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.
Author(s): Stuart C. Shapiro, João P. Martins (auth.), D. Kumar (eds.)
Series: Lecture Notes in Computer Science 437
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1990
Language: English
Pages: 166
Tags: Artificial Intelligence (incl. Robotics)
Recent advances and developments: The SNePS 2.1 report....Pages 1-13
Path-based inference revisited....Pages 15-26
Expanding SNePS capabilities with LORE....Pages 27-39
Order dependence of declarative knowledge representation....Pages 41-54
An integrated model of acting and inference....Pages 55-65
The structure of agency: Issues in the representation of agency and action....Pages 67-84
Combining linguistic and pictorial information: Using captions to interpret newspaper photographs....Pages 85-96
Knowledge based lexicons....Pages 97-106
Representing fiction in SNePS....Pages 107-121
Kinds of opacity and their representations....Pages 123-144
Design of an emotion profiler using SNePS....Pages 145-152
Implications of natural categories for natural language generation....Pages 153-162
