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Treating dialogue as a problem of inferring a speaker's intentions based on what is said, this book describes the architecture, the algorithms needed for fast real-time inference over very large networks, model parameter estimation and policy optimisation.

Speech is the most natural mode of communication and yet attempts to build systems which support robust habitable conversations between a human and a machine have so far had only limited success. A key reason is that current systems treat speech input as equivalent to a keyboard or mouse, and behaviour is controlled by predefined scripts that try to anticipate what the user will say and act accordingly. But speech recognisers make many errors and humans are not predictable; the result is systems which are difficult to design and fragile in use. Statistical methods for spoken dialogue...