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AGENTS
1998
Springer
15 years 10 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
HICSS
2002
IEEE
92views Biometrics» more  HICSS 2002»
15 years 11 months ago
Student Model of Historical Text Comprehension
: In this contribution we present a Learner Model (LM) of Historical Text Comprehension (HTC), which infers the cognitive profile of learner’s global comprehension concerning the...
Grammatiki Tsaganou, Maria Grigoriadou, Theodora C...
AIED
2005
Springer
15 years 11 months ago
Goal Transition Model and Its Application for Supporting Teachers based on Ontologies
In Japan, the “Period of Integrated Study” program to enhance practical skills began in elementary and secondary education in 2002. Most goals of this program involve meta-abil...
Toshinobu Kasai, Haruhisa Yamaguchi, Kazuo Nagano,...
IJCAI
1989
15 years 7 months ago
An Adaptive Model of Decision-Making in Planning
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
Gregg Collins, Lawrence Birnbaum, Bruce Krulwich
ITCC
2005
IEEE
15 years 11 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...