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» Learning Models of Intelligent Agents
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DIS
2009
Springer
14 years 10 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
AAAI
2010
15 years 1 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
107
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ATAL
2009
Springer
15 years 7 months ago
Like an intuitive and courteous butler: a proactive personal agent for task management
The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a person...
Neil Yorke-Smith, Shahin Saadati, Karen L. Myers, ...
AGENTCL
2000
Springer
15 years 5 months ago
What Is a Conversation Policy?
In this paper we define the concept of conversation policies: declarative specifications that govern communications between software agents using an agent communication language. ...
Mark Greaves, Heather Holmback, Jeffrey Bradshaw
AUSAI
2005
Springer
15 years 6 months ago
A Virtual Prolog Approach to Implementing Beliefs, Desires and Intentions in Animat Agents
Simulating a system of agents that navigate in a physical space is a challenging problem when the environment is sophisticated and the number of agents involved is large. We descr...
Kenneth A. Hawick, Heath A. James, C. J. Scogings