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MANSCI
2011
14 years 11 months ago
Generating Ambiguity in the Laboratory
This article develops a method for drawing samples from which it is impossible to infer any quantile or moment of the underlying distribution. The method provides researchers with...
Jack Stecher, Timothy Shields, John Dickhaut
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 10 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
NIPS
2008
15 years 6 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
AAAI
1993
15 years 6 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
JFR
2006
108views more  JFR 2006»
15 years 4 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...