Motivation And Reinforcement

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.

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)

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.

Makes the controversial argument that reinforcement is a real and valuable force in human behavior.

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.

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.

Over the past 30 years, many social psychologists have been critical of the practice of using incentive systems in business, education, and other applied settings. The concern is that money, high grades, prizes, and even praise may be effective in getting people to perform an activity but performance and interest are maintained only so long as the reward keeps coming. Once the reward is withdrawn, the concern is that individuals will enjoy the activity less, perform at a lower level, and spend less time on the task. The claim is that rewards destroy people's intrinsic motivation. Widely accepted, this view has been enormously influential and has led many employers, teachers, and other practitioners to question the use of rewards and incentive systems in applied settings. Contrary to this view, the research by Cameron and Pierce indicates that rewards can be used effectively to enhance interest and performance. The book centers around the debate on rewards and intrinsic motivation. Based on historical, narrative, and meta-analytic reviews, Cameron and Pierce show that, contrary to many claims, rewards do not have pervasive negative effects. Instead, the authors show that careful arrangement of rewards enhances motivation, performance, and interest. The overall goal of the book is to draw together over 30 years of research on rewards, motivation, and performance and to provide practitioners with techniques for designing effective incentive systems.