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» Collaborative Agent Learning Using Neurocomputing
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ATAL
2011
Springer
12 years 7 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
ATAL
2004
Springer
14 years 1 months ago
Teaching and Working with Robots as a Collaboration
New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as ca...
Cynthia Breazeal, Guy Hoffman, Andrea Lockerd
WMTE
2006
IEEE
14 years 1 months ago
Entre-pass: Personalising u-learning with Intelligent Agents
Delivering learning materials anytime, anywhere is the goal underpinning the ubiquitous learning (u-learning) paradigm. Personalising u-learning courseware delivers a unique learn...
Brid C. Doherty, P. T. O'Hare, Michael J. O'Grady,...
EAAI
2006
78views more  EAAI 2006»
13 years 7 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...
AAAI
2007
13 years 10 months ago
Spatial Representation and Reasoning for Human-Robot Collaboration
How should a robot represent and reason about spatial information when it needs to collaborate effectively with a human? The form of spatial representation that is useful for robo...
William G. Kennedy, Magdalena D. Bugajska, Matthew...