A description logic framework for commonsense conceptual combination integrating typicality, probabilities and cognitive heuristics

A computational framework for conceptual blending

(2018) Manfred Eppe et al.   ARTIFICIAL INTELLIGENCE

The knowledge level in cognitive architectures: Current limitations and possible developments

(2018) Antonio Lieto et al.   Cognitive Systems Research

The Complexity of Circumscription in DLs

(2018) P. A. Bonatti et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Defeasible Inheritance-Based Description Logics

(2018) G. Casini et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Hierarchical conceptual spaces for concept combination

(2016) Martha Lewis et al.   ARTIFICIAL INTELLIGENCE

Dual PECCS: a cognitive system for conceptual representation and categorization

(2016) Antonio Lieto et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Semantic characterization of rational closure: From propositional logic to description logics

(2015) L. Giordano et al.   ARTIFICIAL INTELLIGENCE

A new semantics for overriding in description logics

(2015) P.A. Bonatti et al.   ARTIFICIAL INTELLIGENCE

Min-based possibilisticDL-Lite

(2015) Salem Benferhat et al.   JOURNAL OF LOGIC AND COMPUTATION

Probabilistic Description Logics under the distribution semantics

(2015) Fabrizio Riguzzi et al.   Semantic Web

A non-monotonic Description Logic for reasoning about typicality

(2012) L. Giordano et al.   ARTIFICIAL INTELLIGENCE

Uncertainty modelling for vague concepts: A prototype theory approach

(2009) Jonathan Lawry et al.   ARTIFICIAL INTELLIGENCE

Description logic programs under probabilistic uncertainty and fuzzy vagueness

(2009) Thomas Lukasiewicz et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A survey of autonomic computing—degrees, models, and applications

(2008) Markus C. Huebscher et al.   ACM COMPUTING SURVEYS

Expressive probabilistic description logics

(2007) Thomas Lukasiewicz   ARTIFICIAL INTELLIGENCE