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» Can Doxastic Agents Learn
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101
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ATAL
2010
Springer
15 years 1 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
98
Voted
TSMC
2008
146views more  TSMC 2008»
15 years 18 days ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
81
Voted
CHI
2007
ACM
16 years 1 months ago
Vio: a mixed-initiative approach to learning and automating procedural update tasks
Today many workers spend too much of their time translating their co-workers' requests into structures that information systems can understand. This paper presents the novel ...
John Zimmerman, Anthony Tomasic, Isaac Simmons, Ia...
124
Voted
JAIR
2008
157views more  JAIR 2008»
15 years 21 days ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
110
Voted
IVA
2009
Springer
15 years 5 months ago
A Groovy Virtual Drumming Agent
This paper presents an architecture for an intelligent virtual agent that imitates human drumming behaviour. Through imitation, the agent models the user-specific variations that ...
Axel Tidemann, Pinar Öztürk, Yiannis Dem...