Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Evidence Decision And Causality PDF full book. Access full book title Evidence Decision And Causality.
| Author | : Arif Ahmed |
| Publisher | : Cambridge University Press |
| Total Pages | : 261 |
| Release | : 2014-08-07 |
| Genre | : Education |
| ISBN | : 1107020891 |
An explanation and defence of evidential decision theory, which emphasises the symptomatic value of options over their causal role.
| Author | : James M. Joyce |
| Publisher | : Cambridge University Press |
| Total Pages | : 281 |
| Release | : 1999-04-13 |
| Genre | : Science |
| ISBN | : 1139471384 |
This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.
| Author | : Rani Lill Anjum |
| Publisher | : Springer Nature |
| Total Pages | : 252 |
| Release | : 2020-06-02 |
| Genre | : Philosophy |
| ISBN | : 3030412393 |
This open access book is a unique resource for health professionals who are interested in understanding the philosophical foundations of their daily practice. It provides tools for untangling the motivations and rationality behind the way medicine and healthcare is studied, evaluated and practiced. In particular, it illustrates the impact that thinking about causation, complexity and evidence has on the clinical encounter. The book shows how medicine is grounded in philosophical assumptions that could at least be challenged. By engaging with ideas that have shaped the medical profession, clinicians are empowered to actively take part in setting the premises for their own practice and knowledge development. Written in an engaging and accessible style, with contributions from experienced clinicians, this book presents a new philosophical framework that takes causal complexity, individual variation and medical uniqueness as default expectations for health and illness.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 335 |
| Release | : 2017-12-21 |
| Genre | : Medical |
| ISBN | : 0309462568 |
Since 1938 and 1941, nutrient intake recommendations have been issued to the public in Canada and the United States, respectively. Currently defined as the Dietary Reference Intakes (DRIs), these values are a set of standards established by consensus committees under the National Academies of Sciences, Engineering, and Medicine and used for planning and assessing diets of apparently healthy individuals and groups. In 2015, a multidisciplinary working group sponsored by the Canadian and U.S. government DRI steering committees convened to identify key scientific challenges encountered in the use of chronic disease endpoints to establish DRI values. Their report, Options for Basing Dietary Reference Intakes (DRIs) on Chronic Disease: Report from a Joint US-/Canadian-Sponsored Working Group, outlined and proposed ways to address conceptual and methodological challenges related to the work of future DRI Committees. This report assesses the options presented in the previous report and determines guiding principles for including chronic disease endpoints for food substances that will be used by future National Academies committees in establishing DRIs.
| Author | : Judea Pearl |
| Publisher | : Basic Books |
| Total Pages | : 432 |
| Release | : 2018-05-15 |
| Genre | : Computers |
| ISBN | : 0465097618 |
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
| Author | : W.L. Harper |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 267 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 9400928653 |
The papers collected here are, with three exceptions, those presented at a conference on probability and causation held at the University of California at Irvine on July 15-19, 1985. The exceptions are that David Freedman and Abner Shimony were not able to contribute the papers that they presented to this volume, and that Clark Glymour who was not able to attend the conference did contribute a paper. We would like to thank the National Science Foundation and the School of Humanities of the University of California at Irvine for generous support. WILLIAM HARPER University of Western Ontario BRIAN SKYRMS University of California at Irvine Vll INTRODUCTION PART I: DECISIONS AND GAMES Causal notions have recently corne to figure prominently in discussions about rational decision making. Indeed, a relatively influential new approach to theorizing about rational choice has come to be called "causal decision theory". 1 Decision problems such as Newcombe's Problem and some versions of the Prisoner's Dilemma where an act counts as evidence for a desired state even though the agent knows his choice of that act cannot causally influence whether or not the state obtains have motivated causal decision theorists.
| Author | : Michael Waldmann |
| Publisher | : Oxford University Press |
| Total Pages | : 769 |
| Release | : 2017 |
| Genre | : Psychology |
| ISBN | : 0199399557 |
Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields.
| Author | : Rani Lill Anjum |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 295 |
| Release | : 2018-10-18 |
| Genre | : Philosophy |
| ISBN | : 0198733666 |
Causation is the main foundation upon which the possibility of science rests. Without causation, there would be no scientific understanding, explanation, prediction, nor application in new technologies. How we discover causal connections is no easy matter, however. Causation often lies hiddenfrom view and it is vital that we adopt the right methods for uncovering it. The choice of methods will inevitably reflect what one takes causation to be, making an accurate account of causation an even more pressing matter. This enquiry informs the correct norms for an empirical study of the world. In Causation in Science and the Methods of Scientific Discovery, Rani Lill Anjum and Stephen Mumford propose nine new norms of scientific discovery. A number of existing methodological and philosophical orthodoxies are challenged as they argue that progress in science is being held back by an overlysimplistic philosophy of causation.
| Author | : Ellery Eells |
| Publisher | : Cambridge University Press |
| Total Pages | : 427 |
| Release | : 1991-03-29 |
| Genre | : Business & Economics |
| ISBN | : 0521392446 |
In this important first book in the series Cambridge Studies in Probability, Induction and Decision Theory, Ellery Eells explores and refines current philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what it is for one factor to be a positive causal factor for another. A salient feature of the book is a new theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central.
| Author | : Ian T. Wells |
| Publisher | : |
| Total Pages | : 84 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
This dissertation defends causal decision theory and argues against its main rival, evidential decision theory. In Chapter 1, I introduce a decision problem in which evidentialists end up predictably worse off, on average, than causalists. This result is surprising since comparisons of average welfare have traditionally been taken to support evidential decision theory and undermine causal decision theory. In Chapter 2, Jack- Spencer and I give a new argument for one of causal decision theory's distinctive recommendations: two-boxing in Newcomb's problem. Unlike arguments based on causal dominance, our argument relies on a more basic principle connecting rational choice to guidance and actual value maximization. In Chapter 3, I take up the issue of rationalization. Is it possible to manipulate the demands of rationality in predictable ways? I argue that it is not. Then I show that if evidential decision theory is true, rationalization is not only possible but sometimes advisable.
