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» Agent Approach to Situation Assessment
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ILP
2005
Springer
15 years 3 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
AAAI
2007
15 years 13 days ago
ESP: A Logic of Only-Knowing, Noisy Sensing and Acting
When reasoning about actions and sensors in realistic domains, the ability to cope with uncertainty often plays an essential role. Among the approaches dealing with uncertainty, t...
Alfredo Gabaldon, Gerhard Lakemeyer
ATAL
2010
Springer
14 years 11 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani
IJRFITA
2007
114views more  IJRFITA 2007»
14 years 10 months ago
Semi-passive RFID and beyond: steps towards automated quality tracing in the food chain
: Precise temperature monitoring is the major precondition to supervise quality losses within the transport chain for fresh products. Different types of miniaturised data loggers w...
Reiner Jedermann, Walter Lang
102
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AIA
2006
14 years 11 months ago
Some Semantics for a Logical Language for the Game of Dominoes
Epistemic logic allows to reason not only about situations, but also about the knowledge that a set of agents have about situations. In later years, epistemic logic has been appli...
Fernando R. Velázquez-Quesada, Francisco He...