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1. |
Record Nr. |
UNINA9910459591203321 |
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Autore |
Mason Jim |
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Titolo |
No holding back [[electronic resource] ] : the 1980 John B. Anderson presidential campaign / / Jim Mason |
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Pubbl/distr/stampa |
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Lanham, Md., : University Press of America, 2011 |
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ISBN |
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1-283-09887-3 |
9786613098870 |
0-7618-5227-1 |
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Descrizione fisica |
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1 online resource (1154 p.) |
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Disciplina |
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Soggetti |
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Political campaigns - United States |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface; Chapter One; Introduction; "A Different Approach"; Chapter Two; The Anderson Journey: 1901 to March 1978; "Feelings of Isolation and Frustration"; Chapter Three; The Jimmy Carter Presidency: from January 1977 to December 1979; "A Good and Well-Intentioned Man Who Was in Over His Head"; Chapter Four; September 1977 to May 1979; "A Kind of an Anti-Candidate"; Chapter Five; May to December 1979; "An Untraditional Message"; Chapter Six; January to March 1980; "Out of Left Field"; Chapter Seven; March to April 1980:; "A Bright New Force in American Politics"; Chapter Eight |
April to June 1980"A Co-Equal Third Contender"; Chapter Nine; June to August 1980; "Too Careful, Too Concerned with Winning, Too Conventional"; Chapter Ten; September to November 1980; "Delusions and False Hopes"; Chapter Eleven; Epilogue; "A Path Fraught with Obstacles"; Notes; Anderson Campaign Timeline; Interviewees |
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Sommario/riassunto |
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In 1980, John Anderson ran what experts initially considered a quixotic race for the Republican presidential nomination before switching to run as an independent. He ran a unique campaign and won unprecedented support before it eventually fell apart. No Holding Back tells the story of this riveting American political melodrama. |
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2. |
Record Nr. |
UNINA9910456822103321 |
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Autore |
Miller John H (John Howard), <1959-> |
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Titolo |
Complex adaptive systems [[electronic resource] ] : an introduction to computational models of social life / / John H. Miller and Scott E. Page |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, c2007 |
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ISBN |
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1-282-45811-6 |
1-282-93635-2 |
9786612458118 |
9786612936357 |
1-4008-3552-6 |
0-691-12702-6 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (284 p.) |
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Collana |
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Princeton studies in complexity |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Social systems - Mathematical models |
Social sciences - Mathematical models |
Sociale relaties |
Computermodellen |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [255]-260) and index. |
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Nota di contenuto |
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pt. 1. INTRODUCTION. Introduction -- Complexity in social worlds -- pt. 2. PRELIMINARIES. Modeling -- On emergence -- pt. 3. COMPUTATIONAL MODELING. Computation as theory -- Why agent-based objects? -- pt. 4. MODELS OF COMPLEX ADAPTIVE SOCIAL SYSTEMS. A basic framework -- Complex adaptive social systems in one dimension -- Social dynamics -- Evolving automata -- Some fundamentals of organizational decision making -- pt. 5. CONCLUSIONS. Social science in between -- Epilogue -- Appendixes. A. An open agenda for complex adaptive social systems -- B. Practices for computational modeling. |
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Sommario/riassunto |
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This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock |
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markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended. |
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