Claude E. Shannon (1916–2001)
Author of The Mathematical Theory of Communication
About the Author
Image credit: Claude Shannon's clever electromechanical mouse, which he called Theseus, was one of the earliest attempts to "teach" a machine to "learn" and one of the first experiments in artificial intelligence. Both photos taken from http://www.bell-labs.com/news/2001/february/26/1.html)
Works by Claude E. Shannon
Associated Works
Tagged
Common Knowledge
- Canonical name
- Shannon, Claude E.
- Legal name
- Shannon, Claude Elwood
- Other names
- Shannon, Claude
- Birthdate
- 1916-04-30
- Date of death
- 2001-02-24
- Gender
- male
- Education
- University of Michigan (BS | Electrical Engineering and Mathematics | 1936)
Massachusetts Institute of Technology (PhD | Mathematics | 1940) - Occupations
- mathematician
engineer
professor - Organizations
- Institute for Advanced Study (Research fellow, 1940-)
Bell Labs (1941-)
Massachusetts Institute of Technology (Professor, 1956-1978) - Awards and honors
- John Fritz Medal (1983)
Alfred Noble Prize (1939)
Honorary Doctorate (various)
National Medal of Science (Engineering ∙ 1966)
Golden Plate Award (American Academy of Achievement, 1967)
Kyoto Prize (1985) (show all 7)
National Inventors Hall of Fame (2004) - Relationships
- Barzman, Norma (former spouse)
- Nationality
- USA
- Birthplace
- Petoskey, Michigan, USA
- Places of residence
- Petoskey, Michigan, USA (birth)
Gaylord, Michigan, USA (1916-1932)
Winchester, Massachusetts, USA - Place of death
- Medford, Massachusetts, USA
- Associated Place (for map)
- USA
Members
Reviews
I've read this book a long time ago, primarily to understand better complex adaptive systems in light of social interaction information processing. The models contained herein may be applied sufficiently in theories on how information is reaching "liminal crititical thresholds" in a cognitive setting, depending on how the message is distributed. It is useful also in media studies, cognitive science, neural networks, general semantics, NLP and day-to-day "raw" communication, to see how the show more signal loaded with a message interacts with a given audience and what is the probability that a given piece of information will influence a given group or individual, or the message will be "voided" either by cognitive resilience, critical inspection, detachment, flood of other messages, conflicting info (cognitive dissonance), information deflation (as in information treated as a tool of "small-talk" interaction with no rhetorical influence whatsoever, as in modern day social networking sites). Excellent read. show less
L'inizio della teoria dell'informazione
Sono pochi i testi che possono definirsi seminali. Sicuramente quello di Shannon sulla teoria dell'informazione (o "della comunicazione", come la chiama lui) è uno di questi: la teoria nasce praticamente completa, e lascia solo (si fa per dire...) da cercare di metterla in pratica. La parte sui segnali continui rimane più datata, forse anche perché ormai usiamo quasi sempre canali digitali; in compenso quella sui segnali discreti si può direttamente show more usare ancora oggi. In questo libro viene lasciata come introduzione il testo che Weaver scrisse per mostrare al grande pubblico l'importanza della teoria. Un'utile complemento, insomma. show less
Sono pochi i testi che possono definirsi seminali. Sicuramente quello di Shannon sulla teoria dell'informazione (o "della comunicazione", come la chiama lui) è uno di questi: la teoria nasce praticamente completa, e lascia solo (si fa per dire...) da cercare di metterla in pratica. La parte sui segnali continui rimane più datata, forse anche perché ormai usiamo quasi sempre canali digitali; in compenso quella sui segnali discreti si può direttamente show more usare ancora oggi. In questo libro viene lasciata come introduzione il testo che Weaver scrisse per mostrare al grande pubblico l'importanza della teoria. Un'utile complemento, insomma. show less
I've read this book a long time ago, primarily to understand better complex adaptive systems in light of social interaction information processing. The models contained herein may be applied sufficiently in theories on how information is reaching "liminal crititical thresholds" in a cognitive setting, depending on how the message is distributed. It is useful also in media studies, cognitive science, neural networks, general semantics, NLP and day-to-day "raw" communication, to see how the show more signal loaded with a message interacts with a given audience and what is the probability that a given piece of information will influence a given group or individual, or the message will be "voided" either by cognitive resilience, critical inspection, detachment, flood of other messages, conflicting info (cognitive dissonance), information deflation (as in information treated as a tool of "small-talk" interaction with no rhetorical influence whatsoever, as in modern day social networking sites). Excellent read. show less
As another reviewer pointed out, this is arguably the most influential scientific work of the 20th century. As the human experience becomes more (obviously) about information with the measurability that digital information affords, I think there's a decent chance that history will come to view Shannon in a similar light as the Einstein's and other great physical scientists.
The experience of reading this book is incredible - it's one truly deep, fundamental insight after another, all show more expressed in perfectly efficient mathematical formalism. It's just so elegant. show less
The experience of reading this book is incredible - it's one truly deep, fundamental insight after another, all show more expressed in perfectly efficient mathematical formalism. It's just so elegant. show less
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- 9
- Also by
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- 656
- Popularity
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- Rating
- 4.2
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- ISBNs
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