Publications

Physica A

Finley, Patrick D.; Brodsky, Nancy S.

Abstract not provided.

Finley, Patrick D.; Beyeler, Walter E.

Abstract not provided.

Beyeler, Walter E.; Watson Ross, Chrys M.; Finley, Patrick D.

Abstract not provided.

Finley, Patrick D.; Glass, Robert J.; Hammer, Ryan H.

Abstract not provided.

Finley, Patrick D.; Ramsey, James L.

Abstract not provided.

Finley, Patrick D.; Lambert, Gregory J.; Glass, Robert J.

Abstract not provided.

Finley, Patrick D.; Jones, Katherine A.

Abstract not provided.

Physica A

Finley, Patrick D.; Brodsky, Nancy S.

Abstract not provided.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Moore, Thomas W.; Finley, Patrick D.; Hammer, Ryan H.; Glass, Robert J.

International forces in Afghanistan have experienced difficulties in developing constructive engagements with the Afghan population, an experience familiar to a wide range of international agencies working in underdeveloped and developing nations around the world. Recently, forces have begun deploying Female Engagement Teams, female military units who engage directly with women in occupied communities, resulting inmore positive relationships with those communities as a whole. In this paper, we explore the hypothesis that the structure of community-based social networks strongly contributes to the effectiveness of the Female Engagement Team strategy, specifically considering gender-based differences in network community structure. We find that the ability to address both female and male network components provides a superior ability to affect opinions in the network, and can provide an effective means of counteracting influences from opposition forces. © 2012 Springer-Verlag.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Beyeler, Walter E.; Kelic, Andjelka; Finley, Patrick D.; Aamir, Munaf S.; Outkin, Alexander V.; Conrad, Stephen H.; Mitchell, Michael D.; Vargas, Vanessa N.

Interactions between individuals, both economic and social, are increasingly mediated by technological systems. Such platforms facilitate interactions by controlling and regularizing access, while extracting rent from users. The relatively recent idea of two-sided markets has given insights into the distinctive economic features of such arrangements, arising from network effects and the power of the platform operator. Simplifications required to obtain analytical results, while leading to basic understanding, prevent us from posing many important questions. For example we would like to understand how platforms can be secured when the costs and benefits of security differ greatly across users and operators, and when the vulnerabilities of particular designs may only be revealed after they are in wide use. We define an agent-based model that removes many constraints limiting existing analyses (such as uniformity of users, free and perfect information), allowing insights into a much larger class of real systems. © 2012 Springer-Verlag.

Finley, Patrick D.; Hammer, Ryan H.; Glass, Robert J.

Abstract not provided.

Linebarger, John M.; Detry, Richard J.; Glass, Robert J.; Beyeler, Walter E.; Ames, Arlo L.; Finley, Patrick D.

Complex Adaptive Systems of Systems, or CASoS, are vastly complex physical-socio-technical systems which we must understand to design a secure future for the nation. The Phoenix initiative implements CASoS Engineering principles combining the bottom up Complex Systems and Complex Adaptive Systems view with the top down Systems Engineering and System-of-Systems view. CASoS Engineering theory and practice must be conducted together to develop a discipline that is grounded in reality, extends our understanding of how CASoS behave and allows us to better control the outcomes. The pull of applications (real world problems) is critical to this effort, as is the articulation of a CASoS Engineering Framework that grounds an engineering approach in the theory of complex adaptive systems of systems. Successful application of the CASoS Engineering Framework requires modeling, simulation and analysis (MS and A) capabilities and the cultivation of a CASoS Engineering Community of Practice through knowledge sharing and facilitation. The CASoS Engineering Environment, itself a complex adaptive system of systems, constitutes the two platforms that provide these capabilities.

Proposed for publication in Journal of Intelligence Community Research and Development.

Schubert, Janis S.; Finley, Patrick D.; Hammer, Ryan H.; Glass, Robert J.

Abstract not provided.

Beyeler, Walter E.; Ames, Arlo L.; Brown, Theresa J.; Brodsky, Nancy S.; Finley, Patrick D.; Linebarger, John M.

Complex Adaptive Systems of Systems, or CASoS, are vastly complex ecological, sociological, economic and/or technical systems which must be recognized and reckoned with to design a secure future for the nation and the world. Design within CASoS requires the fostering of a new discipline, CASoS Engineering, and the building of capability to support it. Towards this primary objective, we created the Phoenix Pilot as a crucible from which systemization of the new discipline could emerge. Using a wide range of applications, Phoenix has begun building both theoretical foundations and capability for: the integration of Applications to continuously build common understanding and capability; a Framework for defining problems, designing and testing solutions, and actualizing these solutions within the CASoS of interest; and an engineering Environment required for 'the doing' of CASoS Engineering. In a secondary objective, we applied CASoS Engineering principles to begin to build a foundation for design in context of Global CASoS

Beyeler, Walter E.; Glass, Robert J.; Finley, Patrick D.; Quach, Tu-Thach Q.

Infrastructures are networks of dynamically interacting systems designed for the flow of information, energy, and materials. Under certain circumstances, disturbances from a targeted attack or natural disasters can cause cascading failures within and between infrastructures that result in significant service losses and long recovery times. Reliable interdependency models that can capture such multi-network cascading do not exist. The research reported here has extended Sandia's infrastructure modeling capabilities by: (1) addressing interdependencies among networks, (2) incorporating adaptive behavioral models into the network models, and (3) providing mechanisms for evaluating vulnerability to targeted attack and unforeseen disruptions. We have applied these capabilities to evaluate the robustness of various systems, and to identify factors that control the scale and duration of disruption. This capability lays the foundation for developing advanced system security solutions that encompass both external shocks and internal dynamics.

Finley, Patrick D.

Abstract not provided.

Finley, Patrick D.; Brown, Theresa J.; Zagonel, Aldo A.; Glass, Robert J.

Abstract not provided.

Schubert, Janis S.; Finley, Patrick D.; Hammer, Ryan H.; Glass, Robert J.

Abstract not provided.

Beyeler, Walter E.; Glass, Robert J.; Finley, Patrick D.; Brown, Theresa J.

Abstract not provided.

Finley, Patrick D.; Glass, Robert J.; Ames, Arlo L.; Evans, Leland B.; Cannon, Daniel C.; Hobbs, Jacob A.; Hobbs, Jacob A.

Abstract not provided.

Finley, Patrick D.; Glass, Robert J.; Brown, Theresa J.; Zagonel, Aldo A.

Abstract not provided.

Finley, Patrick D.; Linebarger, John M.; Beyeler, Walter E.; Glass, Robert J.

Abstract not provided.

Finley, Patrick D.; Linebarger, John M.; Outkin, Alexander V.; Verzi, Stephen J.; Brodsky, Nancy S.; Glass, Robert J.

Abstract not provided.

Brodsky, Nancy S.; Ames, Arlo L.; Glass, Robert J.; Brown, Theresa J.; Finley, Patrick D.; Linebarger, John M.; Zagonel, Aldo A.

Abstract not provided.

Glass, Robert J.; Zagonel, Aldo A.; Ames, Arlo L.; Brown, Theresa J.; Beyeler, Walter E.; Finley, Patrick D.; Linebarger, John M.; Brodsky, Nancy S.; Verzi, Stephen J.; Outkin, Alexander V.

Abstract not provided.