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TEC
2008
165views more  TEC 2008»
15 years 6 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
CLEIEJ
2007
192views more  CLEIEJ 2007»
15 years 6 months ago
ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)
This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (C...
Rosa M. Viccari, Demetrio A. Ovalle, Jovani A. Jim...
ISMAR
2009
IEEE
16 years 1 months ago
Real-time in-situ visual feedback of task performance in mixed environments for learning joint psychomotor-cognitive tasks
This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill s...
Aaron Kotranza, D. Scott Lind, Carla M. Pugh, Benj...
AIED
2009
Springer
16 years 1 months ago
Using Task-Based Modeling to Generate Scaffolding in Narrative-Guided Exploratory Learning Environments
Abstract. A description of a novel domain-independent framework that automatically generates and fades scaffolding supports for task-oriented learning within exploratory environmen...
James M. Thomas, R. Michael Young
IAT
2005
IEEE
16 years 3 days ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao