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- W72853458 abstract "[Chang, 2010] argues that slow intelligence is the property shared by surprisingly large number of intelligent systems, and presents examples in scenarios of multimedia data query and mission control in crisis management systems. This paper strengthens this argument by showing that human infant’s object tracing can be understood as a slow intelligence and be simulated in this framework. We first introduce an experiment on infant’s capability of object tracing, and present two rules in psychology which govern object tracing result, namely, the rule of minimal spatial transformation and the rule of categorical continuity. We review related works and reduce object tracing problems into the problem of object mapping. We show that the following capabilities can be simulated in the slow intelligence framework: the capability to acquiring knowledge about one scene, and the capability to mapping object between scenes. We implemented a simple slow intelligence system in C# to simulate the experiment results presented at the beginning of the paper. Some discussions and outlooks are presented." @default.
- W72853458 created "2016-06-24" @default.
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- W72853458 date "2010-01-01" @default.
- W72853458 modified "2023-09-26" @default.
- W72853458 title "Modeling Human Intelligence as A Slow Intelligence System." @default.
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