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» Learning the required number of agents for complex tasks
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KESAMSTA
2009
Springer
14 years 2 months ago
Relational Learning by Imitation
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...
PRICAI
2000
Springer
13 years 11 months ago
Task Models, Intentions, and Agent Conversation Policies
It is possible to define conversation policies, such as communication or dialogue protocols, that are based strictly on what messages and, respectively, what performatives may foll...
Renee Elio, Afsaneh Haddadi, Ajit Singh
TAMODIA
2004
13 years 9 months ago
TaskArchitect: taking the work out of task analysis
This paper takes a pragmatic approach to the design of a task analysis support tool. Instead of proposing a new approach to analysis, it looks at the common requirements for provi...
Jon Stuart, Richard Penn
AAAI
2010
13 years 9 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
ATAL
2004
Springer
14 years 1 months ago
From Global Selective Perception to Local Selective Perception
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
Sébastien Paquet, Nicolas Bernier, Brahim C...