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SIGGRAPH
1995
ACM
13 years 8 months ago
Automated learning of muscle-actuated locomotion through control abstraction
Control Abstraction Radek Grzeszczuk and Demetri Terzopoulos Department of Computer Science, University of Toronto 1
Radek Grzeszczuk, Demetri Terzopoulos
AI50
2006
13 years 8 months ago
AI in Locomotion: Challenges and Perspectives of Underactuated Robots
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
Fumiya Iida, Rolf Pfeifer, André Seyfarth
ILP
2005
Springer
13 years 10 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
IJCNN
2008
IEEE
13 years 11 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
SDMW
2004
Springer
13 years 10 months ago
PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web
Abstract. Researchers have recently begun to develop and investigate policy languages to describe trust and security requirements on the Semantic Web. Such policies will be one com...
Wolfgang Nejdl, Daniel Olmedilla, Marianne Winslet...