Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbours and non-neighbours (under certain well-defined conditions of homogeneity) to predict language behaviour. This book provides a basic introduction to AM, compares the theory with nearest-neighbour approaches, and discusses the most recent advances in the theory, including psycholinguistic evidence, applications to specific languages, the problem of categorization, and how AM relates to alternative approaches of language description (such as instance families, neural nets, connectionism, and optimality theory).