Evolution of Semantic Systems [electronic resource] / edited by Bernd-Olaf Küppers, Udo Hahn, Stefan Artmann.

1st ed. 2013.
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Computer Science (Springer-11645)
1 online resource (XII, 232 pages)
Artificial intelligence.
Coding theory.
Information theory.
Computational linguistics.
Local subjects:
Artificial Intelligence. (search)
Models and Principles. (search)
Coding and Information Theory. (search)
Philosophy of Technology. (search)
Semantics. (search)
Computational Linguistics. (search)
System Details:
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Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems. With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, information and computer scientists. They do not follow a single research paradigm; rather they shed, in a complementary way, new light upon some of the most important aspects of the evolution of semantic systems. Evolution of Semantic Systems is intended for researchers in philosophy, computer science, and the natural sciences who work on the analysis or development of semantic systems, ontologies, or similar complex information structures. In the eleven chapters, they will find a broad discussion of topics ranging from underlying universal principles to representation and processing aspects to paradigmatic examples.
The Emergence of Reference
Pragmatism and the Evolution of Semantic Systems
System Surfaces - There Is Never Just Only One Structure
Elements of a Semantic Code
Talking about Structures
Toward a Theory of Information Structure
Mechanics and Mental Change
Semantic Technologies: A Computational Paradigm for Making Sense of Informal Meaning Structures
What are Ontologies good for?
Taxonomic Change as a Reflection of Progress in a Scientific Discipline
Crystallization as a Form of Scientific Semantic Change: The Case of Thermodynamics.
Küppers, Bernd-Olaf. editor., Editor,
Hahn, Udo. editor., Editor,
Artmann, Stefan. editor., Editor,
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10.1007/978-3-642-34997-3 doi
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