Making Better Decisions introduces readers to some of the principal aspects of decision theory, and examines how these might lead us to make better decisions.

• Introduces readers to key aspects of decision theory and examines how they might help us make better decisions
• Presentation of material encourages readers to imagine a situation and make a decision or a judgment
• Offers a broad coverage of the subject including major insights from several sub-disciplines: microeconomic theory, decision theory, game theory, social choice, statistics, psychology, and...

Presents an axiomatic approach to the problems of prediction, classification, and statistical learning.

The book describes formal models of reasoning that are aimed at capturing the way that economic agents, and decision makers in general think about their environment and make predictions based on their past experience. The focus is on analogies (case-based reasoning) and general theories (rule-based reasoning), and on the interaction between them, as well as between them and Bayesian reasoning. A unified approach allows one to study the dynamics of inductive reasoning in terms of the mode of reasoning that is used to generate predictions.