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The linkage between actions of the two agents is purely intentional [8] [10] and only makes sense against the background of reciprocal communicative intention recognition [11].
It is based on the machine intention recognition of the human.
In this paper, we describe a novel approach for representing state information for the purpose of intention recognition in cooperative human robot environments.
While identifying the intention of an utterance has played a major role in natural language understanding, this work is the first to extend intention recognition to the domain of information graphics.
The idea of PNR integrates various AI techniques, namely, user intention recognition, normative reasoning over a user's intention, and planning, execution and replanning for assistive actions.
The need to assess muscle activation and intention recognition in the design of prosthetic or exoskeleton robots has recently increased in rehabilitation medical research.
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But the mechanism of discovery is not decoding according to conventional rules, but intention-recognition and discovery based on ampliative inference.
So central is intention-recognition to understanding language that the code model, with autonomous semantics at its core, should largely be abandoned in favor of the inferential model.
Is language mainly and centrally a matter of deduction, of coding and decoding according to the conventions of meaning, with a little intention-recognition around the near and far edges to take care of ambiguity and implicature?
Even if the interpreter's reasoning is guided by the conversational principle or maxims, as Grice thought, intention-recognition is not basically a matter of following conventional rules, but ampliative reasoning about what is going on in other minds.
"But I never started it with the intention of recognition," he says.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com