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» Learning Models of Intelligent Agents
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87
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WIAS
2010
109views more  WIAS 2010»
14 years 7 months ago
Model identification in interactive influence diagrams using mutual information
Modeling the perceived behaviors of other agents improves the performance of an agent in multiagent interactions. We utilize the language of interactive influence diagrams to mode...
Yifeng Zeng, Prashant Doshi
87
Voted
ATAL
2009
Springer
15 years 4 months ago
Norm-based behaviour modification in BDI agents
While there has been much work on developing frameworks and models of norms and normative systems, consideration of the impact of norms on the practical reasoning of agents has at...
Felipe Rech Meneguzzi, Michael Luck
ATAL
2007
Springer
15 years 4 months ago
Interactive dynamic influence diagrams
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
Kyle Polich, Piotr J. Gmytrasiewicz
75
Voted
ATAL
2004
Springer
15 years 6 months ago
Role-Based Approaches for Agent Development
Roles seem to be a suitable concept for the development of agent-based systems. We have compared different approaches based on roles for agent development. This paper illustrates ...
Giacomo Cabri, Luca Ferrari, Letizia Leonardi, Fra...
86
Voted
ATAL
2010
Springer
15 years 1 months ago
Generation and analysis of multiple futures with swarming agents
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore a great m...
H. Van Dyke Parunak