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» Hierarchical Behavior Knowledge Space
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HT
2005
ACM
14 years 29 days ago
What is the space for?: the role of space in authoring hypertext representations
This paper describes our approach of using spatial hypertext as a means separated from an end representation for hypertext authoring. By taking advantage of the power of rich inte...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Yoshiyuki Nish...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
11 years 9 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
AINA
2007
IEEE
14 years 1 months ago
OWL-Based Context-Dependent Task Modeling and Deducing
In the near future, homes are envisioned to be equipped with numerous intelligent communicating devices. Such smart home needs to exhibit highly adaptive behavior to meet the inha...
Hongbo Ni, Xingshe Zhou, Zhiwen Yu, Kejian Miao
AGENTS
2001
Springer
13 years 12 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
IJAIT
2008
146views more  IJAIT 2008»
13 years 7 months ago
Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
Lutz Frommberger