With the rise of the internet and the proliferation of technology to gather and organize data, our era has been defined as "the information age." With the prominence of information as a research concept, there has arisen an increasing appreciation of the intertwined nature of fields such as logic, linguistics, and computer science that answer the questions about information and the ways it can be processed. The many research traditions do not agree about the exact nature of information. By bringing together ideas from diverse perspectives, this book presents the emerging consensus about what a conclusive theory of information should be. The book provides an introduction to the topic, work on the underlying ideas, and technical research that pins down the richer notions of information from a mathematical point of view. The book contains contributions to a general theory of information, while also tackling specific problems from artificial intelligence, formal semantics, cognitive psychology, and the philosophy of mind. There is focus on the dynamics of information flow, and also a consideration of static approaches to information content; both quantitative and qualitative approaches are represented.

1. Epistemic Utility in Commonsense Reasoning 2. Conceptual Covers in Dynamic Semantics 3. Characterization Results for d-Horn Formulas 4. A Glimpse into Algorithmic Information Theory 5. Information States, Attitudes and Dependent Record Types 6. The Semantics of Dynamic Congunction 7. Concept Combination: A Geometrical Model 8. Identity in Epistemic Semantics 9. An Implicit Argument Analysis of Japanese Zeros 10. A Situation Semantic Account of Topic vs. Nominative Marking 11. Belief and the Epistemic Channel 12. Functions, Representations, and Zombies 13. Aspect Analysis in Arrow Logic 14. Logical Constructions Suggested by Vision 15. Information in Discourse: A Game for Many Agents 16. How to Recover From (Non) Monotonic Inconsistencies

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