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AI
1998
Springer
13 years 10 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
AMI
2008
Springer
14 years 11 days ago
An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task Progress
For an ambient intelligent agent to support a human in demanding tasks it is important to be aware of the progress made in a given workflow. It would be possible to interact with t...
Fiemke Both, Mark Hoogendoorn, Jan Treur
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 2 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
ATAL
2005
Springer
14 years 3 months ago
TACOP: a cognitive agent for a naval training simulation environment
This paper describes how cognitive modeling can be exploited in the design of software agents that support naval training sessions. The architecture, specifications, and embedding...
Willem A. van Doesburg, Annerieke Heuvelink, Egon ...
ESWA
2007
208views more  ESWA 2007»
13 years 10 months ago
Adaptive and intelligent web based education system: Towards an integral architecture and framework
In this paper it is presented our contribution for carrying out adaptive and intelligent Web-based Education Systems (WBES) that take into account the individual student learning ...
Alejandro Canales Cruz, Alejandro Peña Ayal...