The Institute of Group Analysis (IGA) celebrates forty years from its foundation with the publication of these two volumes. The first volume aims to publicise the foundations of group analysis (with the earliest papers of Foulkes) as well as the most influential theoretical contributions by pillars of modern group analysis, such as Pines, Brown, and Hopper. The reader will be able to see the development of Group Analysis, form an opinion about the trajectory that it follows, and judge which way the tradition of openness and creative integration of diverse theoretical contributions will lead in the twenty-first century. The second volume focuses on the numerous fields of work that use group analytic principles. Workers in the field of forensic psychotherapy would now consider a great omission if they did not use some form of group analytic intervention, as would professionals dealing with those who manifest personality disorders or different age groups, such as adolescents. Group analysis has made significant contribution to organisational work, to feminism and anti-discrimination (including anti-racism) as well as in education.
The Institute of Group Analysis (IGA) celebrates forty years from its foundation with the publication of two new volumes tracing the foundations and applications of Group Analysis. The first volume ('Foundations') aims to publicise the foundations of group analysis (with the earliest papers of Foulkes) as well as the most influential theoretical contributions by pillars of modern group analysis, such as Pines, Brown, and Hopper. The reader will be able to see the development of Group Analysis, form an opinion about the trajectory that it follows, and judge which way the tradition of openness and creative integration of diverse theoretical contributions will lead in the twenty-first century. The second volume ('Applications') focuses on the numerous fields of work that use group analytic principles. Workers in the field of forensic psychotherapy would now consider it a great omission if they did not use some form of group analytic intervention, as would professionals dealing with those who manifest personality disorders, or those who work with different age groups, such as adolescents.
In the summer of 1988 in Providence, the AMS celebrated its centennial with a wide range of mathematical activities. Among those was a symposium, Mathematics into the Twenty-first Century, which brought together a number of the top research mathematicians who will likely have a significant impact on the mathematics of this century. This book contains the lectures presented by 16 of the 18 individuals who spoke during the symposium. Written by some of the major international figures in mathematical research, this group of articles covers a panorama of the vital areas of mathematics at the turn of the 21st century and gives the general mathematical reader a broad perspective on some of the major trends in research.
This book examines the ways in which we make use of the Group Relations model, set up in the experimental field of the Group Relations conferences, to understand and modify the functioning of working groups. It is based on a psychoanalytic knowledge of the psychosocial development of human beings.
The book combines two main perspectives: the study of the social unconscious and the study of fairy tales. Examining different versions of fairy tales told by different ethnic communities teaches us about the relations between universal and local/cultural aspects of the social unconscious. Exploring the unique status of fairy tales as located on the border line between concrete/somatic and abstract/linguistic realms sheds light on different levels of the human mind. The book focuses on a specific phenomenon common in fairy tales: a realization of idiomatic expressions - a phenomenon in which an abstract/mental idea is hidden behind a concrete event embedded in the plot. Deciphering the abstract idea out of the pictorial world of the fairy tale enables to understand the stories in a way which is not available otherwise. The book suggests interdisciplinary examination, reminding us the rich, deep messages hidden in fairy tales, and connecting us to early developments in the field of psychoanalysis, by suggesting new interpretation to old, ancient material.
Stock Analysis in the Twenty-First Century and Beyond For years, financial analysts have struggled with the fact that practically all the financial measures used to analyze corporate performance lack predictive power when it comes to forecasting the market performance of the company’s stock. Numerous academic studies have documented and reported this lack of predictability. Correlation coefficients close to zero have been reported for the relationship between stock market performance and such critical financial measures as earnings growth, sales growth, price/earnings ratio, return on equity, intrinsic value (models based on discounted cash flow or dividends), and many more. It is this disconnect between traditional financial measures and the performance of stocks in the marketplace that has led to the now-famous efficient market hypothesis, the cornerstone of modern portfolio theory. To accept the idea that the future performance of stocks is unpredictable is to say that nothing a company does will affect the future performance of its stock in the market, and that is absurd. It would be more accurate to say that everything a company does will affect the future performance of its stock in the market. The problem with this statement is that it makes the forecasting of future stock performance so complex that it removes it from the realm of human solution. Confident in the belief that something other than chance and irrational investors determine future stock prices, several research groups around the world have started exploring the use of intelligent computer programs (programs that self-organize based on environmental feedback). Early results are very promising and have provided a glimpse of the economic forces described by Adam Smith as the invisible hand that guides economic activity. Stock Analysis in the Twenty-First Century and Beyond describes the stock analysis problem and explores one of the more successful efforts to harness the new intelligent computer technology. Many people mistakenly classify Artificially Intelligent (AI) computer systems as a form of quantitative analysis. There are two distinct differences between advanced AI systems and traditional quantitative analysis. They are (1) who makes up the selection rules and weighting and (2) what information is used to discriminate between good- and poor-performing securities. In most quantitative systems, even in an advanced expert system form, humans make up the investment rules and mathematically derive the weightings associated with the rules. Computer systems that depend on outside human intelligence to program their actions are not inherently intelligent. In advanced AI systems, the computer makes up its own rules and weightings. The computer learns from examples of good- and poor-performing stocks and determines its own ways for discriminating between them. The procedures that are derived by the computer are often so complex that they defy human understanding. In addition to making up its own rules, advanced AI systems look at corporate financial data differently. Just like in the human brain, where information is not stored in the brain cells but rather in the connections and relationships between cells, so too is corporate performance information stored in the relationships between financial numbers. Assessing the performance of companies is not so much in the numbers as it is in the connections between the numbers. Financial analysts recognized this early on and have used first-order relational information in the form of financial ratios for many years (price/book, debt/equity, current assets / current liabilities, price/earnings, etc.). Now with advanced AI systems, we are finally able to look at and evaluate high-order interrelationships in financial data that have been far too complex to analyze with less sophisticated systems. These then are the fundamental differences between what has been used in the past and what will be used in the future. Cdr. Thomas E. Berghage
Unique resource detailing the day-to-day activity of doctors who work on “the coal face” of psychiatry in an acute setting Dynamic Consultations With Psychiatrists is the outcome of a collaboration between the psychiatrists of a certain hospital and the author, which has continued successfully for more than ten years, containing a number of patient consultations and cases where psychiatry was used successfully to solve a patient’s problem. The presentation of each case, and particularly of the consultation, is meant to demonstrate the process by which insights were gained. Each consultation is written in plain English with the deliberate avoidance of terminology and especially psychoanalytic jargon. Naturally, all identified features of the patients have been deleted or changed so that the patients’ privacy is not compromised. The format is near to a transcript so that the work demonstrates how the understanding evolves and emerges from the process. The structure of the book is not according to a diagnosis but according to “presenting problem” (in other words, the most prominent feature), allowing for easy and efficient accessibility. Sample concepts and learning resources covered and included in Dynamic Consultations With Psychiatrists are as follows: How a doctor is faced with a patient who is suffering in their own particular way and how the clinician gets to develop a deeper understanding of their predicament Difficulties the “coal face” doctors encounter and the challenges they will face in their personal emotional wellbeing Relationships with the other professionals both within their hospital and other agencies Curtailed histories so that there is a seamless exposition of how the conclusions of the consultation have been reached Psychiatrists, psychotherapists, and students/instructors in related programs of study can use Dynamic Consultations With Psychiatrists to gain valuable insight into the thought process of practicing psychiatrists in relation to a myriad of patient problems, allowing them to learn vicariously and become better at dealing with their own patients’ problems.
This edited volume remedies existing deficiencies in the literature on artificial intelligence and education in the context of work. The topics addressed by this book are: • Supporting formal and informal learning through AI• Human-machine collaboration for learning at the workplace, including the potential of human-AI interaction in professional and vocational education contexts, design, use, and evaluation of human-AI hybrid systems for learning• Intelligent and Interactive Technologies for Learning, including natural language processing and speech technologies; data mining and machine learning; knowledge representation and reasoning; semantic web technologies, chat bot-mediated learning, and conversational learning, • AI-enabled applications for skills management and personalized learning, such as AI-enabled coaching, personalized skill management, and intelligent tutoring systems. • Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback.
The International Conference on Fundamental Sciences: Mathematics and Theoretical Physics provided a forum for reviewing some of the significant developments in mathematics and theoretical physics in the 20th century; for the leading theorists in these fields to expound and discuss their views on new ideas and trends in the basic sciences as the new millennium approached; for increasing public awareness of the importance of basic research in mathematics and theoretical physics; and for promoting a high level of interest in mathematics and theoretical physics among school students and teachers. This was a major conference, with invited lectures by some of the leading experts in various fields of mathematics and theoretical physics.
