Current Trends in SNePS - Semantic Network Processing System

SNePS is a state-of-the-art knowledge representation and reasoning system used for artificial intelligence and cognitive science research. It is a semantic network based system designed by the members of the SNePS Research Group. The First Annual SNePS Workshop was held on November 13, 1989, at the State University of New York at Buffalo. The aims of the workshop were to bring together researchers in AI working with or interested in SNePS. Twelve papers were presented by people from seven different research sites in the United States and abroad. The papers are of top quality and cover areas of ongoing research displaying the versatility of SNePS as an AI research tool. This volume contains all twelve papers.

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Recent advances and developments: The SNePS 2.1 report.- Path-based inference revisited.- Expanding SNePS capabilities with LORE.- Order dependence of declarative knowledge representation.- An integrated model of acting and inference.- The structure of agency: Issues in the representation of agency and action.- Combining linguistic and pictorial information: Using captions to interpret newspaper photographs.- Knowledge based lexicons.- Representing fiction in SNePS.- Kinds of opacity and their representations.- Design of an emotion profiler using SNePS.- Implications of natural categories for natural language generation.