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Record Nr. |
UNINA9910782289703321 |
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Titolo |
Better than conscious? : decision making, the human mind, and implications for institutions / / edited by Christoph Engel and Wolf Singer ; program advisory committee: Christoph Engel [and others] |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, 2008 |
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©2008 |
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ISBN |
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0-262-27235-0 |
1-4356-5189-8 |
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Descrizione fisica |
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1 online resource (464 p.) |
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Collana |
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Strüngmann Forum reports |
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Altri autori (Persone) |
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EngelChristoph <1956-> |
SingerW (Wolf) |
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Disciplina |
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Soggetti |
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Decision making - Physiological aspects |
Decision making - Social aspects |
Cognitive neuroscience |
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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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Forum held June 10-15, 2007 in Frankfurt, Germany. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Better than conscious?: the brain, the psyche, behavior, and institutions / Christoph Engel and Wolf Singer -- Conscious and nonconscious processes: distinct forms of evidence accumulation? / Stanislas Dehaene -- The role of value systems in decision making / Peter Dayan -- Neurobiology of decision making: an intentional framework / Michael N. Shadlen ... [et al.] -- Brain signatures of social decision making / Kevin McCabe and Tania Singer -- Neuronal correlates of decision making / Michael Platt ... [et al.] -- The evolution of implicit and explicit decision making / Robert Kurzban -- Passive parallel automatic minimalist processing / Roger Ratcliff and Gail McKoon -- How culture and brain mechanisms interact in decision making / Merlin Donald -- Marr, memory, and heuristics / Lael J. Schooler -- Explicit and implicit strategies in decision making / Christian Keysers ... [et al.] -- How evolution outwits bounded rationality: the efficient interaction of automatic and deliberate processes in decision making and implications for institutions / Andreas Glöckner -- The evolutionary biology of decision making / Jeffrey R. Stevens -- Gene culture |
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coevolution and the evolution of social institutions / Robert Boyd and Peter J. Richerson -- Individual decision making and the evolutionary roots of institutions / Richard McElreath ... [et al.] -- The neurobiology of individual decision making, dualism, and legal accountability / Paul W. Glimcher -- Conscious and nonconscious cognitive processes in jurors' decisions / Reid Hastie -- Institutions for intuitive man / Christoph Engel -- Institutional design capitalizing on the intuitive nature of decision making / Mark Lubell ... [et al.]. |
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Sommario/riassunto |
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Experts discuss the implications of the ways humans reach decisions through the conscious and subconscious processing of information. Conscious control enables human decision makers to override routines, to exercise willpower, to find innovative solutions, to learn by instruction, to decide collectively, and to justify their choices. These and many more advantages, however, come at a price: the ability to process information consciously is severely limited and conscious decision makers are liable to hundreds of biases. Measured against the norms of rational choice theory, conscious decision makers perform poorly. But if people forego conscious control, in appropriate tasks, they perform surprisingly better: they handle vast amounts of information; they update prior information; they find appropriate solutions to ill-defined problems. This inaugural Strungmann Forum Report explores the human ability to make decisions, consciously as well as without conscious control. It explores decision-making strategies, including deliberate and intuitive; explicit and implicit; processing information serially and in parallel, with a general-purpose apparatus, or with task-specific neural subsystems. The analysis is at four levels--neural, psychological, evolutionary, and institutional--and the discussion is extended to the definition of social problems and the design of better institutional interventions. The results presented differ greatly from what could be expected under standard rational choice theory and deviate even more from the alternate behavioral view of institutions. New challenges emerge (for example, the issue of free will) and some purported social problems almost disappear if one adopts a more adequate model of human decision making. |
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2. |
Record Nr. |
UNISA996636772303316 |
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Titolo |
Advanced Data Mining and Applications : 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part VI / / edited by Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (398 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15392 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Application software |
Computer systems |
Education - Data processing |
Computer vision |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Computer and Information Systems Applications |
Computer System Implementation |
Computers and Education |
Computer Vision |
Mineria de dades |
Congressos |
Llibres electrònics |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South |
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Wales, Australia, during December 3–5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I : Applications; Data mining. Part II : Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III : Graph mining; Spatial data mining. Part IV : Health informatics. Part V : Multi-modal; Natural language processing. Part VI : Recommendation systems; Security and privacy issues. . |
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