Channels: From Logic to Probability

Authors:
Jeremy Seligman
Affiliations:
Philosophy Department, The University of Auckland, New Zealand
Venue:
Formal Theories of Information
Year:
2009

Citing 5
Cited 0

Institutions: abstract model theory for specification and programming

Journal of the ACM (JACM)
Information flow: the logic of distributed systems

Information flow: the logic of distributed systems
Information Algebras: Generic Structures for Inference

Information Algebras: Generic Structures for Inference
A Mathematical Theory of Communication

A Mathematical Theory of Communication
Dynamic Epistemic Logic

Dynamic Epistemic Logic

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Abstract

Information arises in conditions of uncertainty. When we are unsure of what has happened, our uncertainty is reduced by gaining information. Central to any mathematical model of information is the representation of a state of uncertainty and the change of state brought about by the acquisition of a new piece of information.