Sciweavers

AAAI
1993
14 years 1 months ago
Automatically Constructing a Dictionary for Information Extraction Tasks
Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionar...
Ellen Riloff
AAAI
1996
14 years 1 months ago
Monitoring the Progress of Anytime Problem-Solving
Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. ...
Eric A. Hansen, Shlomo Zilberstein
AAAI
1996
14 years 1 months ago
A Counterexample to Theorems of Cox and Fine
Cox's well-known theorem justifying the use of probability is shown not to hold in nite domains. The counterexample also suggests that Cox's assumptions are insu cient t...
Joseph Y. Halpern
AAAI
1993
14 years 1 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
AAAI
1994
14 years 1 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
AAAI
1996
14 years 1 months ago
Comparing Agent Modeling For Language and Action
Wepresent our approach to agent modelingfor communication, and compareit to an approach to agent modelingfor other types of action. The comparisonshould be instructive since both ...
Nancy Green, Jill Lehman
AAAI
1993
14 years 1 months ago
The Semantics of Event Prevention
In planning tasks an agent may often find himself in a situation demanding that he choose an action that would prevent some unwanted event from occurring. Similarly, in tasks invo...
Charles L. Ortiz Jr.
AAAI
1996
14 years 1 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
AAAI
1994
14 years 1 months ago
An Experiment in the Design of Software Agents
We describe a bottom-up approach to the design of software agents. We built and tested an agent system that addresses the real-world problem of handling the activities involved in...
Henry A. Kautz, Bart Selman, Michael H. Coen, Stev...
AAAI
1993
14 years 1 months ago
Generating Quasi-symbolic Representation of Three-Dimensional Flow
Understanding flow in the three-dimensional phase space is challenging both to human experts and to current computer science technology. To break through the barrier, we are build...
Toyoaki Nishida