The Promise And Limits Of Computer Modeling

How Models Progress P.134

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.

Computation and its Limits is an innovative cross-disciplinary investigation of the relationship between computing and physical reality. It begins by exploring the mystery of why mathematics is so effective in science and seeks to explain this in terms of the modelling of one part of physical reality by another. Going from the origins of counting to the most blue-skies proposals for novel methods of computation, the authors investigate the extent to which the laws of nature and of logic constrain what we can compute. In the process they examine formal computability, the thermodynamics of computation, and the promise of quantum computing.

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.