The practical task of building a talking robot requires a theory
of how natural language communication works. Conversely, the best
way to computationally verify a theory of natural language
communication is to demonstrate its functioning concretely in the
form of a talking robot, the epitome of human-machine
communication. To build an actual robot requires hardware that
provides appropriate recognition and action interfaces, and because
such hardware is hard to develop the approach in this book is
theoretical: the author presents an artificial cognitive agent with
language as a software system called database semantics (DBS).
Because a theoretical approach does not have to deal with the
technical difficulties of hardware engineering there is no reason
to simplify the system - instead the software components of DBS aim
at completeness of function and of data coverage in word form
recognition, syntactic-semantic interpretation and inferencing,
leaving the procedural implementation of elementary concepts for
later.
In this book the author first examines the universals of natural
language and explains the Database Semantics approach. Then in Part
I he examines the following natural language communication issues:
using external surfaces; the cycle of natural language
communication; memory structure; autonomous control; and learning.
In Part II he analyzes the coding of content according to the
aspects: semantic relations of structure; simultaneous amalgamation
of content; graph-theoretical considerations; computing perspective
in dialogue; and computing perspective in text. The book ends with
a concluding chapter, a bibliography and an index.
The book will be of value to researchers, graduate students and
engineers in the areas of artificial intelligence and robotics, in
particular those who deal with natural language processing.
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