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» Collective Learning and Semiotic Dynamics
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102
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AAAI
2012
13 years 2 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
95
Voted
UMUAI
2008
110views more  UMUAI 2008»
14 years 11 months ago
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...
Scott W. McQuiggan, Bradford W. Mott, James C. Les...
CSE
2009
IEEE
15 years 3 months ago
Development and Validation of an Agent-Based Simulation Model of Juvenile Delinquency
This paper describes the development and validation of a dynamic multi-agent model to simulate social learning of adolescence-limited criminal behaviour. The parameters of the age...
Tibor Bosse, Charlotte Gerritsen, Michel C. A. Kle...
WOSS
2004
ACM
15 years 5 months ago
Self-managed decentralised systems using K-components and collaborative reinforcement learning
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
Jim Dowling, Vinny Cahill
76
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MHVR
1994
119views Multimedia» more  MHVR 1994»
15 years 3 months ago
The Development of a Virtual world for Learning Newtonian Mechanics
We are collaboratively designing "ScienceSpace," a collection of virtual worlds designed to explore the potential utility of physical immersion and multisensory perceptio...
Christopher J. Dede, Marilyn C. Salzman, R. Bowen ...