Understanding how people decide: decision-making theories as mental representations (original) (raw)

Decision Making: Between Rationality and Reality

2009

Almost by definition decision-making is typical human activity, and therefore important psychological subject. The starting point of its classical conception within psychology could be traced back to economy and mathematic, with ideas of human as rational economic being, and conceptualising decision making as choice between two or more alternatives, and as such being a separate event in space and time. Already in fifties Herbert Simon challenged such a view with his concept of bounded rationality, emerging from the joint effect of internal limitations of the human mind, and the structure of external environments in which the mind operates. During the last decades with the shift to the real word situations where decisions are embedded in larger tasks, becoming so part of the study of action, the lost rational human appeared again as efficient creature in the complex environment. Gigerenzer showed how heuristics help in this process.

A Perspective on Judgment and Choice

Early studies of intuitive judgment and decision making conducted with the late Amos Tversky are reviewed in the context of two related concepts: an analysis of accessibility, the ease with which thoughts come to mind; a distinction between effortless intuition and deliberate reasoning. Intuitive thoughts, like percepts, are highly accessible. Determinants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the characteristic biases that result from the substitution of nonextensional for extensional attributes. Variations in the accessibility of rules explain the occasional corrections of intuitive judgments. The study of biases is compatible with a view of intuitive thinking and decision making as generally skilled and successful.

Decision Making as a Complex Psychological Process

Bildung und Erziehung, 2017

This paper describes the decision-making process from a psychological perspective and the importance of the analyses of its developmental trajectories. It focuses on three main points: first, shifting from adult-centered to child-centered view; second, seeing decision making in an interpersonal and social perspective; third, similarities and differences in normative and descriptive approaches. Furthermore, we present two important tools of the Game Theory: the Ultimatum Game and the Dictator Game.

Decision Theory and Rationality (Oxford UP)

2009

Decision Theory and Rationality Abstract The concept of rationality is a common thread through the human and social sciences-from political science to philosophy, from economics to sociology, from management science to decision analysis. But what counts as rational action and rational behavior? This book explores decision theory as a theory of rationality. Decision theory is the mathematical theory of choice and for many social scientists it makes the concept of rationality mathematically tractable and scientifically legitimate. Yet rationality is a concept with several dimensions and the theory of rationality has different roles to play. It plays an action-guiding role (prescribing what counts as a rational solution of a given decision problem). It plays a normative role (giving us the tools to pass judgment not just on how a decision problem was solved, but also on how it was set up in the first place). And it plays a predictive/explanatory role (telling us how rational agents will behave, or why they did what they did). This controversial but accessible book shows, first, that decision theory cannot play all of these roles simultaneously and, second, that no theory of rationality can play one role without playing the other two. The conclusion is that there is no hope of taking decision theory as a theory of rationality. Book keywords Rationality Decision theory Utility Preference Choice Chapter 1 Decision theory and the dimensions of rationality Abstract This chapter begins by explaining the different explanatory projects underlying the three different dimensions of rationality (action-guiding; normative assessment; and explanatory-predictive). It then introduces the basic elements of decision theory and shows how it can serve as a theory of deliberation. It goes on to explore how, at least ion first appearances, decision theory might be employed in the projects of normative assessment and explanation/prediction. Doing this reveals three basic challenges that decision theory must confront if it is to serve as a theory of rationality. These challenges set the agenda for the main part of the book (Chapters 2 – 4). Chapter 1 keywords Theory of choice Decision-making under risk Decision-making under uncertainty Decision making under certainty Representation theorems Chapter 2 The first challenge: Making sense of utility and preference Abstract This chapter explores how the different dimensions of rationality impose conflicting requirements and constraints upon the central notions of decision theory – the notions of utility and preference. It begins by considering the operational understanding of utility dominant in economics, according to which utility is a measure of preference (as revealed in choice). It goes on to explore different alternatives to the operational understanding. The first alternative is to develop a richer notion of preference (as in Gauthier’s theory of considered preferences). The second alternative is to reject preference as the central notion in decision theory (as in Broome’s analysis of utility in terms of goodness). It turns out that no strategy works for all three of the explanatory projects. Chapter 2 keywords Utility Preference Revealed preference Goodness Chapter 3 The second challenge: Individuating outcomes Abstract Standard presentations of decision theory adopt some version of the invariance principle (that it is irrational to assign different utilities to propositions known to be equivalent). This normative principle raises problems for the idea that decision theory can serve as a theory of motivation. Frederic Schick has responded to this tension by proposing an intensional version of decision theory that allows a single outcome to be understood in different ways (and utilities to be assigned accordingly). This raises problems (such as the failure of the expected utility theorem) that can be dealt with by a more fine-grained way of individuating outcomes (as in Broome’s theory of individuation by justifiers). Again, though, none of these strategies serves all three of the explanatory projects under consideration. Chapter 3 keywords Invariance principle Intensionality Framing effects Substitution axiom (sure-thing principle) Allais paradox Chapter 4 The third challenge: Rationality over time Abstract This chapter explores the challenge of developing decision theory to do justice to the sequential and diachronic nature of decision making. Classical decision theory is governed by a separability principle according to which deliberation at a time is answerable only to the agent’s utility function at that time. This opens the door to forms of sequential inconsistency in which an agent makes a plan and then fails to carry it through in what is often called myopic choice. Decision theorists have proposed a number of ways of dealing with sequential inconsistency. These include models of sophisticated choice, resolute choice, and rational preference change. Each model works for some of the explanatory projects associated with the different dimensions of rationality, but none works for all. Chapter 4 keywords Sequential inconsistency Myopic choice Sophisticated choice Resolute choice Separability principle Substitution axiom (sure-thing principle) Chapter 5 Rationality: Crossing the fault lines? Abstract This chapter explores the relation between the different dimensions of rationality. Previous chapters have argued that decision theory cannot developed in a way that will satisfy the requirements of all three dimensions of rationality. This chapter assess the prospects for taking decision theory to be a theory of rationality in just one of the three dimensions. It evaluates Pettit’s claim that decision theory provides a normative canon of rationality, but not a deliberative calculus of rationality, as well as Kahneman and Tversky’s proposal to use prospect theory as a explanatory-predictive complement to decision theory. The upshot of the chapter is that the three dimensions of rationality cannot be separated out. Chapter 5 keywords Prospect theory Belief-desire law Folk psychology Reasoning heuristics

Decision making

psychol.ucl.ac.uk

This chapter reviews normative and descriptive aspects of decision making. Expected Utility Theory (EUT), the dominant normative theory of decision making, is often thought to provide a relatively poor description of how people actually make decisions.

Decision Theories and Their Implications: Understanding the Dynamics of Decision-Making

2016

Decision-making is a central function of management. It is a complex process which requires a highcognitive commitment, because the decision-maker has to assess and choose between different courses ofaction. Moreover, the decision-making is considered a continuous and dynamic process which implies a choiceand is oriented to the achievement of the organizational objectives. In the literature can be found varioustheories and models of decision-making. The higher attention towards the decision-making process is aconsequence of the understanding of its importance in creating sustainable competitive advantages. In adynamic and turbulent environment becomes much more difficult to achieve and maintain a good competitiveposition. The decision-making process is studied by a number of disciplines such as philosophy, mathematics,statistics, psychology, sociology, economics, management, political and social sciences. In the decision-makingtheory we can distinguish two main approaches: the norma...

Judgment and Decision Making: Extrapolations and Applications

Cambridge University Press eBooks, 2001

People who make or implement public policy must often estimate probabilities, predict outcomes, and make decisions that affect the welfare, values, and lives of many others. Until recently many of the disciplines that study policy employed a model of individuals and organizations as rational agents whose predictions conform to the prescriptions of probability theory and whose actions maximize their expected gains in conformity with classical decision theory. Such theories lead a double life. They are sometimes viewed as normative models that tell us what we should do in order to be rational (even if we rarely manage to pull it off). Construed this way, they offer advice: we should have logically consistent beliefs, coherent probability assignments, consistent preferences, and maximize expected utilities. But these same theories have also been viewed as descriptive models; construed this way, they are meant to provide an approximate characterization of the behavior of real people. It is this interpretation that has played a central role in economics, management science, and parts of political science, sociology, and the law. Since the early 1970s this descriptive picture of judgment and decision making has come under increasing attack from scientists working in behavioral decision theory, the field concerned with the ways in which people actually judge, predict, and decide. Much of the criticism derives from the work of Tversky, Kahneman, and others working in the heuristics and biases tradition. Scientists in this tradition argue that people often