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AIIDE
2008
13 years 11 months ago
Intelligent Trading Agents for Massively Multi-player Game Economies
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
John Reeder, Gita Sukthankar, Michael Georgiopoulo...
AAAI
2008
13 years 11 months ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
PAAMS
2010
Springer
13 years 7 months ago
Improving Functionalities in a Multi-agent Architecture for Ocean Monitoring
This paper presents an improved version of a multiagent architecture aimed at providing solutions for monitoring the interaction between the atmosphere and the ocean. The ocean sur...
Fernando de la Prieta, Óscar Gil, Carolina ...
ATAL
2006
Springer
14 years 25 days ago
Ontology-guided learning to improve communication between groups of agents
We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation ...
Mohsen Afsharchi, Behrouz H. Far, Jörg Denzin...
IADIS
2004
13 years 10 months ago
WASA: An Intelligent Agent for Web-Based Self-Assessment
WASA is an intelligent self-assessment agent of WADIES, a web-based learning environment which adapts its material to reflect the needs of the individual learner, whether it is fo...
Katerina Georgouli