Mathematical Models of Attitude Change, Volume 1: Change in Single Attitudes and Cognitive Structure presents the mathematical models that address the existing verbal attitude change theories, which are translated into families of mathematical models. This book discusses the two types of attitude change, namely, the attitude toward the object of the message and the attitude toward the source of the message. Organized into three parts encompassing 17 chapters, this volume begins with an overview of the mathematical models of attitude change that are derived from several theories. This text then explains the empirical work designed to test selected mathematical models of attitude change. Other chapters consider the predictions made by different models, including reinforcement, information processing, social judgment, balance, dissonance, and congruity. This book discusses as well the attitude-related variable, namely, belief and belief change. The final chapter deals with models of change in hierarchical organized attitudes using alternative theories of attitude change. This book is a valuable resource for psychologists.

"5 Change Management Models Every Agile Leader Should Know" is an indispensable resource that equips Agile practitioners with a deep understanding of various change management models. This book delves into six essential models, carefully exploring their principles, applications, and critiques, providing a comprehensive toolkit to navigate the complex world of organizational change. The journey begins with Lewin's Change Model, which simplifies the change process into three stages: Unfreeze, Change, and Refreeze. It offers a fundamental understanding of how change unfolds. Next, the ADKAR Change Model focuses on individual change readiness by dissecting Awareness, Desire, Knowledge, Ability, and Reinforcement. This model empowers Agile professionals to address the human side of change effectively. The Kubler-Ross Change Curve delves into emotional responses to change with its stages of Denial, Anger, Bargaining, Depression, and Acceptance. This insight helps Agile practitioners manage emotions and lead with empathy. The McKinsey 7S Model introduces a broader perspective, analyzing seven organizational elements and their interdependencies to drive change more holistically. The Bridges Transition Model dives into change's psychological and emotional aspects, emphasizing the importance of managing transitions. Finally, the Knoster-Lippitt Change Model offers a systematic approach to diagnose, plan, implement, and evaluate change. Each model is a valuable tool in the Agile professional's arsenal, enabling them to adapt to changing landscapes and lead successful transformations. "5 Change Management Models" emphasizes the significance of these models in Agile environments. Agile professionals can enhance their flexibility, adaptability, and human-centric approach, ultimately ensuring the success of their projects and organizational initiatives. This book gives them the knowledge and tools required to champion change, lead with empathy, and promote sustainable growth. Whether you are a seasoned Agile practitioner or new to the field, this book is a must-read for mastering the art of change.

No detailed description available for "Professional Accompaniment Model for Change".

This book is intended to assist individuals in dealing with change occurring externally to the person, as well as change that the individual attempts to bring about in themselves. The approaches taken attempt to organize the concepts of change within a broad framework, a continuum (or gradient) which will enable the person to see changes in life as existing on a spectrum from those change phenomena which are external to the individual (e.g., economic or environmental events) to those within the person (e.g., stopping smoking or changing one’s behavior). Within an overarching framework of general systems theory, which emphasizes a holistic view of change, the book describes a number of conceptual structures or what are conceived as “models.” The volume focuses on helping the reader to recognize the way these models appear in the person’s environment, as well as in the individual’s own functioning. Further, the book indicates how the person can apply these models in his or her own efforts to deal with life and change. Thus, each chapter describes the essential idea of a particular model and then provides a section on the applications of that model. The beginning chapters describe several abstract “models” followed by a chapter which presents John Bowlby’s attachment theory and his concept of “internal models,” which reflect individuals’ core perceptions of themselves and others; finally, the book includes a discussion of James Prochaska’s stages of change model which describes the ways in which individuals proceed to make changes in their own behavior and functioning. The book presents a unified view of change in life as it occurs external to, and within, the person and concludes with a discussion of ways the individual can consider these various concepts in efforts to make change. The book is appropriate for three audiences. First, the volume is suitable for mental health professionals for whom the book can provide a unique view of the change process in the treatment they offer and they might request that their patients read the book. Second, the book is relevant for individuals interested in a process of self-change, whether they are contemplating or are in a psychotherapeutic relationship or simply want to make changes in themselves on their own. Third, the book is also relevant for managers in organizations who deal with the concepts of change in the individuals they supervise.

The book contains the Proceedings of the 2010 Conference of the Italian Systems Society. Papers deal with the interdisciplinary study of processes of changing related to a wide variety of specific disciplinary aspects. Classical attempts to deal with them, based on generalising approaches used to study the movement of bodies and environmental influence, have included ineffective reductionistic simplifications. Indeed changing also relates, for instance, to processes of acquisition and varying properties such as for software; growing and aging biological systems; learning/cognitive systems; and socio-economic systems growing and developing through innovations. Some approaches to modelling such processes are based on considering changes in structure, e.g., phase-transitions. Other approaches are based on considering (1) periodic changes in structure as for processes of self-organisation; (2) non-periodic but coherent changes in structure, as for processes of emergence; (3) the quantum level of description. Papers in the book study the problem considering its transdisciplinary nature, i.e., systemic properties studied per se and not within specific disciplinary contexts. The aim of these studies is to outline a transdisciplinary theory of change in systemic properties. Such a theory should have simultaneous, corresponding and eventually hierarchical disciplinary aspects as expected for a general theory of emergence. Within this transdisciplinary context, specific disciplinary research activities and results are assumed to be mutually represented as within a philosophical and conceptual framework based on the theoretical centrality of the observer and conceptual non-separability of context and observer, related to logically open systems and Quantum Entanglement. Contributions deal with such issues in interdisciplinary ways considering theoretical aspects and applications from Physics, Cognitive Science, Biology, Artificial Intelligence, Economics, Architecture, Philosophy, Music and Social Systems.

The articles of this volume are centered around two competing views on language change originally presented at the 2003 International Conference on Historical Linguistics in the two important plenary papers by Henning Andersen and William Croft. The latter proposes an evolutionary model of language change within a domain-neutral model of a 'generalized analysis of selection', whereas Henning Andersen takes it that cultural phenomena could not possibly be handled, i.e. observed, described, understood, in the same way as natural phenomena. These papers are models of succinct presentation of important theoretical framework. The other papers present and discuss additional models of change, e.g. invisible hand-processes, system-internal models, functional and cognitive models. Most papers do not subscribe to the evolutionary model; instead, they focus on functional factors in the selection and propagation of variants (as opposed to factors of code efficiency), or on cognitive and pragmatic perspectives. Several papers are inspired by the late Eugenio Coseriu and by Henning Andersen's theories on language change. In particular, the volume contains articles proposing interesting grammaticalization studies and extended models of grammaticalization. The clear presentation of important and competing approaches to fundamental questions concerning language change will be of high interest for scholars and students working in the field of diachrony and typology. The languages referred to in the papers include Cantonese, the Chukotko-Kamchatkan languages, Danish, English, Eskimo languages, German, Norwegian, Russian, Spanish, and Swedish.

Population change and population forecasts are receiving considerable attention from governmental planners and policy-makers, as well as from the private sector. Old patterns of population redistribution, industrial location, labor-force participation, household formation, and fertility are changing. The resulting uncertainty has increased interest in forecasting because mere extrapolations of past trends are proving inadequate. In the United States of America popUlation forecasts received even more attention after federal agencies began distributing funds for capital infrastructure to state and local governments on the basis of projected future populations. If the national government had based those funding decisions on locally prepared projections, the optimism of local officials would have resulted in billions of dollars worth of excess capacity in sewage treatment plants alone. Cabinet-level inquiries concluded that the U. S. Department of Commerce should (1) assume the responsibility for developing a single set of projections for use whenever future population was a consideration in federal spending decisions and (2) develop methods which incorporate both economic and demographic factors causing population change. Neither the projections prepared by economists at the Bureau of Economic Analysis nor those prepared by demographers at the Bureau of the Census were considered satisfactory because neither method adequately recognized the intertwined nature of demographic and economic change. Against this background, the American Statistical Association (ASA) and the U. S.

“Top agricultural scientists from around the world have taken up the challenge of sustainable agriculture, with the specific focus on integrating agronomic, climatological, biophysical and socio-economic perspectives and processes. Every chapter (of the Handbook) contributes to addressing the growing food-security challenges facing the world.”Foreword by Jeffrey Sachs, Director of the Earth Institute at Columbia UniversityClimate effects on agriculture are of increasing concern in both the scientific and policy communities because of the growing population and the greater uncertainty in the weather during growing seasons. Changes in production are directly linked to variations in temperature and precipitation during the growing season and often to the offseason changes in weather because of soil water storage to replenish the soil profile. This is not an isolated problem but one of worldwide interest because each country has concerns about their food security.The Agricultural Model Intercomparison and Improvement Project (AgMIP) was developed to evaluate agricultural models and intercompare their ability to predict climate impacts. In sub-Saharan Africa and South Asia, South America and East Asia, AgMIP regional research teams (RRTs) are conducting integrated assessments to improve understanding of agricultural impacts of climate change (including biophysical and economic impacts) at national and regional scales. Other AgMIP initiatives include global gridded modeling, data and information technology (IT) tool development, simulation of crop pests and diseases, site-based crop-climate sensitivity studies, and aggregation and scaling.