In this paper, I present and defend an explication of content in terms of the mathematical notion of information. In its most general formulation, the theory says that two states have the same content just in case they carry the same information, relative to a communication network. My account reifies content (it is the discrete counterpart to continuous information) and supports the idea that agents have internal means of comparing the contents of two thoughts. Further, it makes sense to say (...) that agents have communicated successfully when they coordinate on content in this sense; they have transmitted information without loss. (shrink)

Interdisciplinary investigations marry the methods and concerns of different fields. Computer science is the study of precise descriptions of finite processes; semantics is the study of meaning in language. Thus, computational semantics embraces any project that approaches the phenomenon of meaning by way of tasks that can be performed by following definite sets of mechanical instructions. So understood, computational semantics revels in applying semantics, by creating intelligent devices whose broader behavior fits the meanings of utterances, and not just their form. (...) IBM’s Watson (Ferrucci, Brown, Chu-Carroll, Fan, Gondek, Kalyanpur, Lally, Murdock, Nyberg, Prager, Schlaefer & Welty 2010) is a harbinger of the excitement and potential of this technology. (shrink)