The Economics of Uncertainty and Information may be used in conjunction with Loffont's Fundamentals of Economics in an advanced course in microeconomics.

This book explains the way in which information and knowledge are treated in contemporary economic theories and, therefore, contributes to our understanding of the importance of the strategic organisation of information and the acquisition of know-how to the behaviour of modern economies. It gathers together contributions of experts on the role of information in the various theories covered: specifically, in system analysis, in game theory, in the 'statistical theory of information', in theories of market pricing, of financial speculation and of bounded rationality decision making, in the evolutionary theory of the firm, in the 'new industrial economics' and in the 'economics of codification'. Economics and Information is divided into three parts. Part One deals with general theories of information. Part Two addresses the role of information in the functioning of markets. Part Three considers the importance of information to the operation of organisations. Conclusions are drawn in Part Four on the implications for the process of economic growth and for economic policies. It, therefore, provides new insights into some of the puzzling features of recent developments in the so called New Economy.

Jacques Lesourne uses rigorous modelling to analyse the emergentc, working, and dissolution of institutions in economics.

This book provides a systematic presentation of new microeconomic theories of imperfect information.

This book constitutes the proceedings of the 7th International Symposium on Model-Based Safety and Assessment, IMBSA 2020, held in Lisbon, Portugal, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 15 revised full papers and 4 short papers presented were carefully reviewed and selected from 30 initial submissions. The papers are organized in topical sections on safety models and languages; state-space modeling; dependability analysis process; safety assessment in automotive domain; AI and safety assurance.

Complex dynamics constitute a growing and increasingly important area as they offer a strong potential to explain and formalize natural, physical, financial and economic phenomena. This book pursues the ambitious goal to bring together an extensive body of knowledge regarding complex dynamics from various academic disciplines. Beyond its focus on economics and finance, including for instance the evolution of macroeconomic growth models towards nonlinear structures as well as signal processing applications to stock markets, fundamental parts of the book are devoted to the use of nonlinear dynamics in mathematics, statistics, signal theory and processing. Numerous examples and applications, almost 700 illustrations and numerical simulations based on the use of Matlab make the book an essential reference for researchers and students from many different disciplines who are interested in the nonlinear field. An appendix recapitulates the basic mathematical concepts required to use the book.