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[null,"1.","Record Nr.",null,"UNINA9910784728503321"]
[null,null,"Autore",null,"Rostow W. W (Walt Whitman), <1916-2003.>"]
[null,null,"Titolo",null,"Theorists of economic growth from David Hume to the present [[electronic resource] ] : with a perspective on the next century / / W.W. Rostow ; including a mathematical appendix by Michael Kennedy and the author"]
[null,null,"Pubbl/distr/stampa",null,"New York ; ; Oxford, : Oxford University Press, 1992"]
[null,null,"ISBN",null,"0-19-535979-8"]
[{"$nulls":4},"1-4294-0779-4"]
[null,null,"Descrizione fisica",null,"1 online resource (xx, 712 p. ) : ill"]
[null,null,"Disciplina",null,"338.9009"]
[null,null,"Soggetti",null,"Economists - History"]
[{"$nulls":4},"Economic development - History"]
[{"$nulls":4},"Industry"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Originally published: 1990."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction; Part I: Six classical economists: David Hume to Karl Marx; David Hume and Adam Smith; T. R. Malthus and David Ricardo; Growth theory moves to the periphery, 1870-1939; The setting; Alfred Marshall (1842-1924); Population and the working force; Investment and technology, Part One: The emergence of national income accounting; Investment and technology, Part Two: Growth theory; J. S. Mill and Karl Marx; Part Three: Growth analysis post-1945: A three ring circus: Introduction; Formal models of economic growth: Rise and subsidence; Statistical analyses of the structure of growth: from morphology to policy - almost; Development economics; Business cycles and growth: from Juglar to Keynes; Business cycles and growth: Keynes and after; Relative prices; Stages of and limits to growth; Part Four: Problems and prospects; Two concluding questions; What don't we know about economic growth; Where are we? An agenda in mid-passage; Appendix: Models of economic growth; Rostow's theory of economic growth; The A. Smith model revisited; A rich country-poor country model"]
[null,null,null,"Sommario/riassunto","This is a survey of the contributions made by modern economic theorists, from Adam Smith and David Hume to those of the present day."]
[null,"2.","Record Nr.",null,"UNINA9910136807703321"]
[null,null,"Autore",null,"Richard P. Heitz"]
[null,null,"Titolo",null,"Toward a Unified View of the Speed-Accuracy Trade-Off: Behaviour, Neurophysiology and Modelling"]
[null,null,"Pubbl/distr/stampa",null,"Frontiers Media SA, 2016"]
[null,null,"Descrizione fisica",null,"1 online resource (160 p.)"]
[null,null,"Collana",null,"Frontiers Research Topics"]
[null,null,"Soggetti",null,"Neurosciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Everyone is familiar with the speed-accuracy trade-off (SAT). To make good choices, we need to balance the conflicting demands of fast and accurate decision making. After all, hasty decisions often lead to poor choices, but accurate decisions may be useless if they take too long. This notion is intuitive because it reflects a fundamental aspect of cognition: not only do we deliberate over the evidence for decisions, but we can control that deliberative process. This control raises many questions for the study of choice behaviour and executive function. For example, how do we figure out the appropriate balance between speed and accuracy on a given task? How do we impose that balance on our decisions, and what is its neural basis? Researchers have addressed these and related questions for decades, using a variety of methods and offering answers at different levels of abstraction. Given this diverse methodology, our aim is to provide a unified view of the SAT. Extensive analysis of choice behaviour suggests that we make decisions by accumulating evidence until some criterion is reached. Thus, adjusting the criterion controls how long we accumulate evidence and therefore the speed and accuracy of decisions. This simple framework provides the platform for our unified view. In the pages that follow, leading experts in decision neuroscience consider the history of SAT research, strategies for determining the optimal balance between speed and accuracy, conditions under which this seemingly ubiquitous phenomenon breaks down, and the neural mechanisms that may implement the computations of our unifying framework."]