Abstract Spatial Concept Priming Dynamically Influences Real-World Actions

Abstract Spatial Concept Priming Dynamically Influences Real-World Actions

Experienced regularities in our perceptions and actions play important roles in grounding abstract concepts such as social status, time, and emotion. Might we similarly ground abstract spatial concepts in more experienced-based domains? The present experiment explores this possibility by implicitly priming abstract spatial terms (north, south, east, west) and then measuring participants' hand m...

Social Actions and Influences: An extended abstract

Automatic Concept Acquisition from Real - World

We introduce a concept learning methodology for text understanding systems that is based on terminological knowledge representation and reasoning. Quality-based metareasoning techniques allow for an incremental evaluation and selection of concept hypotheses. This methodology is particularly aimed at real-world text understanding environments where lexical/conceptual resources cannot be complete...

Automatic Concept Acquisition from Real-World Texts

We introduce a concept learning methodology for text understanding systems that is based on terminological knowledge representation and reasoning. Qualitybased metareasoning techniques allow for an incremental evaluation and selection of concept hypotheses. This methodology is particularly aimed at realworld text understanding environments where lexical/conceptual resources cannot be completely...

Concept Learning in a Real-world Domain

In many domains, automatic concept learning from real-world input data is a very useful, as well as complex, process. The use of a case-based concept learning system is presented in this paper. This system uses domain knowledge to guide the different steps of the construction and the utilization of the cases memory. Its originality is that the domain knowledge it uses consists both of simple do...