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ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 5 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
CEC
2009
IEEE
14 years 4 months ago
Lamarckian neuroevolution for visual control in the Quake II environment
Abstract— A combination of backpropagation and neuroevolution is used to train a neural network visual controller for agents in the Quake II environment. The agents must learn to...
Matt Parker, Bobby D. Bryant
AI50
2006
14 years 1 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter
IFIP12
2008
13 years 11 months ago
Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions
Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability - believable movements of avatars in normative 3D Virtual W...
Anton Bogdanovych, Simeon J. Simoff, Marc Esteva, ...
JCAL
2011
76views more  JCAL 2011»
13 years 5 months ago
Mentor modeling: the internalization of modeled professional thinking in an epistemic game
: Players of epistemic games--computer games that simulate professional practica— have been shown to develop epistemic frames: a profession’s particular way of seeing and solvi...
Padraig Nash, David Williamson Shaffer