim	Goal directed policy conflict detection and prioritisation: an empirical evaluation
Yazar	Aphale, M. S., Norman, T. J., Şensoy, Murat
Basım Tarihi:	2014
Basım Yeri	- Springer Science+Business Media
Konu	Policies, Norms, Conflict resolution
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4503-2738-1
Kayıt Numarası	f1f1bce3-eb03-4b25-9038-b8e56ff63a74
Lokasyon	Computer Science
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	We address the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans and policies (or norms). How automated reasoning mechanisms can effectively support human decision makers in this process is little understood. In this research, we have conducted experiments with human subjects to assess how effective these reasoning mechanisms are. We found that providing guidance to users regarding what problems to prioritise and highlighting related conflicts led to higher quality outcomes, and problems were successfully solved more rapidly.

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Goal directed policy conflict detection and prioritisation: an empirical evaluation

Yazar Aphale, M. S., Norman, T. J., Şensoy, Murat

Basım Tarihi 2014

Basım Yeri - Springer Science+Business Media

Konu Policies, Norms, Conflict resolution

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4503-2738-1

Kayıt Numarası f1f1bce3-eb03-4b25-9038-b8e56ff63a74

Lokasyon Computer Science

Tarih 2014

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin We address the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans and policies (or norms). How automated reasoning mechanisms can effectively support human decision makers in this process is little understood. In this research, we have conducted experiments with human subjects to assess how effective these reasoning mechanisms are. We found that providing guidance to users regarding what problems to prioritise and highlighting related conflicts led to higher quality outcomes, and problems were successfully solved more rapidly.