Formal Theories of Information From Shannon to Semantic Information Theory and General Concepts of Information /
Formal Theories of Information From Shannon to Semantic Information Theory and General Concepts of Information / [electronic resource] :
edited by Giovanni Sommaruga.
- 1st ed. 2009.
- VII, 269 p. online resource.
- Theoretical Computer Science and General Issues, 5363 2512-2029 ; .
- Theoretical Computer Science and General Issues, 5363 .
Philosophical Reflections -- Philosophical Conceptions of Information -- The Syntactical Approach -- Information Theory, Relative Entropy and Statistics -- Information: The Algorithmic Paradigm -- The Semantical Approach -- Information Algebra -- Uncertain Information -- Comparing Questions and Answers: A Bit of Logic, a Bit of Language, and Some Bits of Information -- Channels: From Logic to Probability -- Beyond the Semantical Approach -- Modeling Real Reasoning -- Philosophical Conclusions -- One or Many Concepts of Information?.
This book presents the scientific outcome of a joint effort of the computer science departments of the universities of Berne, Fribourg and Neuchâtel. Within an initiative devoted to "Information and Knowledge", these research groups collaborated over several years on issues of logic, probability, inference, and deduction. The goal of this volume is to examine whether there is any common ground between the different approaches to the concept of information. The structure of this book could be represented by a circular model, with an innermost syntactical circle, comprising statistical and algorithmic approaches; a second, larger circle, the semantical one, in which "meaning" enters the stage; and finally an outermost circle, the pragmatic one, casting light on real-life logical reasoning. These articles are complemented by two philosophical contributions exploring the wide conceptual field as well as taking stock of the articles on the various formal theories of information.
9783642006593
10.1007/978-3-642-00659-3 doi
Coding theory.
Information theory.
Mathematics.
Compilers (Computer programs).
Machine theory.
Computer science--Mathematics.
Discrete mathematics.
Computer science.
Coding and Information Theory.
Mathematics.
Compilers and Interpreters.
Formal Languages and Automata Theory.
Discrete Mathematics in Computer Science.
Theory of Computation.
QA268 Q350-390
003.54
Philosophical Reflections -- Philosophical Conceptions of Information -- The Syntactical Approach -- Information Theory, Relative Entropy and Statistics -- Information: The Algorithmic Paradigm -- The Semantical Approach -- Information Algebra -- Uncertain Information -- Comparing Questions and Answers: A Bit of Logic, a Bit of Language, and Some Bits of Information -- Channels: From Logic to Probability -- Beyond the Semantical Approach -- Modeling Real Reasoning -- Philosophical Conclusions -- One or Many Concepts of Information?.
This book presents the scientific outcome of a joint effort of the computer science departments of the universities of Berne, Fribourg and Neuchâtel. Within an initiative devoted to "Information and Knowledge", these research groups collaborated over several years on issues of logic, probability, inference, and deduction. The goal of this volume is to examine whether there is any common ground between the different approaches to the concept of information. The structure of this book could be represented by a circular model, with an innermost syntactical circle, comprising statistical and algorithmic approaches; a second, larger circle, the semantical one, in which "meaning" enters the stage; and finally an outermost circle, the pragmatic one, casting light on real-life logical reasoning. These articles are complemented by two philosophical contributions exploring the wide conceptual field as well as taking stock of the articles on the various formal theories of information.
9783642006593
10.1007/978-3-642-00659-3 doi
Coding theory.
Information theory.
Mathematics.
Compilers (Computer programs).
Machine theory.
Computer science--Mathematics.
Discrete mathematics.
Computer science.
Coding and Information Theory.
Mathematics.
Compilers and Interpreters.
Formal Languages and Automata Theory.
Discrete Mathematics in Computer Science.
Theory of Computation.
QA268 Q350-390
003.54