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Learning and exploiting context in agents
2002
Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02
The use of context can considerably facilitate reasoning by restricting the beliefs reasoned upon to those relevant and providing extra information specific to the context. Despite the use and formalization of context being extensively studied both in AI and ML, context has not been much utilized in agents. This may be because many agents are only applied in a single context, and so these aspects are implicit in their design, or it may be that the need to explicitly encode information about
doi:10.1145/545056.545105
dblp:conf/atal/Edmonds02
fatcat:pzijuhzgqjblzh6gggr6ir7asi