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» Modelling Agents as Observable Sources
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IAT
2008
IEEE
14 years 1 months ago
Relating Cognitive Process Models to Behavioural Models of Agents
From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actio...
Alexei Sharpanskykh, Jan Treur
AAAI
2000
13 years 8 months ago
Predicting Future User Actions by Observing Unmodified Applications
Intelligent user interfaces often rely on modified applications and detailed application models. Such modifications and models are expensive to build and maintain. We propose to a...
Peter Gorniak, David Poole
AAAI
2006
13 years 8 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
ATAL
2010
Springer
13 years 7 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
AAMAS
2006
Springer
13 years 6 months ago
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested and when trusted to perform an action for another...
W. T. Luke Teacy, Jigar Patel, Nicholas R. Jenning...