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Many books deal with the techniques of designing, building and testing computer models and simulations, but few have seriously examined what models are based on, their inherent limitations, and their essential role in extending human knowledge. This book fills this need.It focuses on computer models throughout, yet its exposition of the nature and limits of modeling is entirely general. A chapter on the development of celestial mechanics models illustrates how models progress and are essential to natural science. Chapters on models of global climate, population, economics and warfare, illustrate both the possibilities and limits of modeling nature and similar deterministic processes in human affairs.The book also discusses the serious limitations placed on the simulation of human societies and their histories, since models must deal with both cultural and natural forces. The concluding chapter explores virtual realities as systems of interactive images generated by computer models.
An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.
Reductionism as a scientific methodology has been extraordinarily successful in biology. However, recent developments in molecular biology have shown that reductionism is seriously inadequate in dealing with the mind-boggling complexity of integrated biological systems. This title presents an appropriate balance between science and philosophy and covers traditional philosophical treatments of reductionism as well as the benefits and shortcomings of reductionism in particular areas of science. Discussing the issue of reductionism in the practice of medicine it takes into account the holistic and integrative aspects that require the context of the patient in his biological and psychological entirety. The emerging picture is that what first seems like hopeless disagreements turn out to be differences in emphasis. Although genes play an important role in biology, the focus on genetics and genomics has often been misleading. The consensus view leads to pluralism: both reductionst methods and a more integrative approach to biological complexity are required, depending on the questions that are asked. * An even balance of contributions from scientists and philosophers of science - representing a unique interchange between both communities interested in reductionism
An exploration of the relationship between the means and the ends in green politics.
What do public administrators and policy analysts have in common? Their work is undertaken within networks formed when different organizations align to accomplish a policy function. This second edition of Governance Networks in Public Administration and Public Policy offers a conceptual framework for describing governance networks and provides a theoretical and empirical foundation in their construction. Based on research and real-life experience, the book highlights the interplay between public actors and policy tools, details the skills and functions of public administrators in the context of networked relationships, and identifies the reforms and trends in governing that lead to governance networks. This practical text makes complex concepts accessible, so that readers can engage in them, apply them, and deepen their understanding of the dynamics unfolding around them. This second edition includes: A dedicated chapter on “complexity friendly” meso-level theories to examine core questions facing governance network analysis. New applications drawn from the authors’ own work in watershed governance, transportation planning, food systems development, electric energy distribution, the regulation of energy, and response and recovery from natural disasters, as well as from unique computational modeling of governance networks. Instructor and student support materials, including PowerPoint® presentations and writable case study templates, may be found on an accompanying eResource page. Governance Networks in Public Administration and Public Policy, 2e is an indispensable core text for graduate and postgraduate courses on governance and collaboration in schools of Public Administration/Management and Public Policy.
This textbook provides a thorough insight into the discipline of social psychology, creating an integrative and cumulative framework to present students with a rich and engaging account of the human social experience. From a person’s momentary impulses to a society’s values and norms, the diversity of social psychology makes for a fascinating discipline, but it also presents a formidable challenge for presentation in a manner that is coherent and cumulative rather than fragmented and disordered. Using an accessible and readable style, the author shows how the field’s dizzying and highly fragmented array of topics, models, theories, and paradigms can best be understood through a coherent conceptual narrative in which topics are presented in careful sequence, with each chapter building on what has already been learned while providing the groundwork for understanding what follows in the next chapter. The text also examines recent developments such as how computer simulations and big data supplement the traditional methods of experiment and correlation. Also containing a wide range of features, including key term glossaries and compact "summing up and looking ahead" overviews, and covering an enormous range of topics from self-concept to social change, this comprehensive textbook is essential reading for any student of social psychology.
Identification of desirable genotypes with traits of interest is discernible for making genetic improvement of crop plants. In this direction, screening of a large number of germplasm for desirable traits and transfer of identified traits into agronomic backgrounds through recombination breeding is the common breeding approach. Although visual screening is easier for qualitative traits, its use is not much effective for quantitative traits and also for those, which are difficult to score visually. Therefore, it is imperative to phenotype the germplasm accessions and breeding materials precisely using high throughput phenomics tools for challenging and complex traits under natural, controlled and harsh environmental conditions. Realizing the importance of phenotyping data towards identification and utilization of a germplasm as donors, global scientific community has exerted increased focus on advancing phenomics in crop plants leading to development of a number of techniques and methodologies for screening of agronomic, physiological, and biochemical traits. These technologies have now become much advanced and entered the era of digital science. This book provides exhaustive information on various aspects related to phenotyping of crop plants and offers a most comprehensive reference on the developments made in traditional and high throughput phenotyping of agricultural crops.
An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.
An Official Publication of the Society for Simulation in Healthcare, Defining Excellence in Simulation Programs aims to meet the needs of healthcare practitioners using simulation techniques for education, assessment, and research. Increasingly, simulation is an integral part of teaching and training programs in healthcare settings around the world. Simulation models, including virtual simulation, scenario-based simulation with actors, and computerized mannequins, contributes to improved performance and reduced errors in patient care. This text establishes working definitions and benchmarks for the field of simulation and defines the types of simulation programs, while also covering program leadership, funding, staffing, equipment and education models. It provides knowledge critical to the success of simulation program management, simulation educators, and simulation researchers. Written to appeal to the novice to advanced beginner, a special section in each chapter is directed to the competent to expert programs, managers, educators, and researchers, so that this text truly can serve as the comprehensive reference for anyone in simulation.
Computer Simulation Studies in Condensed-Matter Physics X is devoted to Prof. Masuo Suzuki's ideas, which have made novel, new simulations possible. These proceedings, of the 1997 workshop, comprise three parts that deal with new algorithms, methods of analysis, and conceptual developments. The first part contains invited papers that deal with simulational studies of classical systems. The second of the proceedings is devoted to invited papers on quantum systems, including new results for strongly correlated electron and quantum spin models. The final part contains a large number of contributed presentations.