I’Ve live in an astornshingly complex world, Yet what we do in our everyday lives seems simple enough. Most of us conform to society’s rules, pursue familiar strategies, and achieve reasonably predictable outcomes. In our role as economic agents, we simply peddle our wares and earn our daily bread as best we can.So where on earth does this astonishing complexity come from? Much of it is ubiquitous in nature, to be sure, but part of it lies within and between us. Part of it comes from those games of interaction that humans play—games against nature, games against each other, games of competition, games of cooperation. In bygone eras, people simply hunted and gathered to come up with dinner. Today you can find theoretical economists scratching mysterious equations on whiteboards (not even blackboards) and getting paid to do this. In the modern economy, most of us make our living in a niche created for us by what others do. Because we’ve become more dependent on each other, our economy as a whole has become more strongly interactive.

"What The Double Helix did for biology, David Warsh's Knowledge and the Wealth of Nations does for economics." —Boston Globe A stimulating and inviting tour of modern economics centered on the story of one of its most important breakthroughs. In 1980, the twenty-four-year-old graduate student Paul Romer tackled one of the oldest puzzles in economics. Eight years later he solved it. This book tells the story of what has come to be called the new growth theory: the paradox identified by Adam Smith more than two hundred years earlier, its disappearance and occasional resurfacing in the nineteenth century, the development of new technical tools in the twentieth century, and finally the student who could see further than his teachers. Fascinating in its own right, new growth theory helps to explain dominant first-mover firms like IBM or Microsoft, underscores the value of intellectual property, and provides essential advice to those concerned with the expansion of the economy. Like James Gleick's Chaos or Brian Greene's The Elegant Universe, this revealing book takes us to the frontlines of scientific research; not since Robert Heilbroner's classic work The Worldly Philosophers have we had as attractive a glimpse of the essential science of economics.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The present volume offers a broad and imaginative approach to the study of the mind, which emphasizes several themes, namely: the importance of functional organization apart from the specific material by means of which it may be implemented; the use of modeling to simulate these functional processes and subject them to certain kinds of tests; the use of mentalistic language to describe and predict the behavior of artifacts; and the subsumption of processes of adaptation, learning, and intelligence by means of explanatory principles. The author has produced a rich and complex, lucid and readable discussion that clarifies and illuminates many of the most difficult problems arising within this difficult domain.

"This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results. It provides significant, informative advancements in the subject and introduces the HONN group models and adaptive HONNs"--Provided by publisher.

As machines are trained to “think,” many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, it is more difficult to automate emotional intelligence, and this is where the human worker’s competitive advantage over machines currently lies. This book explores the impact of AI on everyday life, looking into workers’ adaptation to these changes, the ways in which managers can change the nature of jobs in light of AI developments, and the potential for humans and AI to continue working together. The book argues that AI is rapidly assuming a larger share of thinking tasks, leaving human intelligence to focus on feeling. The result is the “Feeling Economy,” in which both employees and consumers emphasize feeling to an unprecedented extent, with thinking tasks largely delegated to AI. The book shows both theoretical and empirical evidence that this shift is well underway. Further, it explores the effect of the Feeling Economy on our everyday lives in the areas such as shopping, politics, and education. Specifically, it argues that in this new economy, through empathy and people skills, women may gain an unprecedented degree of power and influence. This book will appeal to readers across disciplines interested in understanding the impact of AI on business and our daily lives. It represents a bold, potentially controversial attempt to gauge the direction in which society is heading.

This book discusses and illustrates the emergent behavior produced due to cumulative pattern of interactions in a strongly interactive economy, reflecting the diversity of decisions taken by different economic agents. It takes a look at unexpected socioeconomic changes during the past millennium.