An Empirical Model of Learning Under Ambiguity

An Empirical Model of Learning Under Ambiguity
Author: Jose M. Fernandez
Publisher:
Total Pages: 0
Release: 2013
Genre:
ISBN:

In this paper, I present an empirical model of learning under ambiguity in the context of clinical trials. Patients are concern with learning the treatment effect of the experimental drug, but face the ambiguity of random group assignment. A two dimensional Bayesian model of learning is proposed to capture patients' beliefs on the treatment effect and group assignment. These beliefs are then used to predict patient attrition in clinical trials. Patient learning is demonstrated to be slower when taking into account group ambiguity. In addition, the model corrects for attrition bias in the estimated treatment effect.

Human Fallibility

Human Fallibility
Author: Johannes Bauer
Publisher: Springer Science & Business Media
Total Pages: 280
Release: 2012-03-18
Genre: Education
ISBN: 9048139406

A curious ambiguity surrounds errors in professional working contexts: they must be avoided in case they lead to adverse (and potentially disastrous) results, yet they also hold the key to improving our knowledge and procedures. In a further irony, it seems that a prerequisite for circumventing errors is our remaining open to their potential occurrence and learning from them when they do happen. This volume, the first to integrate interdisciplinary perspectives on learning from errors at work, presents theoretical concepts and empirical evidence in an attempt to establish under what conditions professionals deal with errors at work productively—in other words, learn the lessons they contain. By drawing upon and combining cognitive and action-oriented approaches to human error with theories of adult, professional, and workplace learning this book provides valuable insights which can be applied by workers and professionals. It includes systematic theoretical frameworks for explaining learning from errors in daily working life, methodologies and research instruments that facilitate the measurement of that learning, and empirical studies that investigate relevant determinants of learning from errors in different professions. Written by an international group of distinguished researchers from various disciplines, the chapters paint a comprehensive picture of the current state of the art in research on human fallibility and (learning from) errors at work.

Ambiguity Resolution in Language Learning

Ambiguity Resolution in Language Learning
Author: Hinrich Schütze
Publisher: Center for the Study of Language and Information Publications
Total Pages: 230
Release: 1997-05-13
Genre: Language Arts & Disciplines
ISBN: 9781575860749

This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.

Working Paper

Working Paper
Author:
Publisher:
Total Pages: 56
Release: 2002-10
Genre: Economic development
ISBN:

The Role of Internal Competition in Knowledge Creation

The Role of Internal Competition in Knowledge Creation
Author: Makoto Matsuo
Publisher: Peter Lang
Total Pages: 228
Release: 2005
Genre: Business & Economics
ISBN: 9783039105953

This book is about how to implement creative competition within an organization. It examines the conditions under which internal competition can promote knowledge acquisition and knowledge sharing. The book describes a number of studies of sales departments in Japanese firms. Sales departments in Japanese firms were studied because internal competition is getting fiercer in these departments following the recent introduction of performance-based compensation. Exploratory case studies of ORIX Corporation and Japan Computer were conducted in order to generate research hypotheses. To gather quantitative data and test the hypotheses drawn from the case studies, a questionnaire survey of sales departments of Japanese firms listed on the Tokyo Stock Exchange was carried out. The findings reported in the book shed new light not only on internal competition theory, but also provide new insights into the theories on knowledge creation and intra-organizational conflict.

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence

Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence
Author: Gogate, Lakshmi
Publisher: IGI Global
Total Pages: 451
Release: 2013-02-28
Genre: Computers
ISBN: 1466629746

The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.

The Impact of Openness and Ambiguity Tolerance on Learning English as a Foreign Language

The Impact of Openness and Ambiguity Tolerance on Learning English as a Foreign Language
Author: Brygida Lika
Publisher: Springer Nature
Total Pages: 187
Release: 2024-02-10
Genre: Language Arts & Disciplines
ISBN: 3031459407

This book highlights the importance of individual learner differences in learning English as a foreign language and reports the findings of a study which investigated the impact of two personality traits, which are, openness to experience and ambiguity tolerance, on target language attainment among Polish secondary school students. The book provides an exhaustive overview of the theoretical issues and existing research related to personality, emphasizing the two traits under investigation, openness, and ambiguity tolerance, which are the focus of the empirical study reported later in the book. The empirical investigation explored relationships between openness to experience and ambiguity tolerance, as well as their impact on attainment in learning English as a foreign language. Moreover, it also aimed to shed light on the link between these traits and students’ assessments (i.e., self-assessment and school grades). The findings of the study provide a basis for proposing specific profiles of foreign language learners with different levels of openness and ambiguity tolerance.

Prospect Theory

Prospect Theory
Author: Peter P. Wakker
Publisher: Cambridge University Press
Total Pages: 519
Release: 2010-07-22
Genre: Business & Economics
ISBN: 1139489100

Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.

Comparative Decision Making

Comparative Decision Making
Author: Philip H. Crowley
Publisher: Oxford University Press
Total Pages: 523
Release: 2013-01-30
Genre: Psychology
ISBN: 0199856818

Decision making cuts across most areas of intellectual enquiry and academic endeavor. The classical view of individual human thinkers choosing among options remains important and instructive, but the contributors to this volume broaden this perspective to characterize the decision making behavior of groups, non-human organisms and even non-living objects and mathematical constructs. A diverse array of methods is brought to bear-mathematical, computational, subjective, neurobiological, evolutionary, and cultural. We can often identify best or optimal decisions and decision making processes, but observed responses may deviate markedly from these, to a large extent because the environment in which decisions must be made is constantly changing. Moreover, decision making can be highly constrained by institutions, natural and social context, and capabilities. Studies of the mechanisms underlying decisions by humans and other organisms are just beginning to gain traction and shape our thinking. Though decision making has fundamental similarities across the diverse array of entities considered to be making them, there are large differences of degree (if not kind) that relate to the question of human uniqueness. From this survey of views and approaches, we converge on a tentative agenda for accelerating development of a new field that includes advancing the dialog between the sciences and the humanities, developing a defensible classification scheme for decision making and decision makers, addressing the role of morality and justice, and moving advances into applications-the rapidly developing field of decision support.