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This book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place. A wide variety of technical practitioners—e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers—may be interested in further exploring these topics. Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application.
In recent years AI has been experiencing a deep internal debate on the appropriateness of the symbolic-based paradigm and all of its consequences. While various symbolic representation schemes, as well as their integration, have been proposed, their limitations have continuously pushed researchers for improved versions or entirely new ones. New viewpoints such as the complex dynamic-based approach with neural nets can be regarded simply as new problem solving techniques with specific properties. Under this perspective, what seems to be important is the ability to combine heterogeneous representation and problem-solving techniques. Research on heterogeneous, intelligent systems goes hand in hand with research on specific problem solving methods and paradigms, therefore representing their conceptual and practical glueing element. The papers contained in this proceedings are just one instance of such awareness activity in the international scientific community.
In the wake of the Brexit vote and the election of Donald Trump, globalization has found itself increasingly under the microscope. An active international discussion is underway, and the ideological viewpoint that the reversal of globalization and a return to protectionism and isolation will cure the world's ills is touted by many. In the midst of the growing prominence of international interconnectivity and contradicting attention attained by skewed misinformation about global impact, Global Business is a straightforward commentary on mega trends in globalization. With insights and observations from academics, practitioners, and practical thinkers from around the world Global Business demystifies the economic, social, and cultural impacts of globalism and globalization, and presents a balanced explanation of what is happening and how it affects everyone. It highlights that technology and change are not new, and explores the path taken to reach our current interconnected global state. It encourages a realistic examination of where we are and invites a dialogue on where we can go together.
"Applied Innovation: A Handbook" outlines how a start-up CEO can take an innovation from concept to repeat sales including everything from the strategic elements of what innovation is to business models and intellectual property to how one sets up an advisory board etc. This work focuses on offering a road map for building a company from the ground up but can be applied to existing firms as well. The premise is that anyone can learn and apply the concepts of innovation in any part of their business and personal life if they know what is required.
What are the conditions that foster true novelty and allow visionaries to set their eyes on unknown horizons? What have been the challenges that have spawned new innovations, and how have they shaped modern biology? In Dreamers, Visionaries, and Revolutionaries in the Life Sciences, editors Oren Harman and Michael R. Dietrich explore these questions through the lives of eighteen exemplary biologists who had grand and often radical ideas that went far beyond the run-of-the-mill science of their peers. From the Frenchman Jean-Baptiste Lamarck, who coined the word “biology” in the early nineteenth century, to the American James Lovelock, for whom the Earth is a living, breathing organism, these dreamers innovated in ways that forced their contemporaries to reexamine comfortable truths. With this collection readers will follow Jane Goodall into the hidden world of apes in African jungles and Francis Crick as he attacks the problem of consciousness. Join Mary Lasker on her campaign to conquer cancer and follow geneticist George Church as he dreams of bringing back woolly mammoths and Neanderthals. In these lives and the many others featured in these pages, we discover visions that were sometimes fantastical, quixotic, and even threatening and destabilizing, but always a challenge to the status quo.
This Summer 2009 (VII, 3) issue of Human Architecture: Journal of the Sociology of Self-Knowledge, is devoted to the theme “Sociological Re-Imaginations in & of Universities.” As part of the journal’s continuing series critically engaging with C. Wright Mills’ “sociological imagination,” i.e., the proposition that the best way to theorize and practice sociology is via a continual conversation between the study of one’s personal troubles and that of broader public issues, the present issue turns its attention to fostering sociological re-imaginations in and of universities. Several faculty, recent graduates or alumni, and current undergraduate students advance insightful, critical perspectives about their own learning and teaching experiences and personal “troubles,” and broader university, disciplinary, and administrative “public issues” that in their view merit immediate attention in favor of fundamental rectifications of outdated procedures and educational habita that continue to persist at the cost of more creative, and in fact more scientific and rational, approaches to production and dissemination of knowledge. Contributors include: Satoshi Ikeda, Sandra J. Song, L. Lynda Harling Stalker, Jason Pridmore, Festus Ikeotuonye, Samuel Zalanga, Donald A. Nielsen, Anne Bubriski, Penelope Roode, Belle Summer, E. M. Walsh, Ann Marie Moler, Minxing Zheng, Andrew Messing, Jillian Pelletier, Christine Quinn, Trevor Doherty, Lisa Kemmerer, and Mohammad H. Tamdgidi (also as journal editor-in-chief). Human Architecture: Journal of the Sociology of Self-Knowledge is a publication of OKCIR: The Omar Khayyam Center for Integrative Research in Utopia, Mysticism, and Science (Utopystics). For more information about OKCIR and other issues in its journal’s Edited Collection as well as Monograph and Translation series visit OKCIR’s homepage.
Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.
This book discusses common management and work practices in professional service organizations. Alvehus opens important discussions on what it means to work, manage, and be managed in such professional organizations, casting light on classic conflicts. He takes everyday work as a starting point and adopts a critical view that focuses on challenges and struggles in both public and private settings. He offers new perspectives and key insights for the future of professionalism. Providing a comprehensive overview of the field, this book is an important guide for understanding how professionalism is maintained in today’s organizations. It will be essential reading for students and scholars of management and leadership.
In response to a growing human trafficking problem and domestic and international pressure, human trafficking and the use of slave labor were first criminalized in Russia in 2003. In Trafficking Justice, Lauren A. McCarthy explains why Russian police, prosecutors, and judges have largely ignored this new weapon in their legal arsenal, despite the fact that the law was intended to make it easier to pursue trafficking cases.Using a combination of interview data, participant observation, and an original dataset of more than 5,500 Russian news media articles on human trafficking cases, McCarthy explores how trafficking cases make their way through the criminal justice system, covering multiple forms of the crime—sexual, labor, and child trafficking—over the period 2003–2013. She argues that to understand how law enforcement agencies have dealt with trafficking, it is critical to understand how their "institutional machinery"—the incentives, culture, and structure of their organizations—channels decision-making on human trafficking cases toward a familiar set of routines and practices and away from using the new law. As a result, law enforcement often chooses to charge and prosecute traffickers with related crimes, such as kidnapping or recruitment into prostitution, rather than under the 2003 trafficking law because these other charges are more familiar and easier to bring to a successful resolution. In other words, after ten years of practice, Russian law enforcement has settled on a policy of prosecuting traffickers, not trafficking.
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.