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» Knowledge Granularity and Action Selection
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ATAL
2011
Springer
12 years 7 months ago
Incentive design for adaptive agents
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
NN
2006
Springer
122views Neural Networks» more  NN 2006»
13 years 7 months ago
Goals and means in action observation: A computational approach
Many of our daily activities are supported by behavioural goals that guide the selection of actions, which allow us to reach these goals effectively. Goals are considered to be im...
Raymond H. Cuijpers, Hein T. van Schie, Mathieu Ko...
IJCAI
2007
13 years 9 months ago
A Decision-Theoretic Model of Assistance
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In this paper, we ...
Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasa...
ACL
2010
13 years 5 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
ATAL
2003
Springer
14 years 1 months ago
Rational action in agent programs with prioritized goals
Agent theories and agent programs are two very different styles of specification of agent behavior. The former are declarative in nature, while the latter have an imperative fl...
Sebastian Sardiña, Steven Shapiro