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Author: Simon French
Publisher: Cambridge University Press
ISBN: 0521883342
Category : Business & Economics
Languages : en
Pages : 503
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Book Description
A multi-disciplinary exploration of how we can help decision makers to deliberate and make better decisions.
Author: Simon French
Publisher: Cambridge University Press
ISBN: 0521883342
Category : Business & Economics
Languages : en
Pages : 503
Get Book
Book Description
A multi-disciplinary exploration of how we can help decision makers to deliberate and make better decisions.
Author: Simon French
Publisher: Cambridge University Press
ISBN: 1139480987
Category : Business & Economics
Languages : en
Pages : 503
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Book Description
Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.
Author: French
Publisher:
ISBN: 9780521255165
Category :
Languages : en
Pages :
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Book Description
Author: Gregory J. Madden
Publisher: John Wiley & Sons
ISBN: 1119126541
Category : Education
Languages : en
Pages : 467
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Book Description
AN INTRODUCTION TO BEHAVIOR ANALYSIS Explore a fascinating introductory treatment of the principles of behavior analysis written by three leading voices in the field An Introduction to Behavior Analysis delivers an engaging and comprehensive introduction to the concepts and applications for graduate students of behavior analysis. Written from the ground up to capture and hold student interest, the book keeps its focus on practical issues. The book offers readers sound analyses of Pavlovian and operant learning, reinforcement and punishment, motivation and stimulus control, language and rule-following, decision-making and clinical behavior analysis. With fully up to date empirical research references and theoretical content, An Introduction to Behavior Analysis thoroughly justifies every principle it describes with empirical support and explicitly points out where more data are required. The text encourages students to analyze their own experiences and some foundational findings in the field in a way that minimizes jargon and maximizes engagement. Readers will also benefit from the inclusion of: A clear articulation and defense of the philosophical assumptions and overarching goals of behavior analysis. A thorough description of objective data collection, experimental methods, and data analysis in the context of psychology An exploration of the core principles of behavior analysis, presented at a level comprehensible to an introductory audience A broad array of principles that cover issues as varied as language, substance-use disorders, and common psychological disorders Perfect for students taking their first course in behavior analysis or behavior modification, An Introduction to Behavior Analysis will also earn a place in the libraries of students pursuing certification through the Behavior Analysis Certification Board or taking courses in the applied psychological sciences.
Author: Enrique Garcia Ceja
Publisher: CRC Press
ISBN: 1000484238
Category : Psychology
Languages : en
Pages : 434
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Book Description
Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.
Author: George Wright
Publisher: Springer Science & Business Media
ISBN: 1461323916
Category : Psychology
Languages : en
Pages : 570
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Book Description
Author: D. von Winterfeldt
Publisher: Cambridge University Press
ISBN: 9780521273046
Category : Psychology
Languages : en
Pages : 624
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Book Description
Decision analysis is a technology designed to help individuals and organizations make wise inferences and decisions. It synthesises ideas from economics, statistics, psychology, operations research, and other disciplines. A great deal of behavioural research is relevant to decision analysis; behavioural scientists have both suggested easy and natural ways to describe and quantify problems and shown the kind of errors to which unaided intuitive judgements can lead. This long-awaited book offers the4first integrative presentation of the principles of decision analysis in a behavioural context. The authors break new ground on a variety of technical topics (sensitivity analysis, the value-utility distinction, multistage inference, attitudes toward risk), and attempt to make intuitive sense out of what have been treated in the literature as endemic biases and other errors of human judgement. Those interested in artificial intelligence will find it the easiest presentation of hierarchical Bayesian inference available.
Author: Jon Bailey
Publisher: Routledge
ISBN: 1135608881
Category : Psychology
Languages : en
Pages : 301
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Book Description
Behavior analysis, a rapidly growing profession, began with the use and application of conditioning and learning techniques to modify the behavior of children or adults presenting severe management problems, often because of developmental disabilities. Now behavior analysts work in a variety of settings, from clinics and schools to workplaces. Especially since their practice often involves aversive stimuli or punishment, they confront many special ethical challenges. Recently, the Behavior Analysis Certification Board codified a set of ten fundamental ethical guidelines to be followed by all behavior analysts and understood by all students and trainees seeking certification. This book shows readers how to follow the BACB guidelines in action. The authors first describe core ethical principles and then explain each guideline in detail, in easily comprehensible, everyday language. The text is richly illuminated by more than a hundred vivid case scenarios about which the authors pose, and later answer questions for readers. Useful appendices include the BACB Guidelines, an index to them, practice scenarios, and suggested further reading. Practitioners, instructors, supervisors, students, and trainees alike will welcome this invaluable new aid to professional development.
Author: Gregory S. Parnell
Publisher: John Wiley & Sons
ISBN: 1118515846
Category : Business & Economics
Languages : en
Pages : 441
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Book Description
A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.
Author: Henry S. Roane
Publisher: Academic Press
ISBN: 0128007931
Category : Psychology
Languages : en
Pages : 682
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Book Description
Applied behavior analysts use applied research to create and implement effective evidence-based procedures in schools, homes, and the community, which have proved effective in addressing behaviors associated with autism and other developmental disorders. The principles underlying this therapeutic approach have been increasingly effective when applied to other populations, settings, and behaviors. Clinical and Organizational Applications of Applied Behavior Analysis explores data-based decision-making in depth to inform treatment selection for behavior change across various populations and contexts. Each chapter addresses considerations related to data collection, single-case research design methodology, objective decision-making, and visual inspection of data. The authors reference a range of published research methods in the area of applied behavior analysis (ABA) as it has been applied to specific topics, as well as utilizing their own clinical work by providing numerous case examples. Reviews current evidence-based practices to provide a comprehensive guide to the application of ABA principles across a range of clinical contexts and applications Divides clinical applications into three sections for ease-of-use: child, adult, and broad-based health Explores the breadth of ABA-based treatment beyond autism and developmental disorders Draws upon a range of subject-matter experts who have clinical and research experience across multiple uses of ABA
