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» Using Learning in a Control Agent
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119
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ATAL
2006
Springer
15 years 6 months ago
Reinforcement learning for declarative optimization-based drama management
A long-standing challenge in interactive entertainment is the creation of story-based games with dynamically responsive story-lines. Such games are populated by multiple objects a...
Mark J. Nelson, David L. Roberts, Charles Lee Isbe...
MONET
2011
14 years 9 months ago
Achieving End-to-end Fairness in 802.11e Based Wireless Multi-Hop Mesh Networks Without Coordination
Abstract To mitigate the damaging impacts caused by interference and hidden terminals, it has been proposed to use orthogonal channels in wireless multi-hop mesh networks. We demon...
Tianji Li, Douglas J. Leith, Venkataramana Badarla...
123
Voted
WECWIS
2003
IEEE
90views ECommerce» more  WECWIS 2003»
15 years 8 months ago
A Web Agent for Automating E-Commerce Operations
The great amount of information that a user handles in their typical transactions on the Internet –identifiers, addresses, credit card numbers, among others-, makes it necessary...
Juan Raposo, Manuel Álvarez, Ángel V...
141
Voted
IAT
2008
IEEE
15 years 2 months ago
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
Budhitama Subagdja, Ah-Hwee Tan
IAT
2008
IEEE
15 years 2 months ago
nAble Adaptive Scaffolding Agent - Intelligent Support for Novices
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an a...
Joseph MacInnes, Stephanie Santosa, Nathan Kronenf...