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Protocols from perceptual observations
2005
Artificial Intelligence
This paper presents a cognitive vision system capable of autonomously learning protocols from perceptual observations of dynamic scenes. The work is motivated by the aim of creating a synthetic agent that can observe a scene containing interactions between unknown objects and agents, and learn models of these sufficient to act in accordance with the implicit protocols present in the scene. Discrete concepts (utterances and object properties), and temporal protocols involving these concepts, are
doi:10.1016/j.artint.2005.04.006
fatcat:6vmsva7xz5bcdklozj4ckxvoia