Motivation and Reinforcement

Motivation and Reinforcement PDF Author: Robert Schramm
Publisher: Lulu.com
ISBN: 1447748360
Category : Education
Languages : en
Pages : 418

Book Description
One of Lulu's best sellers of all time, the second edition of the book Educate Toward Recovery is now called Motivation and Reinforcement: Turning the Tables on Autism. This book is the ultimate guide to home based autism intervention. It is a forward-thinking guide that translates the Verbal Behavior Approach to ABA into everyday language. With over 100 new pages of material including new Chapters on Social Skills, Behavior Plans, Token Economies, and Advanced Instructional Control methods, this book is a must have even for those who own the 2006 version. International ABA/VB presenter Robert Schramm, explains how you can keep your child engaged in motivated learning throughout his entire day without forcing participation, blocking escape, or nagging procedures. M&R is the full realization of modern ABA/VB Autism Intervention and a great resource for parents, teachers, and therapists working with a child with autism as well as BCBA's looking for ways to improve their approach.

Educate Toward Recovery

Educate Toward Recovery PDF Author: BCBA, Robert, MA Schramm
Publisher:
ISBN: 9781847991461
Category : Autism in children
Languages : en
Pages : 0

Book Description
A Teaching Manual for the Verbal Behavior Approach to ABA: "Robert Schramm has written a book that is a must read for parents, therapists, and teachers of children with autism. This book is clear, heartfelt, informative, and provides behavioral terminology in a way that is applicable and easy to understand. He has beautifully explained Applied Behavior Analysis as an effective, scientifically validated treatment for autism. Robert's book offers realistic hope in a world where it is needed most. We personally recommend this book to every parent or educator of a child in need." (Cherish Twigg, MS, BCBA and Holly Kibbe, MS, BCBA) "This is the best book on the Verbal Behavior approach to ABA that I have seen. If I was going to recommend only one book to either the parents of a child with autism or to anyone who is trying to help a child with autism, this is the book that I would recommend... I would give it five stars out of five." (Reg Reynolds, Ph.D., C.Psych)

Behavioral Neuroscience of Motivation

Behavioral Neuroscience of Motivation PDF Author: Eleanor H. Simpson
Publisher: Springer
ISBN: 3319269356
Category : Medical
Languages : en
Pages : 584

Book Description
This volume covers the current status of research in the neurobiology of motivated behaviors in humans and other animals in healthy condition. This includes consideration of the psychological processes that drive motivated behavior and the anatomical, electrophysiological and neurochemical mechanisms which drive these processes and regulate behavioural output. The volume also includes chapters on pathological disturbances in motivation including apathy, or motivational deficit as well as addictions, the pathological misdirection of motivated behavior. As with the chapters on healthy motivational processes, the chapters on disease provide a comprehensive up to date review of the neurobiological abnormalities that underlie motivation, as determined by studies of patient populations as well as animal models of disease. The book closes with a section on recent developments in treatments for motivational disorders.

Intrinsically Motivated Learning in Natural and Artificial Systems

Intrinsically Motivated Learning in Natural and Artificial Systems PDF Author: Gianluca Baldassarre
Publisher: Springer Science & Business Media
ISBN: 3642323758
Category : Computers
Languages : en
Pages : 453

Book Description
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and interest in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of knowledge and skills that can be used later to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while they are also the basis for processes that strongly affect human well-being, such as the sense of competence, self-determination, and self-esteem. This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimental frameworks for investigating intrinsic motivations. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.

Introduction to Business

Introduction to Business PDF Author: Lawrence J. Gitman
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1455

Book Description
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Beyond Freedom and Dignity

Beyond Freedom and Dignity PDF Author: B. F. Skinner
Publisher: Hackett Publishing
ISBN: 1603840818
Category : Psychology
Languages : en
Pages : 241

Book Description
In this profound and profoundly controversial work, a landmark of 20th-century thought originally published in 1971, B. F. Skinner makes his definitive statement about humankind and society. Insisting that the problems of the world today can be solved only by dealing much more effectively with human behavior, Skinner argues that our traditional concepts of freedom and dignity must be sharply revised. They have played an important historical role in our struggle against many kinds of tyranny, he acknowledges, but they are now responsible for the futile defense of a presumed free and autonomous individual; they are perpetuating our use of punishment and blocking the development of more effective cultural practices. Basing his arguments on the massive results of the experimental analysis of behavior he pioneered, Skinner rejects traditional explanations of behavior in terms of states of mind, feelings, and other mental attributes in favor of explanations to be sought in the interaction between genetic endowment and personal history. He argues that instead of promoting freedom and dignity as personal attributes, we should direct our attention to the physical and social environments in which people live. It is the environment rather than humankind itself that must be changed if the traditional goals of the struggle for freedom and dignity are to be reached. Beyond Freedom and Dignity urges us to reexamine the ideals we have taken for granted and to consider the possibility of a radically behaviorist approach to human problems--one that has appeared to some incompatible with those ideals, but which envisions the building of a world in which humankind can attain its greatest possible achievements.

Schedules of Reinforcement

Schedules of Reinforcement PDF Author: B. F. Skinner
Publisher: B. F. Skinner Foundation
ISBN: 0989983951
Category : Psychology
Languages : en
Pages : 794

Book Description
The contingent relationship between actions and their consequences lies at the heart of Skinner’s experimental analysis of behavior. Particular patterns of behavior emerge depending upon the contingencies established. Ferster and Skinner examined the effects of different schedules of reinforcement on behavior. An extraordinary work, Schedules of Reinforcement represents over 70,000 hours of research primarily with pigeons, though the principles have now been experimentally verified with many species including human beings. At first glance, the book appears to be an atlas of schedules. And so it is, the most exhaustive in existence. But it is also a reminder of the power of describing and explaining behavior through an analysis of measurable and manipulative behavior-environment relations without appealing to physiological mechanisms in the brain. As en exemplar and source for the further study of behavioral phenomena, the book illustrates the scientific philosophy that Skinner and Ferster adopted: that a science is best built from the ground up, from a firm foundation of facts that can eventually be summarized as scientific laws.

Goal-Directed Decision Making

Goal-Directed Decision Making PDF Author: Richard W. Morris
Publisher: Academic Press
ISBN: 0128120991
Category : Psychology
Languages : en
Pages : 486

Book Description
Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making

Transformative Classroom Management

Transformative Classroom Management PDF Author: John Shindler
Publisher: John Wiley & Sons
ISBN: 0470565500
Category : Education
Languages : en
Pages : 391

Book Description
Transformative Classroom Management The natural condition of any classroom is harmonious, satisfying, and productive, so why do so many teachers struggle with problems of apathy, hostility, anxiety, inefficiency, and resistance? In this groundbreaking book, education expert John Shindler presents a powerful model, Transformative Classroom Management (TCM), that can be implemented by any teacher to restore the natural positive feelings in his or her classroom—the love of learning, collaboration, inspiration, and giving—and create a productive learning environment in which all students can achieve. Unlike other classroom management systems that view problems as something to be “handled,” TCM offers suggestions for creating optimal conditions for learning, performance, motivation, and growth. This practical book shows teachers how to abandon ineffective short-term gimmicks, bribes, and punishments and adopt the proven management practices and new habits of mind that will transform their classrooms. Praise for Transformative Classroom Management “Transformative Classroom Management is a practical resource that explains the how and why of classroom management for novice and veteran teachers. Dr. Shindler recognizes the importance of preserving the teacher’s sanity while ensuring the student’s development of a personal sense of responsibility and a positive self-esteem.” —Eileen Matus, principal, South Toms River Elementary School, New Jersey “I have read many other management books by other authors, but Transformative Classroom Management has been the best so far at demystifying the invisible forces in the classroom.” —WILL McELROY, 4th grade teacher, Los Angeles United School District “This book was an invaluable tool for me during my student teaching. It served as a reference book that I found myself continually drawn to while struggling to find ways to effectively manage 29 first graders. The ideas, concepts and suggestions in the book were so innovative and helpful that even my Master Teacher found herself implementing some of the ideas! A must have for all student teachers!” —Carol Gillon, student teacher, Seattle University “Insightful and thoroughly researched, Transformative Classroom Management is an invaluable tool to help teachers, newbies and veterans alike, develop fully functional and engaged learning communities.” —LISA GAMACHE RODRIGUEZ, teacher, Los Angeles Unified School District

Motivated Reinforcement Learning

Motivated Reinforcement Learning PDF Author: Kathryn E. Merrick
Publisher: Springer Science & Business Media
ISBN: 3540891870
Category : Computers
Languages : en
Pages : 206

Book Description
Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments – the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment. This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world. Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems – in particular multiuser, online games.