Associative Networks: Representation and Use of Knowledge by ComputersNicholas V. Findler Academic Press, 10.05.2014 - 480 Seiten Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence. |
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algorithm arcs argument Artificial Intelligence assertions AUTH basic behavioral tags BLACKBART Bobrow CD form Cercone clause cluster Computer Science concepts conceptual dependency Conference on Artificial context data base deduction defined Department of Computer described DESTRY DISPUTE domain encoded entity example expressions formalism formula function goal grammar Hendrix Horn clauses inference rules inheritance input interaction International Joint Conference IS-A John John loves Mary knowledge knowledge representation labeled logical mantic Mary matching meaning memory metaclass natural language node notation objects parsing pattern primitive problem procedures programs properties propositions pseudotext quantified Quillian reference relations relationships representation represented retrieval role Schank Schubert script Section semantic category semantic information semantic memory semantic nets semantic network sense sentence SNePS social acts space specified story trees subset supernode template tion triangle understanding universally quantified variables verb Wilks word sense