This paper describes a knowledge representa-tion and reasoning system that performs a lim-ited but interesting class of inferences over a restricted class of first-order sentences with op-timal eticiency. The proposed system can an-swer yes-no as well as w/z-queries in time that is only proportional to the Zength of the short-est derivation of the query and is independent of the size of the knowledge base. This work suggests that the expressiveness and the infer-ential ability of a representation and reasoning systems may be limited in unusual ways to ar-rive at extremely efficient yet fairly powerful knowledge based systems
Efficient reasoning in large knowledge bases is an important problem for AI systems. Hand-optimizati...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
While there has been tremendous progress in automatic database population in recent years, most of h...
Knowledge Representation and Reasoning is the area of artificial intelligence that is concerned with...
Many tasks require "reasoning" --- i.e., deriving conclusions from a corpus of explicitly ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1986.Artificial Intelligence re...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
This paper introduces a system intended for question answering based on abductive inference. The sys...
This paper presents an effective method to encode function-free first-order Horn theories in proposi...
The complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an intelligen...
AbstractThe complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an in...
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1985.The problem of representin...
A knowledge representation system provides an important ser-vice to the rest of a knowledge-based sy...
Efficient reasoning in large knowledge bases is an important problem for AI systems. Hand-optimizat...
Efficient reasoning in large knowledge bases is an important problem for AI systems. Hand-optimizati...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
While there has been tremendous progress in automatic database population in recent years, most of h...
Knowledge Representation and Reasoning is the area of artificial intelligence that is concerned with...
Many tasks require "reasoning" --- i.e., deriving conclusions from a corpus of explicitly ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1986.Artificial Intelligence re...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
This paper introduces a system intended for question answering based on abductive inference. The sys...
This paper presents an effective method to encode function-free first-order Horn theories in proposi...
The complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an intelligen...
AbstractThe complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an in...
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and ...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1985.The problem of representin...
A knowledge representation system provides an important ser-vice to the rest of a knowledge-based sy...
Efficient reasoning in large knowledge bases is an important problem for AI systems. Hand-optimizat...
Efficient reasoning in large knowledge bases is an important problem for AI systems. Hand-optimizati...
This thesis deals with one important aspect of Artificial Intelligence, knowledge representation and...
While there has been tremendous progress in automatic database population in recent years, most of h...