DocumentCode
1264024
Title
Working to Understand Cooperative Forces in Government Extended Enterprises: Concepts and Methodology
Author
John, Lawrence ; McCormick, Patricia ; McCormick, Tom ; McNeill, Gregory R. ; Boardman, John
Author_Institution
Anal. Services, Inc., Arlington, VA, USA
Volume
6
Issue
4
fYear
2012
Firstpage
675
Lastpage
687
Abstract
This paper describes our continuing effort to use the case of the Christmas Day Bomber to investigate the idea that decision makers can leverage four “canonical forces” to increase the amount of voluntary cooperation within what we call “government extended enterprises” (GEEs). It outlines key concepts, postulated relationships, and a game theoretic methodology (an n -player iterated stag hunt) actualized in an agent-based simulation. Our GEE concept extends the traditional supply chain-based “extended enterprise” concept to accommodate networks of relatively autonomous government organizations that lack the more static supplier-customer relationships seen in supply chains. A GEE is a dynamical system of systems (SoS) pursuing one or more public goals, potentially at a cost to the component organizations´ private goals, rendering each decision situation about costly cooperation a social dilemma for the components. Analysis focuses on the level of “belonging,” a Boardman-Sauser “SoS differentiating characteristic” that, in our case, reflects the cooperativeness of GEE components. Preliminary results indicate that the stag hunt is an appropriate game for the case study; taken singly, sympathy is stronger than trust, fear or greed; fear has little impact on its own but dampens other forces; and the higher payoffs earned may justify the risks inherent in cooperation, especially for uncertain agents.
Keywords
decision making; game theory; multi-agent systems; public administration; GEE; agent based simulation; autonomous government organizations; canonical forces; christmas day bomber; cooperative forces; decision makers; game theory; government extended enterprises; supplier customer relationships; supply chain based extended enterprise; Force; Games; Government; Peer to peer computing; Systems engineering and theory; Uncertainty; Agent-based modeling; cooperation; extended enterprise; game theory; system of systems (SoS);
fLanguage
English
Journal_Title
Systems Journal, IEEE
Publisher
ieee
ISSN
1932-8184
Type
jour
DOI
10.1109/JSYST.2012.2204915
Filename
6268293
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