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» The use of agents in human learning systems
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TSMC
2008
229views more  TSMC 2008»
15 years 6 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
AAMAS
2012
Springer
14 years 2 months ago
Using argumentation to model agent decision making in economic experiments
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...
AIED
2005
Springer
16 years 2 days ago
Teaching about Dynamic Processes A Teachable Agents Approach
This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...
Ruchi Gupta, Yanna Wu, Gautam Biswas
AAAI
2007
15 years 8 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
AGENTS
2001
Springer
15 years 11 months ago
A fuzzy model of reputation in multi-agent systems
Agents are intended to interact in open systems where the knowledge about others (reputation) is incomplete and uncertain. Also, this knowledge about other agents is subjective si...
Javier Carbo Rubiera, José M. Molina L&oacu...