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IJCAI
2007
14 years 11 months ago
Deictic Option Schemas
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
ITS
2010
Springer
167views Multimedia» more  ITS 2010»
15 years 2 months ago
Investigating the Relationship between Presence and Learning in a Serious Game
We investigate the role of presence in a serious game for intercultural communication and negotiation skills by comparing two interfaces: a 3D version with animated virtual humans ...
H. Chad Lane, Matthew J. Hays, Daniel Auerbach, Ma...
TEDU
2008
126views Education» more  TEDU 2008»
14 years 8 months ago
Online Learning and Clinical Procedures: Rapid Development and Effective Deployment of Game-Like Interactive Simulations
Abstract. Traditionally, medical education has used live patients to teach medical procedures. This carries a significant risk to patients. As learning technology advances, the ear...
Pablo Moreno-Ger, Carl Blesius, Paul Currier, Jos&...
IJCAI
2001
14 years 11 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
CIG
2005
IEEE
15 years 3 months ago
Incrementally Learned Subjectivist Probabilities in Games
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
Colin Fyfe