David R. Shanks

A provocative look at the unconscious mind that challenges contemporary perceptions and exposes the indefensible science that fostered them. How much of a role does the unconscious play in our decision making? In Open Minded: Searching for Truth about the Unconscious Mind, authors Ben R. Newell and David R. Shanks would argue: not very much. Behavioral science and public discourse have placed an outsized emphasis on the unconscious mind when it comes to understanding human behavior. Pursuing trails of fraud, intrigue, and claims about the power of unconscious thought, Newell and Shanks scrutinize the science that has contributed to our conventional wisdom and offer an important counterpoint to the ever-stronger traction that the unconscious mind has gained in public debate, such as the now ubiquitous claim that unconscious bias plays a large role in people's decisions and behavior. Open Minded is divided into two sections: the first examines the modern understanding of the conscious mind, and the second shifts the focus to how to reform current research. Focusing on the core processes of decision making, Newell and Shanks cut through many questionable claims about unconscious behavior. Then, they delve into the nuts-and-bolts of methodology, challenging not only psychology and the behavioral sciences but also medicine and science more broadly. In this against-the-grain approach, Newell and Shanks chart new possibilities for how we may be more open to understanding how our minds actually work.

Straight Choices provides a fascinating introduction to the psychology of decision making, enhanced by discussion of relevant examples of decision problems faced in everyday life. Thoroughly revised and updated throughout, this edition provides an integrative account of the psychology of decision-making and shows how psychological research can help us understand our uncertain world. The book emphasizes the relationship between learning and decision-making, arguing that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition which precedes them, and the feedback which follows. The mechanisms of learning and the structure of environments in which decisions are made are carefully examined to explore their impact on our choices. The authors then consider whether we are all constrained to fall prey to cognitive biases, or whether, with sufficient exposure, we can find optimal decision strategies and improve our decision making. This edition highlights advances made in judgment and decision making research, with additional coverage of behavioral insights, nudging, artificial intelligence, and explanation-based decision making. Written in a non-technical manner, this book is an essential read for all students and researchers in cognitive psychology, behavioral economics, and the decision sciences, as well as anyone interested in the nature of decision making.

Straight Choices provides a fascinating introduction to the psychology of decision making, enhanced by discussion of relevant examples of decision problems faced in everyday life. Thoroughly revised and updated throughout, this edition provides an integrative account of the psychology of decision-making and shows how psychological research can help us understand our uncertain world. The book emphasizes the relationship between learning and decision-making, arguing that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition which precedes them, and the feedback which follows. The mechanisms of learning and the structure of environments in which decisions are made are carefully examined to explore their impact on our choices. The authors then consider whether we are all constrained to fall prey to cognitive biases, or whether, with sufficient exposure, we can find optimal decision strategies and improve our decision making. This edition highlights advances made in judgment and decision making research, with additional coverage of behavioral insights, nudging, artificial intelligence, and explanation-based decision making. Written in a non-technical manner, this book is an essential read for all students and researchers in cognitive psychology, behavioral economics, and the decision sciences, as well as anyone interested in the nature of decision making.

It is hard to think of any significant aspect of our lives that is not influenced by what we have learned in the past. Of fundamental importance is our ability to learn the ways in which events are related to one another, called associative learning. This book provides a fresh look at associative learning theory and reviews extensively the advances made over the last twenty years. The Psychology of Associative Learning begins by establishing that the human associative learning system is rational in the sense that it accurately represents event relationships. David Shanks goes on to consider the informational basis of learning, in terms of the memorisation of instances, and discusses at length the application of connectionist models to human learning. The book concludes with an evaluation of the role of rule induction in associative learning. This will be essential reading for graduate students and final year undergraduates of psychology.

It is hard to think of any significant aspect of our lives that is not influenced by what we have learned in the past. Of fundamental importance is our ability to learn the ways in which events are related to one another, called associative learning. This book provides a fresh look at associative learning theory and reviews extensively the advances made over the last twenty years. The Psychology of Associative Learning begins by establishing that the human associative learning system is rational in the sense that it accurately represents event relationships. David Shanks goes on to consider the informational basis of learning, in terms of the memorisation of instances, and discusses at length the application of connectionist models to human learning. The book concludes with an evaluation of the role of rule induction in associative learning. This will be essential reading for graduate students and final year undergraduates of psychology.