The belief is widely held that the physical world is causally-driven. The world is one because a tangled web of causally-driven processes keeps it together. However, both the psychological and the social worlds cannot be articulated in causal terms only. Hereby, “motivation” is used as the most general term referring to whatever keeps (synchronically) together and provides (diachronic) reasons explaining the behavior of psychological and social systems. In order to systematically address these problems, a categorical framework is needed for understanding the various types of realities populating the world and their multifarious interrelations. The papers collected in this volume dig into some of the intricacies presented by these problems. The papers here presented have been selected from those presented at the workshops bearing the very same name, “Causality and Motivation” organized in Bolzano and Rome.

The belief is widely held that the physical world is causally-driven. The world is one because a tangled web of causally-driven processes keeps it together. However, both the psychological and the social worlds cannot be articulated in causal terms only. Hereby, motivation is used as the most general term referring to whatever keeps (synchronically) together and provides (diachronic) reasons explaining the behavior of psychological and social systems. In order to systematically address these problems, a categorical framework is needed for understanding the various types of realities populating the world and their multifarious interrelations. The papers collected in this volume dig into some of the intricacies presented by these problems. The papers here presented have been selected from those presented at the workshops bearing the very same name, Causality and Motivation organized in Bolzano and Rome."

Sample Text

For a long time I have had the gnawing desire to convey the broad motivational sig nificance of the attributional conception that I have espoused and to present fully the argument that this framework has earned a rightful place alongside other leading theories of motivation. Furthermore, recent investigations have yielded insights into the attributional determinants of affect, thus providing the impetus to embark upon a detailed discussion of emotion and to elucidate the relation between emotion and motivation from an attributional perspective. The presentation of a unified theory of motivation and emotion is the goal of this book. My more specific aims in the chapters to follow are to: 1) Outline the basic princi ples that I believe characterize an adequate theory of motivation; 2) Convey what I perceive to be the conceptual contributions of the perspective advocated by my col leagues and me; 3) Summarize the empirical relations, reach some definitive con clusions, and point out the more equivocal empirical associations based on hypotheses derived from our particular attribution theory; and 4) Clarify questions that have been raised about this conception and provide new material for still further scrutiny. In so doing, the building blocks (if any) laid down by the attributional con ception will be readily identified and unknown juries of present and future peers can then better determine the value of this scientific product.

Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the possible existence of a “causal mechanism”, in the sense that the values of one variable may have been generated from the values of the other. This book provides both tutorial material on the state-of-the-art on cause-effect pairs and exposes the reader to more advanced material, with a collection of selected papers. Supplemental material includes videos, slides, and code which can be found on the workshop website. Discovering causal relationships from observational data will become increasingly important in data science with the increasing amount of available data, as a means of detecting potential triggers in epidemiology, social sciences, economy, biology, medicine, and other sciences.

Learn why the belief in free will doesn't make sense, and why you and the rest of humankind will be better off abandoning it! Free will is an ability many think they posses. Most, however, aren't aware of the dangers imposed by such a belief, and have never thought about free will other than their own assumptions based on a pervasive feeling. The logic, reason, and evidence, however, says something entirely different. Have you ever blamed yourself for something you've done in the past? If so, for how long? Perhaps you still are? Have you ever held a grudge over another person or them you? Perhaps you have hatred for someone who has opposing ideas, thoughts, and beliefs. Or maybe you think someone is more deserving than another or to blame for their own situation? The belief in free will embeds itself within so much of what we think, feel, and do. It isn't just about abstract philosophical metaphysics that applies only to those in academic circles. The belief in free will is a root feeling and concept that has an effect on how most people think about politics, religion, economics, morality / ethics, law, criminal and justice systems, feelings about ourselves, our relationship to others, and our relationship to the world around us. It's for this reason that the topic needs to move away from academia and into the real world. Individually, the free will topic means a lot to you and everything you think, say, and do. Overall, the topic means a great deal for the entirety of humanity. There are real world consequences to holding such a belief in free will, and those consequences are more dire than one would suspect. Free will is often taken for granted and assumed as something positive. The reality, however, is something surprisingly different and, at least initially, counter-intuitive. In actuality, the belief in free will creates people who have resentment, guilt, and hatred. It drives inequality, egoism, poverty dismissal, retributive tendencies, non-connectedness, and a slew of other unhelpful and downright dangerous thoughts and feelings. If we continue holding on to such illusions as if they are real, the future looks bleak. Rather than try to understand causes and fix things at base, we'll just assume that people could have done other than they did. It is, after all, much easier to place blame on people than it is to look for actual causes. It's a much simpler task to suggest that you or the another person simply could have or should have done differently. If, however, we begin to break away from the illusion -- If we begin to understand that free will is not a rational belief -- only then can humanity progress to a state of less ego, more understanding, and start to develop solutions based on reality rather than fictions. We can either keep holding on to the ultimately harmful free will illusion, or break the illusion in the most educated and safe ways possible. And the only way to break the illusion is with well reasoned information. In this enlightening book, 'Trick Slattery gives the ultimate case against free will, and also explores why it's important that we begin to recognize this fact and understand what it means. He makes the case that it's not only an illusion, but a harmful illusion at that. The only way to begin mending the harms this illusion has caused is to understand why it simply can't exist, and what it does and doesn't mean that it doesn't exist. Free will is an illusion. We experience a feeling of free will, but that feeling doesn't correlate with something real. It's only a feeling. Come be a part of the history that breaks the free will illusion for the betterment of humankind!

As I begin to write this Preface, I feel a rush of excitement. I have now finished the book; my gestalt is coming into completion. Throughout the months that I have been writing this, I have, indeed, been intrinsically motivated. Now that it is finished I feel quite competent and self-determining (see Chapter 2). Whether or not those who read the book will perceive me that way is also a concern of mine (an extrinsic one), but it is a wholly separate issue from the intrinsic rewards I have been experiencing. This book presents a theoretical perspective. It reviews an enormous amount of research which establishes unequivocally that intrinsic motivation exists. Also considered herein are various approaches to the conceptualizing of intrinsic motivation. The book concentrates on the approach which has developed out of the work of Robert White (1959), namely, that intrinsically motivated behaviors are ones which a person engages in so that he may feel competent and self-determining in relation to his environment. The book then considers the development of intrinsic motiva tion, how behaviors are motivated intrinsically, how they relate to and how intrinsic motivation is extrinsically motivated behaviors, affected by extrinsic rewards and controls. It also considers how changes in intrinsic motivation relate to changes in attitudes, how people attribute motivation to each other, how the attribution process is motivated, and how the process of perceiving motivation (and other internal states) in oneself relates to perceiving them in others.

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

"Among the most influential models in contemporary behavioral science, self-determination theory (SDT) offers a broad framework for understanding the factors that promote human motivation and psychological flourishing. In this authoritative work, SDT cofounders Richard M. Ryan and Edward L. Deci systematically review the theory's conceptual underpinnings, empirical evidence base, and practical applications across the lifespan. Ryan and Deci demonstrate that supporting people's basic needs for competence, relatedness, and autonomy is critically important for virtually all aspects of individual and societal functioning."--Jacket.