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» An Adaptive Agent Based Economic Model
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JPDC
2006
106views more  JPDC 2006»
13 years 7 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn
IEEECIT
2006
IEEE
14 years 1 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si
AAAI
2008
13 years 10 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
KES
2005
Springer
14 years 1 months ago
Learning Within the BDI Framework: An Empirical Analysis
One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do n...
Toan Phung, Michael Winikoff, Lin Padgham
ENGL
2007
141views more  ENGL 2007»
13 years 7 months ago
A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
Sukumar Kamalasadan