Natural Human-Machine Interaction for Manipulating Formal Language: Bootstrapping with Mapping (Interaction homme-machine en domaine large \`a l'aide du langage naturel : une amorce par mise en correspondance) [in French]

A Model for Intelligible Interaction Between Agents That Predict and Explain

Machine Learning (ML) has emerged as a powerful form of data modelling with widespread applicability beyond its roots in the design of autonomous agents. However, relatively little attention has been paid to the interact…

Formalising Natural Language Quantifiers for Human-Robot Interactions

We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilities to represent the cardinality of variab…

Naturalistic stimuli in touch research

Neural mechanisms of touch are typically studied in laboratory settings using robotic or other types of well-controlled devices. Such stimuli are very different from highly complex naturalistic human-to-human touch inter…

Human-guided Collaborative Problem Solving: A Natural Language based Framework

We consider the problem of human-machine collaborative problem solving as a planning task coupled with natural language communication. Our framework consists of three components -- a natural language engine that parses t…

A Mapping-Based Approach for General Formal Human Computer Interaction Using Natural Language