It is generally acknowledged that deterministic formulations of dy namical phenomena in the social sciences need to be treated differently from similar formulations in the natural sciences. Social science phe nomena typically defy precise measurements or data collection that are comparable in accuracy and detail to those in the natural sciences. Con sequently, a deterministic model is rarely expected to yield a precise description of the actual phenomenon being modelled. Nevertheless, as may be inferred from a study of the models discussed in this book, the qualitative analysis of deterministic models has an important role to play in understanding the fundamental mechanisms behind social sci ence phenomena. The reach of such analysis extends far beyond tech nical clarifications of classical theories that were generally expressed in imprecise literary prose. The inherent lack of precise knowledge in the social sciences is a fun damental trait that must be distinguished from "uncertainty. " For in stance, in mathematically modelling the stock market, uncertainty is a prime and indispensable component of a model. Indeed, in the stock market, the rules are specifically designed to make prediction impossible or at least very difficult. On the other hand, understanding concepts such as the "business cycle" involves economic and social mechanisms that are very different from the rules of the stock market. Here, far from seeking unpredictability, the intention of the modeller is a scientific one, i. e.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Preface. Acknowledgements. Part I: Theory. 1. Preliminaries. 2. Dynamics on the real line. 1. Equilibria and their stability. 2. Cycles and limit cycles. 3. Elementary bifurcations. 3: Vector Tangent Equations. 1. Stability. 2. Semiconjugates of maps on the line. 3. Chaotic maps. 4. Polymodal systems and thresholds. 4: Higher Order Scalar Difference Equations. 1. Boundedness and persistent oscillations. 2. Permanence. 3. Global attractivity and related results. Part II: Applications to CSocial Science Models. 5: Chaos and Stability in Some Models. 1. The accelerator-multiplier business cycle models. 2. A productivity growth model. 3. Chaos and competition in a model of consumer behavior. 4. An overlapping generations consumption-loan model. 5. A dynamic model of consumer demand. 6. A bimodal model of combat. 6: Additional Models. 1. Addiction and habit formation. 2. Budgetary competition. 3. Cournot duopoly. 4. Chaos in real exchange rates. 5. Real wages and mode switching. 6. Chaos in a dynamic equilibrium model. 7. Oscillatory behavior in an OLG model. 8. Attractor basins and critical curves in two models. 9. Reducing inflation: gradual vs. shock treatment. 10. Walrasian tatonnement with adaptive expectations. 11. Socio-spatial dynamics. 12. Models of arms race. Bibliography. Index.
Book by Sedaghat H
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 29,67 per la spedizione da Regno Unito a U.S.A.
Destinazione, tempi e costiEUR 3,53 per la spedizione in U.S.A.
Destinazione, tempi e costiDa: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Mar2411530141555
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -It is generally acknowledged that deterministic formulations of dy namical phenomena in the social sciences need to be treated differently from similar formulations in the natural sciences. Social science phe nomena typically defy precise measurements or data collection that are comparable in accuracy and detail to those in the natural sciences. Con sequently, a deterministic model is rarely expected to yield a precise description of the actual phenomenon being modelled. Nevertheless, as may be inferred from a study of the models discussed in this book, the qualitative analysis of deterministic models has an important role to play in understanding the fundamental mechanisms behind social sci ence phenomena. The reach of such analysis extends far beyond tech nical clarifications of classical theories that were generally expressed in imprecise literary prose. The inherent lack of precise knowledge in the social sciences is a fun damental trait that must be distinguished from 'uncertainty. ' For in stance, in mathematically modelling the stock market, uncertainty is a prime and indispensable component of a model. Indeed, in the stock market, the rules are specifically designed to make prediction impossible or at least very difficult. On the other hand, understanding concepts such as the 'business cycle' involves economic and social mechanisms that are very different from the rules of the stock market. Here, far from seeking unpredictability, the intention of the modeller is a scientific one, i. e. 408 pp. Englisch. Codice articolo 9781402011160
Quantità: 2 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781402011160_new
Quantità: Più di 20 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is generally acknowledged that deterministic formulations of dy namical phenomena in the social sciences need to be treated differently from similar formulations in the natural sciences. Social science phe nomena typically defy precise measurements or data collection that are comparable in accuracy and detail to those in the natural sciences. Con sequently, a deterministic model is rarely expected to yield a precise description of the actual phenomenon being modelled. Nevertheless, as may be inferred from a study of the models discussed in this book, the qualitative analysis of deterministic models has an important role to play in understanding the fundamental mechanisms behind social sci ence phenomena. The reach of such analysis extends far beyond tech nical clarifications of classical theories that were generally expressed in imprecise literary prose. The inherent lack of precise knowledge in the social sciences is a fun damental trait that must be distinguished from 'uncertainty. ' For in stance, in mathematically modelling the stock market, uncertainty is a prime and indispensable component of a model. Indeed, in the stock market, the rules are specifically designed to make prediction impossible or at least very difficult. On the other hand, understanding concepts such as the 'business cycle' involves economic and social mechanisms that are very different from the rules of the stock market. Here, far from seeking unpredictability, the intention of the modeller is a scientific one, i. e. Codice articolo 9781402011160
Quantità: 1 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 777. Codice articolo C9781402011160
Quantità: Più di 20 disponibili
Da: Mispah books, Redhill, SURRE, Regno Unito
Hardcover. Condizione: Like New. Like New. book. Codice articolo ERICA77314020111646
Quantità: 1 disponibili