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» Formal Action Semantics for a UML Action Language
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AIIDE
2006
13 years 9 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
RAS
2008
150views more  RAS 2008»
13 years 7 months ago
Logic-based robot control in highly dynamic domains
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
Alexander Ferrein, Gerhard Lakemeyer
AI
2009
Springer
14 years 2 months ago
Opinion Learning without Emotional Words
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
Marina Sokolova, Guy Lapalme
PEPM
2011
ACM
12 years 10 months ago
Adaptation-based programming in java
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
IFIP
2009
Springer
14 years 2 months ago
A Calculus of Trustworthy Ad Hoc Networks
We propose a process calculus for mobile ad hoc networks which embodies a behaviour-based multilevel decentralised trust model. Our trust model supports both direct trust, by monit...
Massimo Merro, Eleonora Sibilio