2013/07/27 by Mueller, Martin E., Thosar, Madhura D.
#Artificial Intelligence (cs.AI) #D.1.6 #FOS: Computer and information sciences #I.2.4 #I.2.6 #I.2.9 #Machine Learning (cs.LG)
paper · doi:10.48550/arxiv.1307.7303
In this paper, we describe an approach that enables an autonomous system to infer the semantics of a command (i.e. a symbol sequence representing an action) in terms of the relations between changes in the observations and the action instances. We present a method of how to induce a theory (i.e. a semantic description) of the meaning of a command in terms of a minimal set of background knowledge. The only thing we have is a sequence of observations from which we extract what kinds of effects were caused by performing the command. This way, we yield a description of the semantics of the action and, hence, a definition.