Computational logic (Plus de 1 000 résultats)

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Paperback. Etat : Very Good. Paperback in very good condition. From the offices of Bell Northern Europe. Lecture Notes in Computer Science; 713. Minor shelfwear to the cover. Label on inside front cover; stamp on half title page. The binding is sound with clear content throughout. CM. Used.

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23 x 16 cm. Etat : Gut. 1. Edition. 190 Seiten ; Mit Figuren und Tabellen conceptus-studien 13 - Innen mit wenigen Bleistiftanstreichungen, sauberer, guter Zustand. Softcover, Broschur mit den üblichen Bibliotheks-Markierungen, Stempeln und Einträgen, innen wie außen, siehe Bilder. (Evtl. auch Kleber- und/oder Etikettenreste, sowie -abdrücke durch abgelöste Bibliotheksschilder). Einband sehr gut erhalten. In Englisch B14-03-06H|S43 Sprache: Englisch Gewicht in Gramm: 290.…

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Paperback. Etat : Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments. Except for library markings, interior clean and unmarked. Tight binding.

Paperback. Etat : Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments.

Broschiert. Etat : Gut. 1. Auflage.. 308 Seiten, Buch gut erhalten, Einband berieben. Ehemaliges Bibliotheksexemplar mit üblichen Stempelungen, Aufklebern und/oder Einträgen sowie foliertem Einband. Aufkleberreste auf der unteren Hälfte des Buches. Auf Titelei Namenseintrag. ISBN: 9781904987567 Der Versand ins Ausland ist gegen Zahlung der Portokosten möglich. Bitte nehmen Sie Kontakt mit uns auf. Sprache: Englisch Gewicht in Gramm: 520.…

Etat : New. In English.

Paperback. , . Author: Samuel J. Gershman Format: Paperback Number of Pages: 224 How a computational framework can account for the successes and failures of human cognition At the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimised for efficient inference and decision making within the constraints of time, energy, and memory - in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the 'stupid' errors of human cognition. Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors. Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition. Paperback.…