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ICCBR
1999
Springer
15 years 11 months ago
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments
Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected bene ts of this l...
David B. Leake, David C. Wilson
ROBOCUP
1998
Springer
156views Robotics» more  ROBOCUP 1998»
15 years 11 months ago
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
Eiji Uchibe, Masateru Nakamura, Minoru Asada
IJVR
2008
135views more  IJVR 2008»
15 years 6 months ago
Employing Virtual Lecturers' Facial Expressions in Virtual Educational Environments
This research began with a preliminary exploratory study that observed the relationship between the facial expressions of three human lecturers in a real academic lecture theatre a...
G. Theonas, D. Hobbs, D. Rigas
JFR
2006
88views more  JFR 2006»
15 years 6 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
NPL
2007
109views more  NPL 2007»
15 years 6 months ago
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...