John Staddon – författare

WHAT’S THE MATTER WITH WALL STREET?And How Do We Fix It?

Even after the global financial meltdown of 2008, economists have clung to Adam Smith’s “Invisible Hand” theory of an always selfregulating market that benefits private and public interests alike. But Duke University professor John Staddon is here to tell that there’s also another, darker force at work on Wall Street—a “Malign Hand” that guides all human interactions, including our finances.

Combining psychology, behavioral economics, and other sciences, Staddon’s explosive new theory reveals the underlying principles behind the economic crisis, exposing the invisible mechanisms that drive our markets today. You’ll learn how we can:

Using economic theory, global market trends, and psychological research, Staddon’s electrifying book is both analytical and prescriptive—with a number of possible solutions to our most pressing economic concerns. You’ll learn about the wrong assumptions that underlie our present system, basic rules for managing risk, and the real reasons behind the market’s greatest successes and biggest disasters.

You’ll hear surprising insights into the delicate relationship between Wall Street and Washington—with assessments of the bailouts, the Dodd-Frank bill, and other attempts at financial regulation. Best of all, you’ll discover realistic solutions that can stop the boom-and-bust cycle once and for all.

Compelling, controversial, and remarkably thorough, The Malign Hand of the Markets will change the way we plan our future, manage our finances, and build our fortunes.

This ground-breaking book presents a brief history of behaviorism, along with a critical analysis of radical behaviorism, its philosophy and its applications to social issues.

This third edition is much expanded and includes a new chapter on experimental method as well as longer sections on the philosophy of behaviorism. It offers experimental and theoretical examples of a new approach to behavioral science. It provides an alternative philosophical and empirical foundation for a psychology that has rather lost its way.

The mission of the book is to help steer experimental psychology away from its current undisciplined indulgence in "mental life" toward the core of science, which is an economical description of nature: parsimony, explain much with little. The elementary philosophical distinction between private and public events, even biology, evolution and animal psychology are all ignored by much contemporary cognitive psychology. The failings of radical behaviorism as well as a philosophically defective cognitive psychology point to the need for a new theoretical behaviorism, which can deal with problems such as "consciousness" that have been either ignored, evaded or muddled by existing approaches.

This new behaviorism provides a unified framework for the science of behavior that can be applied both to the laboratory and to broader practical issues such as law and punishment, the health-care system, and teaching.

This ground-breaking book presents a brief history of behaviorism, along with a critical analysis of radical behaviorism, its philosophy and its applications to social issues.

This third edition is much expanded and includes a new chapter on experimental method as well as longer sections on the philosophy of behaviorism. It offers experimental and theoretical examples of a new approach to behavioral science. It provides an alternative philosophical and empirical foundation for a psychology that has rather lost its way.

The mission of the book is to help steer experimental psychology away from its current undisciplined indulgence in "mental life" toward the core of science, which is an economical description of nature: parsimony, explain much with little. The elementary philosophical distinction between private and public events, even biology, evolution and animal psychology are all ignored by much contemporary cognitive psychology. The failings of radical behaviorism as well as a philosophically defective cognitive psychology point to the need for a new theoretical behaviorism, which can deal with problems such as "consciousness" that have been either ignored, evaded or muddled by existing approaches.

This new behaviorism provides a unified framework for the science of behavior that can be applied both to the laboratory and to broader practical issues such as law and punishment, the health-care system, and teaching.

Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.

Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs – an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena – and neural network models provide a natural framework for representing and analysing such interactions – all the articles either develop neural network models or provide biological constraints for guiding and testing their design.