UID:
almafu_9960117598202883
Umfang:
1 online resource (xxii, 494 pages) :
,
digital, PDF file(s).
Ausgabe:
First edition.
ISBN:
1-108-11622-1
,
1-108-11686-8
,
1-316-58420-8
Inhalt:
Recent advances suggest that the concept of information might hold the key to unravelling the mystery of life's nature and origin. Fresh insights from a broad and authoritative range of articulate and respected experts focus on the transition from matter to life, and hence reconcile the deep conceptual schism between the way we describe physical and biological systems. A unique cross-disciplinary perspective, drawing on expertise from philosophy, biology, chemistry, physics, and cognitive and social sciences, provides a new way to look at the deepest questions of our existence. This book addresses the role of information in life, and how it can make a difference to what we know about the world. Students, researchers, and all those interested in what life is and how it began will gain insights into the nature of life and its origins that touch on nearly every domain of science.
Anmerkung:
Title from publisher's bibliographic system (viewed on 20 Mar 2017).
,
The "hard problem" of life -- Beyond initial conditions and laws of motion : constructor theory of information and life -- (How) did information emerge? -- On the emerging codes for chemical evolution -- Digital and analogue information in organisms -- From entropy to information : biased typewriters and the origin of life -- Cryptographic nature -- Noise and function -- The many faces of state space compression -- Causality, information, and biological computation : an algorithmic software approach to life, disease, and the immune system -- Life's information hierarchy -- Living through downward causation : from molecules to ecosystems -- Automata and animats : from dynamics to cause-effect structures -- Biological information, causality, and specificity : an intimate relationship -- Major transitions in political order -- Bits from brains : analyzing distributed computation in neural systems -- Machine learning and the questions it raises.
Weitere Ausg.:
ISBN 1-107-15053-1
Sprache:
Englisch
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