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» Framework for Dynamic Life Critical Situations Using Agents
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ICML
2005
IEEE
14 years 8 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
CEEMAS
2005
Springer
14 years 1 months ago
How Our Beliefs Contribute to Interpret Actions
Abstract. In update logic the interpretation of an action is often assumed to be independent from the agents’ beliefs about the situation (see [BMS04] or [Auc05]). In this paper ...
Guillaume Aucher
KI
2009
Springer
14 years 2 months ago
Right-of-Way Rules as Use Case for Integrating GOLOG and Qualitative Reasoning
Abstract. Agents interacting in a dynamically changing spatial environment often need to access the same spatial resources. A typical example is given by moving vehicles that meet ...
Florian Pommerening, Stefan Wölfl, Matthias W...
FLAIRS
2004
13 years 9 months ago
CSAA: A Distributed Ant Algorithm Framework for Constraint Satisfaction
In this paper the distributed Constraint Satisfaction Ant Algorithm (CSAA) framework is presented. It uses an ant-based system for the distributed solving of constraint satisfacti...
Koenraad Mertens, Tom Holvoet
WORDS
2005
IEEE
14 years 1 months ago
An Adaptable Security Framework for Service-based Systems
A major advantage of service-based computing technology is the ability to enable rapid formation of large-scale distributed systems by composing massively available services to ac...
Stephen S. Yau, Yisheng Yao, Zhaoji Chen, Luping Z...