Algebraic interval constraint driven exploration in human-agent collaborative problem solving

Abstract

To enable effective human-agent collaboration, new human-centric computing paradigms are needed. This paper presents a soft constraint representation scheme based on generalized intervals. With logically quantified intervals, semantics and intent can be integrated in numerical computing. The interpretable numerical results allow for better human-agent communication.