Formal knowledge representation struggles to represent the dynamic changes within
complex events in a cognitively plausible way. Image schemas, on the other hand, are …

Image schemas are mental patterns learned from perceptual experiences capturing
conceptual constructions in expressions. In linguistic analysis, their visualizations are often …

The development of artificial intelligence systems capable of understanding and reasoning
about complex real-world scenarios is a significant challenge. In this work we present a …

Dealing with robotic actions in uncertain environments has been demonstrated to be hard.
Many classic planning approaches to robotic action make the closed world assumption …

Situationally-aware artificial agents operating with competence in natural environments face
several challenges: spatial awareness, object affordance detection, dynamic changes and …

Autonomous robots struggle with plan adaption in uncertain and changing environments.
Although modern robots can make popcorn and pancakes, they are incapable of performing …

In this work, we propose a formal, computational model of the sense-making of diagrams by
using the theories of image schemas and conceptual blending, stemming from cognitive …

Despite rapid progress, cognitive robots have yet to match the facility with which humans
acquire and find ways to reuse manipulation skills. An important component of human …

Despite the wide range of studies on how students' past knowledge influences their
understanding of scientific terminology, few studies were conducted to compare non …

The cognitive-linguistic theory of conceptual blending was introduced by Fauconnier and
Turner in the late 90s to provide a descriptive model and foundational approach for the …