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ATAL
2006
Springer
15 years 4 months ago
Software agents that learn through observation
In this paper, we present an architecture for software agents that enables them to learn vocabulary through the observation of each other bodies and actions. Besides sensors, effe...
Jaçanã Machado, Luís Miguel B...
85
Voted
AAAI
1996
15 years 1 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
ATAL
2008
Springer
15 years 2 months ago
Learning to interact: connecting perception with action in virtual environments
Modeling synthetic characters which interact with objects in dynamic virtual worlds is important when we want the agents to act in an autonomous and non-preplanned way. Such inter...
Pedro Sequeira, Ana Paiva
ATAL
2008
Springer
15 years 2 months ago
Norm emergence under constrained interactions in diverse societies
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Partha Mukherjee, Sandip Sen, Stéphane Airi...
106
Voted
AOSE
2000
Springer
15 years 4 months ago
Designing Agent-Oriented Systems by Analysing Agent Interactions
We propose a preliminary methodology for agent-oriented software engineering based on the idea of agent interaction analysis. This approach uses interactions between undetermined a...
Simon Miles, Mike Joy, Michael Luck