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Author: Simon French
Publisher: Cambridge University Press
Published: 2009-07-30
Total Pages: 503
ISBN-13: 0521883342
DOWNLOAD EBOOK →A multi-disciplinary exploration of how we can help decision makers to deliberate and make better decisions.
Author: Gregory J. Madden
Publisher: John Wiley & Sons
Published: 2021-02-02
Total Pages: 467
ISBN-13: 1119126541
DOWNLOAD EBOOK →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: George Wright
Publisher: Springer Science & Business Media
Published: 2013-03-11
Total Pages: 570
ISBN-13: 1461323916
DOWNLOAD EBOOK →Author: D. von Winterfeldt
Publisher: Cambridge University Press
Published: 1986-09-26
Total Pages: 624
ISBN-13: 9780521273046
DOWNLOAD EBOOK →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: Enrique Garcia Ceja
Publisher: CRC Press
Published: 2021-11-26
Total Pages: 434
ISBN-13: 1000484238
DOWNLOAD EBOOK →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: Kesra Nermend
Publisher: Springer Nature
Published: 2021-08-10
Total Pages: 398
ISBN-13: 3030670201
DOWNLOAD EBOOK →Making important business decisions is usually a difficult and complicated task. In the modern economy where businesses have to solve increasingly complex decision-making problems, it is important to learn and use methods and techniques including the analysis of behavioral data to support decision-making in practice. This book presents various methods and solutions to problems in modern data acquisition techniques and practical aspects of decision making. In particular, it addresses such important issues as: business decision making, multi-criteria decision analysis (MCDA), multidimensional comparative analysis (MCA), decision games and data acquisition techniques for decision making (declarative techniques and cognitive neuroscience techniques). Important topics such as consumers’ rational behavior, environmental management accounting, operational research methods, neuroscience including epigenetics, DEA analysis etc., as well as case studies related to decision making in management are also included.
Author: Florian M. Federspiel
Publisher: Springer
Published: 2024-05-29
Total Pages: 0
ISBN-13: 9783031444234
DOWNLOAD EBOOK →This book lays out a foundation and taxonomy for Behavioral Decision Analysis, featuring representative work across various domains. Traditional research in the domain of Decision Analysis has focused on the design and application of logically consistent tools to support decision makers during the process of structuring problem complexity, modeling uncertainty, generating predictions, eliciting preferences, and, ultimately, making better decisions. Two commonly held assumptions are that the decision maker’s cognitive belief system is fully accessible and that this system can be understood and formalized by trained analysts. However, in past years, an active line of research has emerged studying instances in which such assumptions may not hold. This book unites this community under the common theme of Behavioral Decision Analysis. The taxonomy used in this book categorizes research based on task focus (prediction or decision) and behavioral level (individual or group). Two theoretical lenses that lie at the interface between (1) normative and descriptive research, and (2) normative and prescriptive research are introduced. The book then proceeds to highlight representative works across the two lenses focused on individual and group-level decision making. Featuring various methodologies and applications, the book serves as a reference for researchers, students, and professionals across different disciplines with a common interest in Behavioral Decision Analysis.
Author: Gregory S. Parnell
Publisher: John Wiley & Sons
Published: 2013-01-24
Total Pages: 441
ISBN-13: 1118515846
DOWNLOAD EBOOK →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
Published: 2015-06-20
Total Pages: 682
ISBN-13: 0128007931
DOWNLOAD EBOOK →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
