Modal logics are widely used in multi-agent systems to reason about acti...
We investigate an approach for extracting knowledge from trained neural
...
Tsetlin Machines (TsMs) are a promising and interpretable machine learni...
We propose a new paradigm for Belief Change in which the new information...
Autonomous systems that operate in a shared environment with people need...
Non-normal modal logics, interpreted on neighbourhood models which gener...
We study the effectiveness of Knowledge Graph Embeddings (KGE) for knowl...
We investigate the problem of extracting rules, expressed in Horn logic,...
Formalisms based on temporal logics interpreted over finite strict linea...
Most approaches for repairing description logic (DL) ontologies aim at
c...
In the search for knowledge graph embeddings that could capture ontologi...
Definite descriptions are phrases of the form 'the x such that φ',
used ...
The quest for acquiring a formal representation of the knowledge of a do...
Ontologies are a popular way of representing domain knowledge, in partic...
In Formal Concept Analysis, a base for a finite structure is a set of
im...
This paper investigates the feasibility of automated reasoning over temp...
The Craig interpolation property (CIP) states that an interpolant for an...
We investigate learnability of possibilistic theories from entailments i...
We address the problem of handling provenance information in ELHr ontolo...
We investigate the complexity of learning query inseparable ontologies
...
Ontology-based data access (OBDA) is a popular paradigm for querying
het...
We investigate the problem of learning description logic ontologies from...
Axiom pinpointing refers to the problem of finding the axioms in an onto...
We study the problem of learning description logic (DL) ontologies in An...