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ICCS
1993
Springer
13 years 11 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
ML
2007
ACM
104views Machine Learning» more  ML 2007»
13 years 6 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
IWINAC
2005
Springer
14 years 25 days ago
Spatial navigation based on novelty mediated autobiographical memory
This paper presents a method for spatial navigation performed mainly on past experiences. The past experiences are remembered in their temporal context, i.e. as episodes of events....
Emilia I. Barakova, Tino Lourens
CA
1999
IEEE
13 years 11 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
JUCS
2008
180views more  JUCS 2008»
13 years 7 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek