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KI
1997
Springer
13 years 11 months ago
Agents in Proactive Environments
Abstract. Agents situated in proactive environments are acting autonomously while the environment is evolving alongside, whether or not the agents carry out any particular actions....
Dov M. Gabbay, Rolf Nossum, Michael Thielscher
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
14 years 20 days ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
AAAI
1996
13 years 8 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
AUSAI
2009
Springer
14 years 2 months ago
Simple Default Reasoning in Theories of Action
We extend a recent approach to integrate action formalisms and non-monotonic reasoning. The resulting framework allows an agent employing an action theory as internal world model t...
Hannes Strass, Michael Thielscher
IVA
2010
Springer
13 years 5 months ago
Expression of Behaviors in Assistant Agents as Influences on Rational Execution of Plans
Assistant Agents help ordinary people about computer tasks, in many ways, thanks to their rational reasoning capabilities about the current model of the world. However they face st...
Jean-Paul Sansonnet, François Bouchet