Deciding Not To Decide

Ellsaesser, Florian and Fioretti, Guido (2022): Deciding Not To Decide.

Abstract

Sometimes unexpected, novel, unconceivable events enter our lives. The cause-effect mappings that usually guide our behaviour are destroyed. Surprised and shocked by possibilities that we had never imagined, we are unable to make any decision beyond mere routine. Among them there are decisions, such as making investments, that are essential for the long-term survival of businesses as well as the economy at large. We submit that the standard machinery of utility maximization does not apply, but we propose measures inspired by scenario planning and graph analysis, pointing to solutions being explored in machine learning.

• Item Type: MPRA Paper
• Language: English
• Keywords: Gail E. James, Uncertainty, Cognitive Maps, Machine Learning, Scenario Planning, Sense-Making, Bounded Rationality
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access; D - Microeconomics > D8 - Information, Knowledge, and Uncertainty; D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty

References

Alipour, M., Hafezi, R., Amer, M. and A.N. Akhavan, 2017, “A new hybrid fuzzy cognitive map-based scenario planning approach for Iran’s oil production pathways in the post-sanction period”. Energy, 135, 851-864.

Amer, M., Jetter, A. and T. Daim, 2011, “Development of fuzzy cognitive map (FCM)-based scenarios for wind energy”. International Journal for Energy Sector Management, 5, 564-584.

Axelrod, R., 1976, Structure of Decision. Princeton: Princeton University Press.

Brank, J., Leban, G. and Grobelnik, M., 2017, Annotating Documents with Relevant Wikipedia Concepts. Proceedings of the Slovenian Conference on Data Mining and Data Warehouses (SiKDD 2017), Ljubljana, Slovenia, 9 October 2017.

Chermack, T.J., 2004, “Improving decision-making with scenario planning”. Futures, 295-309.

Clark, K.C, and Manning, C.D., 2016, Deep Reinforcement Learning for Mention-Ranking Coreference Models. Working Paper arXiv:1609.08667.

Davidson, P., 1991, “Is probability theory relevant for uncertainty? A post-keynesian perspective”. Journal of Economic Perspectives, 5, 129-143.

De Finetti, B., 1931, “Sul significato soggettivo della probabilità”. Fundamenta Mathematicae, 17: 298-329.

Dequech, D., 2001, “Uncertainty: Individuals, institutions and technology”. Cambridge Journal of Economics, 28, 365-378.

Devlin, J., Chang, M.W., Lee, K. and Toutanova, K., 2019, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Working Paper arXiv:1810.04805.

Dunn, S.P., 2001, “Bounded rationality is not fundamental uncertainty: A post-keynesian perspective”. Journal of Post Keynesian Economics, 23, 567-587.

Eliaz, K. and E.A. Ok, 2006, “Indifference or indecisiveness? Choice-theoretic foundations of incomplete preferences”. Games and Economic Behavior, 56, 61-86.

Ellsberg, D., 1961, “Risk, ambiguity and the Savage axioms”. The Quarterly Journal of Economics, 75: 643-669.

Erdmann, D., Sichel, B. and L. Yeung, 2015, “Overcoming obstacles to effective scenario planning”. Mc Kinsey & Company, Strategy & Corporate Finance Insights, Jun.

Faulkner, P., Feduzi, A. and J. Runde, 2017, “Unknowns, black swans, and the risk / uncertainty distinction”. Cambridge Journal of Economics, 41, 1279-1302.

Galaabaatar, T. and E. Karni, 2013, “Subjective expected utility with incomplete preferences”. Econometrica, 81, 255-284.

Gilboa, I., 1987, “Expected utility with purely subjective non-additive probabilities”. Journal of Mathematical Economics, 16: 65-88.

Goodier, C., Austin, S., Soetanto, R. and A. Dainty, 2010, “Causal mapping and scenario building with multiple organizations”. Futures, 42, 219-229.

Goodwin, P. and G. Wright, 2001, “Enhancing strategy evaluation in scenario planning: A role for decision analysis”. Journal of Management Studies, 38, 1-16.

James, G.E., 1996, Strategic Alliances: Elixirs, Poison Pills or Virtual Integration? A Longitudinal Exploration of Industry-Level Learning in Biotech. University of Colorado at Boulder, Graduate School of Business, PhD Thesis.

Jetter, A. and W. Schweinfort, 2011, “Building scenarios with fuzzy cognitive maps: An exploratory study of solar energy”. Futures, 43, 52-66.

Knight, F.H., 1921, Risk, Uncertainty and Profit. Boston: Houghton Mifflin Company.

Lane, D.A. and R.R. Maxfield, 2005, “Ontological uncertainty and innovation”. Journal of Evolutionary Economics, 15, 3-50.

March, J.G. and H.A. Simon, 1958, Organizations. New York: John Wiley & Sons.

Ok, E.A., Ortoleva, P. and G. Riella, 2012, “Incomplete preferences under uncertainty: Indecisiveness in beliefs versus tastes”. Econometrica, 80, 1791-1808.

Pathak, D., Agrawal, P., Efros, A.A. and Darrell, T., 2017, Curiosity-Driven Exploration by Self-Supervised Prediction. Proceedings of the 34th International Conference on Machine Learning. Sydney, Australia.

Ramírez, R., Österman, R., and D. Grönquist, 2013, “Scenarios and early warnings as dynamic capabilities to frame managerial attention”. Technological Forecasting & Social Change, 80, 825-838.

Ramírez, R. and C. Selin, 2014, “Plausibility and probability in scenario planning”. Foresight, 16, 54-74.

Ramsey, F.P., 1931, “Truth and probability”. In Braithwaite, R.D. (Ed.), The foundations of mathematics and other logical essays. London: Routledge & Kegan Paul, pp. 156-198.

Roxburgh, C., 2009, “The use and abuse of scenarios”. Mc Kinsey & Company, Strategy & Corporate Finance Insights, Nov.

Ruder, S., 2022, “NLP-progress”. Retrievable at http://nlpprogress.com. Accessed on Jan 8th, 2022.

Runde, J., 1990, “Keynesian Uncertainty and the Weight of Arguments”. Economics and Philosophy, 6, 275-292.

Schmeidler, D., 1989, “Subjective probability and expected utility without additivity”. Econometrica, 57: 571-587.

Schoemaker, P.J.H., 1995, “Scenario Planning: A tool for strategic thinking”. Sloan Management Review, 36: 25-40.

Sigismind Huff, A., 1990, Mapping Strategic Thought. Chichester: John Wiley & Sons. Sigismund Huff, A., Huff, J.O. and P.S. Barr, 2000, When Firms Change Direction. Oxford: Oxford University Press.

Sigismund Huff, A. and Mark Jenkins, 2002, Mapping Strategic Knowledge. London: Sage Publications.

Stanford NLP Group, 2022, “SQuAD 2.0: The Stanford Question Answering Dataset”. Retrievable at https://rajpurkar.github.io/SQuAD-explorer. Accessed on Jan 8th, 2022.

Van der Heijden, K., 2000, “Scenarios and forecasting: Two perspectives”. Technological Forecsatng & Social Change, 65: 31-36.

Wilson, I., 2000, “From scenario thinking to strategic action”. Technological Forecasting and Social Change, 65, 23-29.

Wright, G. and P. Goodwin, 2009, “Decision making and planning under low levels of predictability: Enhancing the scenario method”. International Journal of Forecasting, 25, 813-825.

Zhang, Z., Zhuang, F., Zhu, H., Shi, Z., Xiong, H., and He, Q., 2020, “Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion”. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 9612-9619. Retrievable at https://doi.org/10.1609/aaai.v34i05.6508.