Rationality And Decision Making

Managers in organisations must make rational decisions. Rational decision making is the opposite of intuitive decision making. It is a strict procedure utilising objective knowledge and logic. It involves identifying the problem to solve, gathering facts, identifying options and outcomes, analysing them, considering all the relationships and selecting the decision. Rational decision making requires support: methods and software tools. The identification of the problem to solve needs methods that would measure and evaluate the current situation. Identification and evaluation of options and analysis of the available possibilities involves analysis and optimisation methods. Incorporating intuition into rational decision making needs adequate methods that would translate ideas or observed behaviours into hard data. Communication, observation and opinions recording is hardly possible today without adequate software. Information and data that form the input, intermediate variables and the output must be stored, managed and made accessible in a user-friendly manner. Rational Decisions in Organisations: Theoretical and Practical Aspects presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated through case studies. The book shows not only the variety of perspectives involved in decision making, but also the variety of domains where rational decision support systems are needed. The case studies present decision making by medical doctors, students and managers of various universities, IT project teams, construction companies, banks and small and large manufacturing companies. Covering the richness of relationships in which the decisions should and must be taken, the book illustrates how modern organisations operate in chains and networks; they have multiple responsibilities, including social, legal, business and ethical duties. Nowadays, managers in organisations can make transparent decisions and consider a multitude of stakeholders and their diverse features, incorporating diverse criteria, using multiple types and drivers of information and decision-making patterns, and referring to numerous lessons learned. As the book makes clear, the marriage of theoretical ideas with the possibilities offered by technology can make the decisions in organisations more rational and, at the same time, more human.

The volume Rationality and Decision Making: From Normative Rules to Heuristics analyses rational and irrational decision making by individuals as well as by groups. The contributors adopt methodological, logical, linguistic, psychological, historical, and evolutionary perspectives.

In Decision Making and Rationality in the Modern World, Keith E. Stanovich demonstrates how work in the cognitive psychology of decision making has implications for the large and theoretically contentious debates about the nature of human rationality. Written specifically for undergraduate psychology students, the book presents a very practical approach to decision making, which is too often perceived by students as an artificial set of skills used only in academia and not in the real world. Instead, Stanovich shows how good decision-making procedures support rational behavior that enables people to act most efficiently to fulfill their goals. He explains how the concept of rationality is understood in cognitive science in terms of good decision making and judgment. Books in the Fundamentals of Cognition series serve as ideal instructional resources for advanced courses in cognitive psychology. They provide an up-to-date, well-organized survey of our current understanding of the major theories of cognitive psychology. The books are concise, which allows instructors to incorporate the latest original research and readings into their courses without overburdening their students. Focused without being too advanced--and comprehensive without being too broad--these books are the perfect resource for both students and instructors.

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.

“How do people make decisions in organizations?” is the question at the core of this book. Do people act rationally? Under what conditions can information and knowledge be shared to improve decision making? Davide Secchi applies concepts and theories from cognitive science, organizational behavior, and social psychology to explore the dynamics of decision making. In particular, he integrates “bounded rationality” (people are only partly rational; they have (a) limited computational capabilities and (b) limited access to information) and “distributed cognition” (knowledge is not confined to an individual, but is distributed across the members of a group) to build upon the pioneering work of Herbert Simon (1916-2001) on rational decision making and contribute fresh insights. This book is divided into two parts. The first part (Chapters 2 to 5) explores how recent studies on biases, prospect theory, heuristics, and emotions provide the so-called “map” of bounded rationality. The second part (Chapter 6 to 8) presents the idea of extendable rationality. In this section, Secchi identifies the limitations of bounded rationality and focuses more heavily on socially-based decision processes and the role of “docility” in teaching, managing, and executing decisions in organizations. The practical implications extend broadly to issues relating to change and innovation, as organizations adapt to evolving market conditions, implementing new systems, and effectively managing limited resources. The final chapter outlines an agenda for future research to help understand the decision making characteristics and capabilities of an organization.

In the Second Edition of Rational Choice in an Uncertain World the authors compare the basic principles of rationality with actual behaviour in making decisions. They describe theories and research findings from the field of judgment and decision making in a non-technical manner, using anecdotes as a teaching device. Intended as an introductory textbook for advanced undergraduate and graduate students, the material not only is of scholarly interest but is practical as well. The Second Edition includes: - more coverage on the role of emotions, happiness, and general well-being in decisions - a summary of the new research on the neuroscience of decision processes - more discussion of the adaptive value of (non-rational heuristics) - expansion of the graphics for decision trees, probability trees, and Venn diagrams.

"The authors are highly respected as leading figures in the field of judgment and decision making. There are many existing books on topics related to judgment and decision making, but this book makes a unique contribution to this field because of its systematic and scholarly approach, and its breadth of coverage." —Robert Goldstone, Indiana University "Reid Hastie and Robyn Dawes are two of the most eminent researchers in the field. I know these authors to be excellent writers and I have no doubt that their writing style will be suitable for my students." —William Goldstein, University of Chicago In the new edition of this award-winning text, renowned authors Reid Hastie and Robyn Dawes compare and contrast the basic principles of rationality with actual behavior in making decisions. This book explores theories and research findings from the field of judgment and decision making in a non-technical manner, using anecdotes as a teaching device. Intended as an introductory textbook for advanced undergraduate and graduate students, the material not only is of scholarly interest but is practical as well. New to This Edition Chapter introductions, conclusions, and cross-references between chapters make the text more student friendly An abundance of examples from areas such as finance, medicine, law, and engineering anchor concepts to the real world Increased consideration of descriptive, psychological models of decision making augment the original emphasis on normative, rational, "Expected Utility Theory" models, bring the book up to date Balance among the three major approaches to judgment and decision making: cognitive psychological analyses of mental processes and heuristics, descriptive algebraic models of judgment and decision processes, and rational models of decision making