An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

We aim to develop a computationally feasible, cognitively-inspired, formal model of concept
invention, drawing on Fauconnier and Turner's theory of conceptual blending, and …

Agents may use ontology alignments to communicate when they represent knowledge with
different ontologies: alignments help reclassifying objects from one ontology to the other …

GUM is a linguistically-motivated ontology originally developed to support natural language
processing systems by offering a level of representation intermediate between linguistic …

When agents independently learn knowledge, such as ontologies, about their environment,
it may be diverse, incorrect or incomplete. This knowledge heterogeneity could lead agents …

Agreement technologies have settled the basis for creating systems that operate on the
basis of agreements in societies of independent, autonomous computational entities …

The notion of validity fulfils a crucial role in legal theory. In the emerging Web 3.0, Semantic
Web languages, legal ontologies, and normative multi-agent systems (nMAS) are designed …

In this paper we tackle the problem of semantic heterogeneity in multi-agent communication,
ie, when agents in a multi-agent system use different vocabularies for message passing, or …

Alignments between ontologies may be established through agents holding such ontologies
attempting at communicating and taking appropriate action when communication fails. This …

The problem of achieving common understanding between agents that use different
vocabularies has been mainly addressed by techniques that assume the existence of …