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» Agents that Learn to Explain Themselves
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DIS
1999
Springer
15 years 1 months ago
The Melting Pot of Automated Discovery: Principles for a New Science
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...
Jan M. Zytkow
AAAI
2004
14 years 11 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
MDM
2007
Springer
125views Communications» more  MDM 2007»
15 years 3 months ago
Extending P3P/Appel for Friend Finder
FriendFinder as a location-based service collects location data from mobile users and distributes a particular user’s location upon request. Privacy of users data especially loc...
Emin Islam Tatli
ATAL
2011
Springer
13 years 9 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
UM
2007
Springer
15 years 3 months ago
Evaluating a Simulated Student Using Real Students Data for Training and Testing
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...