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Art Therapy with Young Survivors of Sexual Abuse: Lost for Words
by Jenny MurphyDealing with the aftermath of childhood sexual abuse remains one of the major issues in child and adolescent mental health. Yet, until now, little has been written for art therapists and related professionals involved in this sensitive field. Art Therapy with Young Survivors of Sexual Abuse is a guide to practice with this group. Containing a range of illustrative case material from both individual and group therapy, the book addresses the important issues faced by professionals, including:* male therapist countertransference* the therapist's relationship with the client's family and wider networks* assessment using art therapy* the value of art therapy with groups.Art Therapy with Young Survivors of Sexual Abuse will provide not only art therapists, but other professionals working with sexually abused children and adolescents, with a stimulating discussion of the current issues in this area.
Art Therapy with Young Survivors of Sexual Abuse: Lost for Words
by Jenny MurphyDealing with the aftermath of childhood sexual abuse remains one of the major issues in child and adolescent mental health. Yet, until now, little has been written for art therapists and related professionals involved in this sensitive field. Art Therapy with Young Survivors of Sexual Abuse is a guide to practice with this group. Containing a range of illustrative case material from both individual and group therapy, the book addresses the important issues faced by professionals, including:* male therapist countertransference* the therapist's relationship with the client's family and wider networks* assessment using art therapy* the value of art therapy with groups.Art Therapy with Young Survivors of Sexual Abuse will provide not only art therapists, but other professionals working with sexually abused children and adolescents, with a stimulating discussion of the current issues in this area.
The Artful Mind: Cognitive Science and the Riddle of Human Creativity
by Mark TurnerAll normal human beings alive in the last fifty thousand years appear to have possessed, in Mark Turner's phrase, "irrepressibly artful minds." Cognitively modern minds produced a staggering list of behavioral singularities--science, religion, mathematics, language, advanced tool use, decorative dress, dance, culture, art--that seems to indicate a mysterious and unexplained discontinuity between us and all other living things. This brute fact gives rise to some tantalizing questions: How did the artful mind emerge? What are the basic mental operations that make art possible for us now, and how do they operate? These are the questions that occupy the distinguished contributors to this volume, which emerged from a year-long Getty-funded research project hosted by the Center for Advanced Study in the Behavioral Sciences at Stanford. These scholars bring to bear a range of disciplinary and cross-disciplinary perspectives on the relationship between art (broadly conceived), the mind, and the brain. Together they hope to provide directions for a new field of research that can play a significant role in answering the great riddle of human singularity.
The Artful Mind: Cognitive Science and the Riddle of Human Creativity
by Mark TurnerAll normal human beings alive in the last fifty thousand years appear to have possessed, in Mark Turner's phrase, "irrepressibly artful minds." Cognitively modern minds produced a staggering list of behavioral singularities--science, religion, mathematics, language, advanced tool use, decorative dress, dance, culture, art--that seems to indicate a mysterious and unexplained discontinuity between us and all other living things. This brute fact gives rise to some tantalizing questions: How did the artful mind emerge? What are the basic mental operations that make art possible for us now, and how do they operate? These are the questions that occupy the distinguished contributors to this volume, which emerged from a year-long Getty-funded research project hosted by the Center for Advanced Study in the Behavioral Sciences at Stanford. These scholars bring to bear a range of disciplinary and cross-disciplinary perspectives on the relationship between art (broadly conceived), the mind, and the brain. Together they hope to provide directions for a new field of research that can play a significant role in answering the great riddle of human singularity.
Artful Therapy
by Judith Aron RubinUse the therapeutic potential of art to make progress in your practice Artful Therapy shows you how to use art to make a difference in therapy. Using visual imagery and art creation, you can help people with medical problems understand how they feel about their illness; victims of abuse "tell without talking"; and substance abuse and eating disorder clients tap into unresolved issues. These are just a few examples of how the power of art can improve your practice. Ideal for mental health professionals and allied workers with little or no art background, this accessible and proven guide takes you through the techniques of using art and visual imagery, and shows you how they can benefit clients of varying ages and abilities. With the art therapy tools provided, you can open potentially groundbreaking new dialogues with your clients. Author Judith Aron Rubin draws on more than forty years experience as an art therapist to help you maximize the value of art as a therapeutic tool, in both the mental health disciplines, such as psychology and social work, and related specialties. An accompanying DVD contains models for practitioners, showing art therapy being used in actual clinical practice. The DVD clearly models: * Initiating the art-making process * Using art in assessment * Using mental imagery, with or without art * Implementing other art forms--such as drama and music--in therapy * Using art with a variety of client types, including children, families, and groups * Assigning art as "homework" Whether or not you have used art therapy with your clients or are thinking about integrating art therapy in your practice, making the most of art in the clinical setting begins with Artful Therapy.
Arthur Jensen: Consensus And Controversy
by Sohan Modgil Celia ModgilFirst Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
Arthur Jensen: Consensus And Controversy
by Sohan Modgil, Celia Modgil and Arthur R. JensenFirst Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
Articulating Childhood Trauma: In the Context of War, Sexual Abuse and Disability
by Kamayani KumarThe volume addresses the pertinent need to examine childhood trauma revolving around themes of war, sexual abuse, and disability. Drawing narratives from spatial, temporal, and cultural contexts, the book analyses how conflict, abuse, domestic violence, contours of gender construction, and narratives of ableism affect a child’s transactions with society. While exploring complex manifestations of children’s experience of trauma, the volume seeks to understand the issues related to translatability/representation, of trauma bearing in mind the fact that children often lack the language to express their sense of loss. The book in its study of childhood trauma does a close exegesis of select literary pieces, drawings done by children, memoirs, and graphic narratives.Academicians and research scholars from the disciplines of childhood studies, trauma studies, resilience studies, visual studies, gender studies, cultural studies, disability studies, and film studies stand to benefit from this volume. The ideas that have been expressed in this volume will richly contribute towards further research and scholarship in this domain.
Articulating Childhood Trauma: In the Context of War, Sexual Abuse and Disability
The volume addresses the pertinent need to examine childhood trauma revolving around themes of war, sexual abuse, and disability. Drawing narratives from spatial, temporal, and cultural contexts, the book analyses how conflict, abuse, domestic violence, contours of gender construction, and narratives of ableism affect a child’s transactions with society. While exploring complex manifestations of children’s experience of trauma, the volume seeks to understand the issues related to translatability/representation, of trauma bearing in mind the fact that children often lack the language to express their sense of loss. The book in its study of childhood trauma does a close exegesis of select literary pieces, drawings done by children, memoirs, and graphic narratives.Academicians and research scholars from the disciplines of childhood studies, trauma studies, resilience studies, visual studies, gender studies, cultural studies, disability studies, and film studies stand to benefit from this volume. The ideas that have been expressed in this volume will richly contribute towards further research and scholarship in this domain.
Artifacts in Behavioral Research: Robert Rosenthal and Ralph L. Rosnow's Classic Books
by Robert Rosenthal Ralph L. RosnowThis new combination volume of three-books-in-one, dealing with the topic of artifacts in behavioral research, was designed as both introduction and reminder. It was designed as an introduction to the topic for graduate students, advanced undergraduates, and younger researchers. It was designed as a reminder to more experienced researchers, in and out of academia, that the problems of artifacts in behavioral research, that they may have learned about as beginning researchers, have not gone away. For example, problems of experimenter effects have not been solved. Experimenters still differ in the ways in which they see, interpret, and manipulate their data. Experimenters still obtain different responses from research participants (human or infrahuman) as a function of experimenters' states and traits of biosocial, psychosocial, and situational origins. Experimenters' expectations still serve too often as self-fulfilling prophecies, a problem that biomedical researchers have acknowledged and guarded against better than have behavioral researchers; e.g., many biomedical studies would be considered of unpublishable quality had their experimenters not been blind to experimental condition. Problems of participant or subject effects have also not been solved. We usually still draw our research samples from a population of volunteers that differ along many dimensions from those not finding their way into our research. Research participants are still often suspicious of experimenters' intent, try to figure out what experimenters are after, and are concerned about what the experimenter thinks of them.
Artifacts in Behavioral Research: Robert Rosenthal and Ralph L. Rosnow's Classic Books
by Robert Rosenthal Ralph L. RosnowThis new combination volume of three-books-in-one, dealing with the topic of artifacts in behavioral research, was designed as both introduction and reminder. It was designed as an introduction to the topic for graduate students, advanced undergraduates, and younger researchers. It was designed as a reminder to more experienced researchers, in and out of academia, that the problems of artifacts in behavioral research, that they may have learned about as beginning researchers, have not gone away. For example, problems of experimenter effects have not been solved. Experimenters still differ in the ways in which they see, interpret, and manipulate their data. Experimenters still obtain different responses from research participants (human or infrahuman) as a function of experimenters' states and traits of biosocial, psychosocial, and situational origins. Experimenters' expectations still serve too often as self-fulfilling prophecies, a problem that biomedical researchers have acknowledged and guarded against better than have behavioral researchers; e.g., many biomedical studies would be considered of unpublishable quality had their experimenters not been blind to experimental condition. Problems of participant or subject effects have also not been solved. We usually still draw our research samples from a population of volunteers that differ along many dimensions from those not finding their way into our research. Research participants are still often suspicious of experimenters' intent, try to figure out what experimenters are after, and are concerned about what the experimenter thinks of them.
Artificial Believers: The Ascription of Belief
by Afzal Ballim Yorick WilksModeling of individual beliefs is essential to the computer understanding of natural languages. Phenomena at all levels -- syntactic, semantic, and pragmatic -- cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer. This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can -- in the best cognitive science tradition -- shed light on the long-standing philosophical problem of what belief is. The issues presented here will be of considerable interest to an informed general reader as well as those with a background in any of the disciplines that make up what is now called cognitive science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.
Artificial Believers: The Ascription of Belief
by Afzal Ballim Yorick WilksModeling of individual beliefs is essential to the computer understanding of natural languages. Phenomena at all levels -- syntactic, semantic, and pragmatic -- cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer. This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can -- in the best cognitive science tradition -- shed light on the long-standing philosophical problem of what belief is. The issues presented here will be of considerable interest to an informed general reader as well as those with a background in any of the disciplines that make up what is now called cognitive science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.
Artificial Intelligence: Research Directions in Cognitive Science: European Perspectives Vol. 5 (Psychology Revivals)
by D. Sleeman;N.O. BernsenOriginally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.
Artificial Intelligence: The Psi-Organ in a Nutshell (SpringerBriefs in Computer Science)
by Dietmar DietrichTo be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this “booklet” is to present the subject in a nutshell and to attract a wider audience to this highly complex topic. Scientists often need years to grasp the scope and implications of merging the psyche with the neural system. Does that really have to be the case? What does the simulated model look like? What are the underlying philosophies? Can it be understood without mathematical formalism? Uniting the psyche and neurology in one model, on the one hand, allows psychological and social theories to be tested on a scientific basis using simulation experiments. On the other hand, a model developed according to the functional structures of the human brain, let us call it the Psi-Organ, which comprises neurology and psyche as one unit, can serve as a basis for AI systems. These can be systems with cognitive capabilities that save human lives, save energy, ensure safety at airports, provide support in caring for the elderly and much more. In other words, systems that can simplify our lives in the most relevant ways and on a broad basis. This model, the Psi-Organ, goes far beyond today's primarily behavior-based AI methods. The manuscript can serve as an excellent introduction to the problem of understanding and modelling the human mind, and to the problem of achieving artificial “intelligence” in general, increasing awareness and understanding for the associated challenges. In that regard, it is a valuable supplementary text for advanced students or researchers in the field, notably not only in AI, but also (and perhaps primarily) in the medical fields.
Artificial Intelligence: An Introduction (Psychology Revivals)
by Alan GarnhamFirst published in 1987, this book provides a stimulating introduction to artificial intelligence (AI) - the science of thinking machines. After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account of AI research in five major areas: knowledge representation, vision, thinking and reasoning, language, and learning. He then describes the more important applications of AI and discusses the broader philosophical issues raised by the possibility of thinking machines. In the final chapter, he speculates about future research in AI, and more generally in cognitive science. Suitable for psychology students, the book also provides useful background reading for courses on vision, thinking and reasoning, language and learning.
Artificial Intelligence: An Introduction (Psychology Revivals)
by Alan GarnhamFirst published in 1987, this book provides a stimulating introduction to artificial intelligence (AI) - the science of thinking machines. After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account of AI research in five major areas: knowledge representation, vision, thinking and reasoning, language, and learning. He then describes the more important applications of AI and discusses the broader philosophical issues raised by the possibility of thinking machines. In the final chapter, he speculates about future research in AI, and more generally in cognitive science. Suitable for psychology students, the book also provides useful background reading for courses on vision, thinking and reasoning, language and learning.
Artificial Intelligence: Research Directions in Cognitive Science: European Perspectives Vol. 5 (Psychology Revivals)
by D. Sleeman N. O. BernsenOriginally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.
Artificial Intelligence and Creativity: An Interdisciplinary Approach (Studies in Cognitive Systems #17)
by T. DartnallCreativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the `sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity.
Artificial Intelligence and Inclusive Education: Speculative Futures and Emerging Practices (Perspectives on Rethinking and Reforming Education)
by Jeremy Knox Yuchen Wang Michael GallagherThis book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning.To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, A Storytelling Machine
by Selmer Bringsjord David FerrucciIs human creativity a wall that AI can never scale? Many people are happy to admit that experts in many domains can be matched by either knowledge-based or sub-symbolic systems, but even some AI researchers harbor the hope that when it comes to feats of sheer brilliance, mind over machine is an unalterable fact. In this book, the authors push AI toward a time when machines can autonomously write not just humdrum stories of the sort seen for years in AI, but first-rate fiction thought to be the province of human genius. It reports on five years of effort devoted to building a story generator--the BRUTUS.1 system. This book was written for three general reasons. The first theoretical reason for investing time, money, and talent in the quest for a truly creative machine is to work toward an answer to the question of whether we ourselves are machines. The second theoretical reason is to silence those who believe that logic is forever closed off from the emotional world of creativity. The practical rationale for this endeavor, and the third reason, is that machines able to work alongside humans in arenas calling for creativity will have incalculable worth.
Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, A Storytelling Machine
by Selmer Bringsjord David FerrucciIs human creativity a wall that AI can never scale? Many people are happy to admit that experts in many domains can be matched by either knowledge-based or sub-symbolic systems, but even some AI researchers harbor the hope that when it comes to feats of sheer brilliance, mind over machine is an unalterable fact. In this book, the authors push AI toward a time when machines can autonomously write not just humdrum stories of the sort seen for years in AI, but first-rate fiction thought to be the province of human genius. It reports on five years of effort devoted to building a story generator--the BRUTUS.1 system. This book was written for three general reasons. The first theoretical reason for investing time, money, and talent in the quest for a truly creative machine is to work toward an answer to the question of whether we ourselves are machines. The second theoretical reason is to silence those who believe that logic is forever closed off from the emotional world of creativity. The practical rationale for this endeavor, and the third reason, is that machines able to work alongside humans in arenas calling for creativity will have incalculable worth.
Artificial Intelligence and Machine Learning in Healthcare
by Dharmendra Kumar Yadav Anamika GulatiThis book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare.
Artificial Intelligence and the Future of Testing
by Roy FreedleThis volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors, graph comprehension and computer vision, student reasoning and human accessing, modeling software design within a general problem-space architecture, memory organization and retrieval, and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities, and selective critical commentaries by two eminent AI researchers. As Roy Freedle notes in his introduction, "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement, and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire.
Artificial Intelligence and the Future of Testing
by Roy FreedleThis volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors, graph comprehension and computer vision, student reasoning and human accessing, modeling software design within a general problem-space architecture, memory organization and retrieval, and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities, and selective critical commentaries by two eminent AI researchers. As Roy Freedle notes in his introduction, "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement, and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire.