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.
Lawrence Cavedon is a lecturer at the computer science department in the Royal Melbourne Institute of Technology and senior computer scientist at Advanced Products and Strategy Group, VerticalNet, Inc. Patrick Blackburn is a lecturer at the department of computational linguistics in the University of Saarland. Nick Braisby is a lecturer in cognitive psychology at the Department of Psychology in The Open University. Atsushi Shimojima is associate professor at the School of Knowledge Science in the Japan Advanced Institute of Science and Technology.
