How do people make decisions? There is a class of models in psychology which seek to answer this question but have received scant attention in economics despite some clear empirical successes. In a previous post I discussed one of these, Decision by Sampling, and this post will look at another: the so-called Fast and Frugal heuristics pioneered by the German psychologist Gerd Gigerenzer. Here the individual seeks out sufficient information to make a reasonable decision. They are ‘fast’ because they do not require massive computational effort to make a decision so can be done in seconds, and they are ‘frugal’ because they use as little information as possible to make the decision effectively.

More-is-better ideals such as these have long shaped our vision of rationality. Yet humans and other animals typically rely on simple heuristics to solve adaptive problems, focusing on one or a few important cues and ignoring the rest, and shortcutting computation rather than striving for as much as possible.

The most successful multialternative theories of decision making assume that people consider individual aspects of a choice and proceed via a process of elimination. Amos Tversky was one of the pioneers of this field, but modern decision theorists – most notably Neil Stewart – have moved things forward. At the current stage the theories are able to explain a number of strictly ‘irrational’ but reasonable quirks of human decision making, including various heuristics and biases. Not only this, but eye movements of participants strongly imply that the decision-making process depicted in the theories is an accurate one.

Behavioural economics deals with observing behaviour and economic decision making behaviour.

The Philosophy of Economics Foundational Text provides a systematic and well-structured overview over the field of philosophy of economics.

Complexity economics focuses on interactions and interdependencies between individuals and structures in economic systems. Those are systems of organised complexity. High importance is given to the analysis of networks.

This text provides an easy to understand introduction to complexity economics for non-specialist audiences such as bachelor's students.

This paper starts with an evaluation of three common arguments against pluralism in economics: (1) the claim that economics is already pluralist, (2) the argument that if there was the need for greater plurality, it would emerge on its own, and (3) the assertion that pluralism means ‘anything goes’ and is thus unscientific. Pluralist responses to all three arguments are summarized. The third argument is identified to relate to a greater challenge for pluralism: an epistemological trade-off between diversity and consensus that suggests moving from a discussion about ‘pros’ and ‘cons’ towards a discussion about the adequate degree of plurality. We instantiate the trade-off by showing how it originates from two main challenges: the need to derive adequate quality criteria for a pluralist economics, and the necessity to propose strategies that ensure the communication across different research programs. The paper concludes with some strategies to meet these challenges.

In the pluralist showcase series by Rethinking Economics, Cahal Moran explores non-mainstream ideas in economics and how they are useful for explaining, understanding and predicting things in economics.

Jason Collins explains how his evolutionary approach to decision making relates to other approaches of behaviour This piece therefore not only serves as a good introduction to this evolutionary approach but also serves as a great introduction to these other approaches of behaviour namely neoclassical perfect rationality which involves mainly …

Neoclassical economics focuses on the allocation of scarce resources. Economic analysis is mainly concerned with determining the efficient allocation of resources in order to increase welfare.

Evolutionary economics focuses on economic change. Hence processes of change such as growth, innovation, structural and technological change, as well as economic development in general are analysed. Evolutionary economics often gives emphasis to populations and (sub-)systems.