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1. |
Record Nr. |
UNINA9910784317903321 |
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Autore |
McCarthy Patrick <1941-2007, > |
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Titolo |
Albert Camus, The stranger / / Patrick McCarthy [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2004 |
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ISBN |
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1-107-14868-5 |
1-283-32918-2 |
0-511-16554-4 |
9786613329189 |
0-511-80306-0 |
0-511-16633-8 |
0-511-16440-8 |
0-511-56668-9 |
0-511-16520-X |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (viii, 109 pages) : digital, PDF file(s) |
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Collana |
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Landmarks of world literature |
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Disciplina |
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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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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; Half-title; Title; Copyright; Contents; Preface; Chronology; Chapter 1 Contexts; Chapter 2 The Stranger; Chapter 3 Early Camus and Sartre; Chapter 4 Camus and the Algerian war; Chapter 5 Why and how we read The Stranger: a guide to further reading |
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Sommario/riassunto |
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This handy guide places Albert Camus' The Stranger, one of the seminal texts of existentialism and twentieth-century literature in general, in the context of French and French-Algerian history and culture. In it, Patrick McCarthy examines the way the work undermines traditional concepts of fiction. In addition, he explores the parallels and the contrasts between Albert Camus's work and that of Jean-Paul Sartre. Overall, this account provides students with a useful companion to The Stranger. This second edition boasts a revised guide to further reading and a new chapter on Camus and the Algerian War. |
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2. |
Record Nr. |
UNINA9910962448103321 |
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Autore |
Strevens Michael |
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Titolo |
Bigger than chaos : understanding complexity through probability / / Michael Strevens |
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Pubbl/distr/stampa |
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Cambridge, MA, : Harvard University Press, 2003 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xii, 413 p. ) : ill |
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Classificazione |
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Disciplina |
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Soggetti |
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Probabilities |
Statistical physics |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. 397-401) and index. |
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Nota di contenuto |
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Note to the Reader 1. The Simple Behavior of Complex Systems 1.1 Simplicity in Complex Systems 1.2 Enion Probability Analysis 1.3 Towards an Understanding of Enion Probabilities 2. The Physics of Complex Probability 2.1 Complex Probability Quantified 2.2 Microconstant Probability 2.3 The Interpretation of IC-Variable Distributions 2.4 Probabilistic Networks 2.5 Standard IC-Variables 2.6 Complex Probability and Probabilistic Laws 2.7 Effective and Critical IC-Values 2.A The Method of Arbitrary Functions 2.B More on the Tossed Coin 2.C Proofs 3. The Independence of Complex Probabilities 3.1 Stochastic Independence and Selection Rules 3.2 Probabilities of Composite Events 3.3 Causal Independence 3.4 Microconstancy and Independence 3.5 The Probabilistic Patterns Explained 3.6 Causally Coupled Experiments 3.7 Chains of Linked IC-Values 3.A Conditional Probability 3.B Proofs 4. The Simple Behavior of Complex Systems Explained 4.1 Representing Complex Systems 4.2 Enion Probabilities and Their Experiments 4.3 The Structure of Microdynamics 4.4 Microconstancy and Independence of Enion Probabilities 4.5 Independence of Microdynamic Probabilities 4.6 Aggregation of Enion Probabilities 4.7 Grand Conditions for Simple Macrolevel Behavior 4.8 Statistical Physics 4.9 Population Ecology 5. Implications for the Philosophy of the Higher-Level Sciences 5.1 Reduction 5.2 Higher-Level Laws 5.3 Causal Relevance 5.4 The Social Sciences 5.5 The Mathematics |
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of Complex Systems 5.6 Are There Simple Probabilities? Notes Glossary References Index |
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Sommario/riassunto |
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Michael Strevens shows how simplicity can co-exist with the tangled interconnections within complex systems. By looking at the foundations of statistical reasoning about complex systems (gases, ecosystems and even social systems) he provides an understanding of how simplicity emerges from complexity. |
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