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CORR
2007
Springer
73views Education» more  CORR 2007»
13 years 10 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
JDS
2006
44views more  JDS 2006»
13 years 10 months ago
Multiagent Matching Algorithms with and without Coach
The concept of "agent" has been used to describe many different artefacts: software programs, mobile robots, or even human beings. In a system consisting of many agents, ...
Frieder Stolzenburg, Jan Murray, Karsten Sturm
COLING
2010
13 years 5 months ago
Metaphor Interpretation and Context-based Affect Detection
Metaphorical and contextual affect detection from open-ended text-based dialogue is challenging but essential for the building of effective intelligent user interfaces. In this pa...
Li Zhang
LORI
2009
Springer
14 years 4 months ago
Dynamic Testimonial Logic
We propose a dynamic testimonial logic (DTL) to model communication and belief change among agents with different dispositions to trust each other as information sources. DTL is ...
Wesley H. Holliday
ACMICEC
2006
ACM
213views ECommerce» more  ACMICEC 2006»
14 years 4 months ago
CMieux: adaptive strategies for competitive supply chain trading
Supply chains are a central element of today’s global economy. Existing management practices consist primarily of static interactions between established partners. Global compet...
Michael Benisch, Alberto Sardinha, James Andrews, ...