Sciweavers

AAAI
1993
14 years 1 months ago
Numeric Reasoning with Relative Orders of Magnitude
In [Dague, 1993], a formal system ROM(K) involving four relations has been defined to reason with relative orders of magnitude. In this paper, problems of introducing quantitative...
Philippe Dague
AAAI
1994
14 years 1 months ago
Reasoning about Priorities in Default Logic
In this paper we argue that for realistic applications involving default reasoning it is necessary to reason about the priorities of defaults. Existing approaches require the know...
Gerhard Brewka
AAAI
1996
14 years 1 months ago
Spatial Aggregation: Language and Applications
This paper describes the spatial aggregation language and its applications. Spatial aggregation comprises a framework and a mechanism for organizing computations around image-like...
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
AAAI
1996
14 years 1 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
AAAI
1994
14 years 1 months ago
An Implemented Model of Punning Riddles
Kim Binsted, Graeme Ritchie
AAAI
1996
14 years 1 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
AAAI
1996
14 years 1 months ago
Planning for Temporally Extended Goals
Fahiem Bacchus, Froduald Kabanza
AAAI
1996
14 years 1 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
AAAI
1996
14 years 1 months ago
Improving Case Retrieval by Remembering Questions
This paper discusses techniques that improve the performance of a case retrieval system, after it is deployed, as a result of the continued usage of the system, by remembering pre...
Richard Alterman, Daniel Griffin