Agent based modeling of risk sensitivity and decision making...

Education and demonstration – Psychology

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C703S014000, C706S013000, C705S037000, C463S001000

Reexamination Certificate

active

08057235

ABSTRACT:
An agent based model system provides simulation of the influence of environmental variables and tendencies in individual and social decision making relating to the formation of coalitions and ethnic groups. The system is based on improved understandings of human decision making under risk, and incorporates recent theoretical developments and computational tools. The system gives analysts the ability to predict the development of coalitions and ethnic groups, as well as the ability to manage the behavior of individuals in such groups. The model results provide confidence intervals for various possible scenarios in a mix of agents' decision rules and distribution of environmental resources. Applications include management of ethnic groups and violent conditions in unstable nations, the tracking of terrorist organizations, development of coalitions and oligopolies in business, and the modeling and interdiction of criminal organizations.

REFERENCES:
patent: 5730654 (1998-03-01), Brown
patent: 6210272 (2001-04-01), Brown
patent: 6829569 (2004-12-01), Drucker et al.
patent: 7590589 (2009-09-01), Hoffberg
patent: 2005/0131746 (2005-06-01), Beausoleil et al.
patent: 2005/0197787 (2005-09-01), Diedrich et al.
Alvard MS and Kuznar L. Deferred Harvests: The Transition from Hunting to Animal Husbandry. American Anthropologist 103 (2):295-311.
Alvard MS and Nolin, DA. Rousseau's Whale Hunt? Coordination among Big Game Hunters. Current Anthropology, vol. 43, No. 4, pp. 533-559, Aug./Oct. 2002.
Kuznar LA. Herd Composition in an Aymara Community of the Peruvian Altiplano: A Linear Programming Problem. Human Ecology, vol. 19, No. 3, 1991.
Kuznar, LA. Mathematical Models of Pastoral Production and Herd Composition in Traditional Andean herds. Journal of Quantitative Anthropology 3:1-17, 1991.
Hartog J et al. Linking Measured Risk Aversion to Individual Characteristics. Kyklos, vol. 55, 2002, Fasc. 1, 3-26.
Mann BS. A Note on Risk Aversion and Preferences. Economic Inquiry, vol. XXIX, Jan. 1991, pp. 115-118.
Alvard MS and Kuznar L. Deferred Harvests: The Transition from Hunting to Animal Husbandry. American Anthropologist, 103 (2):295-311 (2001).
Dibble, C., and P. G. Feldman. “Combating Terrorrist Networks: Current Research in Social Network Analysis for the New Warfighting Environment.” 8th International Command and Control Research and Technology Symposium, National Defense University, Washington, D.C., (Jun. 17-19, 2003), pp. 10.
International Search Report and The Written Opinion of the International Searching Authority (Feb. 15, 2007).
Kirchkamp, Oliver, “Spatial evolution of automata in the prisoners' dilemma”,Journal of Economic Behavior&Organization, vol. 43, 239-262 (2000).
Lee, Susan, “Assortative Interactions and Endogenous Stratification”,Department of Economics, University of Wisconsin-Madison, 1-38 (May 14, 1999).
Pepper, John W. et al., “Agent-Based Modeling of Multilevel Selection: The Evolution of Feeding Restraint As a Case Study”,Swarm User Group Meeting, 57-68 (2000).
Rankin, Frederick W. et al., “Strategic Similarity and Emergent Conventions: Evidence from Similar Stag Hunt Games*”,Games and Economic Behavior, 32, 315-337 (2000).
Szilagyi, Miklos N. et al., “Non-Trivial Solutions to the N-Person Prisoners' Dilemma”,Systems Research and Behavioral Science Syst. Res., 19, 281-290 (2002).
Collier, N. 2002. “Repast: An Extensible Framework for Agent Simulation,” vol. 2002.
Danielson, P. 2002. Competition among Cooperators: Altruism and Reciprocity.Proceedings of the National Academy of Sciences99 supplement 3:7237-7242.
Dibble, C., and P. G. Feldman. n.d. “Combating Terrorist Networks: Current Research in Social Network Analysis for the New Warfighting Environment.”8th International Command and Control Research and Technology Symposium, National Defense University, Washington, D.C., n.d., pp. 10.
Dombroski, M.. and K. Carley. 2002. “NETEST: Estimating a Terrorist Network's Structure.”CASOS(Computational Analysis of Social and Organizational Systems)Proceedings, 2002, Pittsburg, 2002.
Epstein, J. M., and R. L. Axtell. 1996.Growing Artificial Societies: Social Science from the Bottom Up. Cambridge, Massachusetts, and Washington D.C.: MIT Press, and the Brookings Institute.
Friedman, M., and L. J. Savage. 1948. The Utility Analysis of Choices Involving Risk.Journal of Political Economy4:279-304.
Gigerenzer, G. 2000.Adaptive Thinking: Rationality in the Real World. New York: Oxford University Press.
Gigerenzer, G. 2001. The Adaptive Toolbox, inBounded Rationality: The Adaptive Toolbox. Edited by G. Gigerenzer and R. Selten, pp. 37-50. Cambridge, Massachusetts: MIT Press.
Gintis, H. 2000.Game Theory Evolving. Princeton: Princeton University Press.
Haynes, L. 2000. “Agents for Distributed Systems.” Presented at Distributed Air/Ground Traffic Management Workshop, NASA, Ames, 2000.
Henrich, J., and R. Boyd. 1998. The Evolution of Conformist Transmission and the Emergence of Between-Group Differences.Evolution and Human Behavior19:215-241.
Henrich, J., and F. Gil-White. 2001. The Evolution of Prestige: Freely Conferred Deference as a Mechanism for Enhancing the Benefits of Cultural Transmission.Evolution and Human Behavior22:165-196.
Kahneman, D., J. L. Knetsch, and R. H. Thaler. 2000. “Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias,” inChoices, Values, and Frames. Edited by D. Kahneman and A. Tversky, pp. 159-170. New York: Cambridge University Press.
Kahneman, D., and A. Tversky. 1979. Prospect Theory: An Analysis of Decision Under Risk.Econometrica47:263-291.
Kohler, T. A., and G. J. Gummerman. Editors. 2000. Dynamics in Human and Primate Societies: Agent-Based Modeling of Social and Spatial Processes. Oxford: Oxford University Press.
Krebs, V. E. 2002. Uncloaking Terrorist Networks. First Monday 7.http://firstmonday.org/issues/issue7—4/krebs/index.html.
Kuznar, L. A. 2002. Evolutionary Applications of Risk Sensitivity Models to Socially Stratified Species: Comparison of Sigmoid, Concave and Linear Functions.Evolution and Human Behavior23:265-280.
Kuznar, L. A., and W. G. Frederick. 2003. Environmental Constraints and Sigmoid Utility: Implications for Value, Risk Sensitivity, and Social Status.Ecological Economics46:293-306.
Luke, S., G. Catalin. L. P. Balan, C. Cioffi-Revilla, and S. Paus. 2003. “Mason: A Java Multi-Agent Simulation Library.”Proceedings of the Agent 2003 Conference, 2003.
Lustick, I. S. 2002. PS-I: A User-Friendly Agent-Based Modeling Platform for Testing Theories of Political Identity and Political Stability. Journal of Artificial Societies and Social Simulation 5:1-37.http://jasss.soc.surrey.ac.uk/5/3/7.html.
MacKerrow, E. P. 2003. Understanding Why—Dissecting Radical Islamist Terrorism with Agent-Based Simulation.Los Alamos Science28:184-191.
McCabe, J. T., and V. L. Smith. 2001. “Goodwill Accounting and the Process of Exchange,” inBounded Rationality: The Adaptive Toolbox. Edited by G. Gigerenzer and R. Selten, pp. 319-340. Cambridge, Massachusetts: MIT Press.
Parker, .M. 1999. “Ascape: An Agent-based modeling framework in Java.”Proceedings of Agent Simulation: Applications, Models and Tools, 1999.
Tsvetovat, M., and K. M. Carley. 2002. “Knowing the Enemy: A Simulation of Terrorist Organizations and Counter-Terrorism Strategies.”Computational Analysis of Social and Organizational Systems(CASOS)Conference 2002, Pittsburg, Pennsylvania, 2002.
Tversky, A., and D. Kahneman. 1981. The Framing of Decisions and the Psychology of Choice.Science211:453-458.
Tversky, A. 1992. Advances in Prospect Theory: Cumulative Representation of Uncertainty.Journal of Risk and Uncertainty5:297-323.
Winterhalder, B., F. Lu, and B. Tucker. 1999. Risk-Sensitive Adaptive Tactics: Models and Evidence from Subsistence Studies in Biology and Anthropology.Journal of Archaeological Research7:301-348.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Agent based modeling of risk sensitivity and decision making... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Agent based modeling of risk sensitivity and decision making..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Agent based modeling of risk sensitivity and decision making... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4286591

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.