Strategic advice for decision-making under conflict based on observed behaviour

Amanda Garcia, Amer Obeidi and Keith W. Hipel

Applied Mathematics and Computation, 2018, vol. 332, issue C, 96-104

Abstract: An improvement in the inverse engineering of preferences approach for the Graph Model for Conflict Resolution is introduced. In addition to providing decision-makers and analysts with up-to-date preference information about opponents, the methodology is now equipped with an Advice function which enriches the decision-making process by providing important information regarding potential moves. Decision-makers who use the methods introduced in this paper are provided with the expected value of each of their possible moves, with the probability of the opponent’s next response, and with the opponent reachable states. This insightful information helps establish an accurate picture of the conflict situation and in so doing, aids stakeholders in making strategic decisions.

Keywords: Decision-making; Graph Model for Conflict Resolution; Inverse engineering; Game theory; Preferences (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300318302042
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:332:y:2018:i:c:p:96-104

DOI: 10.1016/j.amc.2018.03.031

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().