Exploring Logical Perspectives on Distributed Information and its Dynamics Floris Roelofsen Abstract: This thesis is divided into two parts. Each part explores a particular logical perspective on distributed information and its dynamics. The first part takes the perspective of epistemic and dynamic epistemic logic. We first explain why distributed knowledge does not always comply with the principle of full communication, as observed by van der Hoek, van Linder, and Meyer and Gerbrandy, and give a complete characterization of the class of models in which distributed knowledge does comply with the principle of full communication. Then, we address an issue raised by van Benthem: is there a natural extended notion of bisimulation that matches the expressive power of distributed knowledge operators in epistemic logic. Next, we show that distributed knowledge operators (or more generally, intersection modalities) can be incorporated into the logic of communication and change, recently proposed by van Benthem, van Eijck, and Kooi. At last, we discuss a more conceptual point. Distributed knowledge is what can be established by a group of agents through a particular kind of communication: everyone writes down everything he knows, all that is put together, and what follows from the accumulated facts is distributed knowledge. Other, arguably more interactive kinds of communication may be considered as well. Van Benthem, for example, is interested in the information that can be established by a group of agents through public announcements. We discuss the information that can be established by a group of agents given a certain communication network. The second part of the thesis takes the perspective of multi-context systems. These systems describe the distribution and flow of information among a number of contexts (people, databases, etc.). We provide a simplified semantics for the basic systems and define generalizations of this semantics for various extended systems. Keywords: Distributed Information, Epistemic Logic, Dynamic Epistemic Logic, Multi-Context Systems