Thinking as ComputationA First Course
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Zusammenfassungen
This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects in visual scenes, planning courses of action, and playing strategic games.
The material is presented with minimal technicalities and is accessible to undergraduate students with no specialized knowledge or technical background beyond high school mathematics. Students use Prolog (without having to learn algorithms: "Prolog without tears!"), learning to express what they need as a Prolog program and letting Prolog search for answers. After an introduction to the basic concepts, Thinking as Computation offers three chapters on Prolog, covering back-chaining, programs and queries, and how to write the sorts of Prolog programs used in the book. The book follows this with case studies of tasks that appear to require thought, then looks beyond Prolog to consider learning, explaining, and propositional reasoning. Most of the chapters conclude with short bibliographic notes and exercises. The book is based on a popular course at the University of Toronto and can be used in a variety of classroom contexts, by students ranging from first-year liberal arts undergraduates to more technically advanced computer science students.
Von Klappentext im Buch Thinking as Computation (2012) The material is presented with minimal technicalities and is accessible to undergraduate students with no specialized knowledge or technical background beyond high school mathematics. Students use Prolog (without having to learn algorithms: "Prolog without tears!"), learning to express what they need as a Prolog program and letting Prolog search for answers. After an introduction to the basic concepts, Thinking as Computation offers three chapters on Prolog, covering back-chaining, programs and queries, and how to write the sorts of Prolog programs used in the book. The book follows this with case studies of tasks that appear to require thought, then looks beyond Prolog to consider learning, explaining, and propositional reasoning. Most of the chapters conclude with short bibliographic notes and exercises. The book is based on a popular course at the University of Toronto and can be used in a variety of classroom contexts, by students ranging from first-year liberal arts undergraduates to more technically advanced computer science students.
Dieses Buch erwähnt ...
Fragen KB IB clear | Ist Denken Symbolmanipulation?
Können Computer denken?Can computers think? |
Begriffe KB IB clear | Algorithmusalgorithm , Denkenthinking , Informatikcomputer science , Künstliche Intelligenz (KI / AI)artificial intelligence , Lernenlearning , Mathematikmathematics , Prolog (Programmiersprache) , Sprachelanguage |
Dieses Buch erwähnt vermutlich nicht ...
Nicht erwähnte Begriffe | Informatik-Didaktik, Informatik-Unterricht (Fachinformatik), Intelligenz |
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2 Erwähnungen
- Ansturm der Algorithmen - Die Verwechslung von Urteilskraft mit Berechenbarkeit (Wolf Zimmer) (2019)
Co-zitierte Bücher
(Markus Gabriel) (2018)
Volltext dieses Dokuments
Standorte
Bibliographisches
Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. (das er aber aus Urheberrechtsgründen nicht einfach weitergeben darf). Es gibt bisher nur wenige Objekte im Biblionetz, die dieses Werk zitieren.