Signals: Evolution, Learning, and Information by Brian SkyrmsSignals: Evolution, Learning, and Information by Brian Skyrms

Signals: Evolution, Learning, and Information

byBrian Skyrms

Paperback | May 9, 2010

Pricing and Purchase Info

$33.95

Earn 170 plum® points
Quantity:

Ships within 1-3 weeks

Ships free on orders over $25

Not available in stores

about

Brian Skyrms presents a fascinating exploration of how fundamental signals are to our world. He uses a variety of tools -- theories of signaling games, information, evolution, and learning -- to investigate how meaning and communication develop. He shows how signaling games themselves evolve,and introduces a new model of learning with invention. The juxtaposition of atomic signals leads to complex signals, as the natural product of gradual process. Signals operate in networks of senders and receivers at all levels of life. Information is transmitted, but it is also processed in variousways. That is how we think -- signals run around a very complicated signaling network. Signaling is a key ingredient in the evolution of teamwork, in the human but also in the animal world, even in micro-organisms. Communication and co-ordination of action are different aspects of the flow ofinformation, and are both effected by signals.
Brian Skyrms is a Distinguished Professor of Logic and Philosophy of Science at the University of California Irvine, and Professor of Philosophy at Stanford University.
Loading
Title:Signals: Evolution, Learning, and InformationFormat:PaperbackDimensions:160 pages, 7.99 × 5.31 × 0.03 inPublished:May 9, 2010Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199582947

ISBN - 13:9780199582945

Reviews

Table of Contents

Introduction1. Signals2. Signals in Nature3. The Flow of Information4. Evolution5. Evolution in Lewis Signaling Games6. Deception7. Learning8. Learning in Lewis Signaling Games9. Generalizing Signaling Games: Synonyms, Bottlenecks and Other Mismatches10. Inventing New Signals11. Networks I: Information Processing12. Complex Signals and Compositionality13. Networks II: Teamwork14. Learning to Network