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» The use of agents in human learning systems
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AAAI
1990
15 years 7 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
AAAI
2006
15 years 8 months ago
Building Explainable Artificial Intelligence Systems
As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of co...
Mark G. Core, H. Chad Lane, Michael van Lent, Dave...
JIRS
2000
133views more  JIRS 2000»
15 years 6 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
ICAC
2009
IEEE
15 years 4 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
WWW
2001
ACM
16 years 7 months ago
An intelligent distributed environment for active learning
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
Yi Shang, Hongchi Shi, Su-Shing Chen