Decision Making in a Social World 3500-FAKANG-DMSW
Climate change, loss of bio-diversity, managing a pandemic, these are all problems we face as humanity that require an adaptation of our behaviour and the choices that we make. Many policies are developed to support such behavioural changes, for example the taxation of fossil fuel, informing us about the state of nature and legislation on wearing masks and social distancing. Increasingly, models are being used to forecast the impact of policy. And obviously, these models are based on assumptions on human behaviour.
Since economics has always been a discipline where formal models were being used, many policy models are based on assumptions of economic rationality of the people. However, there are many reasons to believe that we do not behave as optimisers. Instead, we have habits, learn from others and are often satisfied with “good enough” choices. These mechanisms have serious impacts on the efficiency of social policies. To design better social interventions we need to reflect on how we as humans make decisions.
This course concentrates on how people make judgments and decisions in a complex social environment where information is often scarce and uncertain, but sometimes also overwhelmingly abundant. We will be exploring how the process of decision making is being described by different disciplines: psychology, economics and sociology. We will discuss how we can use these different inputs to understand better both why individuals make decisions in certain ways (for example relying on social learning and social norms) and how social reality is shaped. Specifically, we will:
● Take a closer look at what is rationality in decision making and talk about bounded rationality and simple heuristics
● Show how the environment can shape choices in decision making processes and the other way around
● Introduce a computational approach to cognitive processes and behavioural theories using some prominent examples.
● Reflect on the use of empirical data in social modelling for decision making.
Koordynatorzy przedmiotu
Rodzaj przedmiotu
Tryb prowadzenia
Założenia (opisowo)
Efekty kształcenia
W_01 – The student understands theories of decision-making and their significance for public policies.
U_01 – The student is able to explain the mechanisms of bounded rationality and heuristics.
U_02 – The student is able to apply decision-making models to the analysis of social processes.
U_03 – The student is able to analyze the influence of environment and social norms on individual decisions.
K_01 – The student collaborates within a team, taking responsibility for the implementation of analytical tasks.
Kryteria oceniania
Permanent evaluation of student engagement in discussions during the course.
Small group tasks assigned during the course.
Final test checking understanding of the core concepts and problems.
Literatura
Bendor, Jonathan, Swistak, Piotr. 2004. The rational foundations of social institutions. W: J.
Berg, Nathan, Abramczuk K., Hoffrage U. 2010. Fast Acceptance by Common Experience: FACE-recognition in Schelling’s model of neighborhood segregation. “Judgment and Decision Making” 5(5): 391-410.
Coleman, James S. 1986. Social theory, social research, and a theory of action. “American Journal of Sociology” 91: 1309-35.
Gigerenzer, Gerd, Gaissmaier, W. 2011. Heuristic decision making. “Annual review of psychology” 62: 451-482.
Henrich, Joseph, Robert Boyd, Samuel Bowles, Colin Camerer, Ernst Fehr, Herbert Gintis, and Richard McElreath. 2001. "In Search of Homo Economicus: Behavioral Experiments in 15 Small-Scale Societies." American Economic Review, 91 (2): 73-78.
Kahneman, Daniel. 2003, Maps of bounded rationality: Psychology for Behavioral Economics. “The American Economic Review” 93(5): 1449-1475.
Simon, Herbert A. 1990. Invariants of Human Behaviour. “Annual Review of Psychology” 41: 1-19.
Schwarz, N., Dressler, G., Frank, K., Jager, W., Janssen, M., Müller, B., ... & Groeneveld, J. (2020). Formalising theories of human decision-making for agent-based modelling of social-ecological systems: practical lessons learned and ways forward. Socio-Environmental Systems Modelling, 2, 16340-16340.
Straffin Jr, P. D. (1993). Game theory and strategy (Vol. 36). MAA.
Wilkinson, N. (2007). „An Introduction to Behavioral Economics: A Guide for Students.” Palgrave Macmillan.