Building on previous work on Weighted Description Logic (WDL), we present and assess an
algorithm for concept combination grounded in the experimental research in cognitive …

We present an algorithm for concept combination inspired and informed by the research in
cognitive and experimental psychology. Dealing with concept combination requires, from a …

Abstract Large Language Models (LLMs) have revolutionised natural language generation.
But their statistical and auto-regressive nature makes them unreliable. It has become clear to …

The representation of everyday concepts is important for a number of applications, ranging
from the Semantic Web to NLP and general AI. We propose here a detailed case study of the …

Image schemas have been recognized as fundamental cognitive structures that precede
language and serve as foundational elements for conceptualization. Extensive research has …

What is a concept? This is a fundamental question in philosophy, cognitive science,
psychology, and AI. However, answers rarely converge. Research in experimental and …

This paper addresses the underspecification of the FORCE image schema. We present a
novel hybrid pipeline that combines large language model interactions, linguistic analysis …

Image Schema research has long been hampered by the scarcity of annotated data, limiting
advancements in the field. This paper presents a novel approach to overcoming this …

The recent remarkable success of generative AI models to create text and images has
already started altering our perspective of intelligence and the “uniqueness” of humanity in …

Qualitative descriptions of object arrangements and behaviors (eg terms such as “near” or
“fast”) can be interpreted as placing constraints on the values of the parameters they refer to …