A cognitively-inspired knowledge representation and reasoning system



  1. Antonio Lieto, Daniele P. Radicioni, and Valentina Rho. Dual PECCS: a cognitive system for conceptual representation and categorization. Journal of Experimental & Theoretical Artificial Intelligence, pages 1–20, 2016. [pdf]   [draft]
  2. Antonio Lieto, Daniele P. Radicioni and Valentina Rho. A Common-Sense Conceptual Categorization System Integrating Heterogeneous Proxytypes and the Dual Process of Reasoning. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, July 2015. [pdf]

The DUAL-PECCS Theoretical Framework

  1. Antonio Lieto. A Computational Framework for Concept Representation in Cognitive Systems and Architectures: Concepts as Heterogeneous Proxytypes, in Proceedings of BICA 2014, 5th Int. Conference of Biologically Inspired Cognitive Architectures, Boston, Massachusetts Institute of Technology (MIT), USA, 7-9 November 2014. Elsevier Procedia Computer Science, Vol. 41 (2014), pp. 6-14. [pdf]
  2. Marcello Frixione and Antonio Lieto. Representing Non Classical Concepts in Formal Ontologies: Prototypes vs Exemplars. In C. Lai, G. Semeraro, and E. Vargiu (editors), New Challenges in Distributed Information Filtering and Retrieval, Studies in Computational Intelligence. Volume 439. Springer, 2013. [pdf]
  3. Marcello Frixione and Antonio Lieto. Exemplars, Prototypes and Conceptual Spaces, in BICA 2012, Biologically Inspired Cognitive Architectures, Advances in Intelligent Systems and Computing, Volume 196, 131-136, 2013, Springer Berlin Heidelberg. [pdf]

Before DUAL-PECCS: S1-S2 a dual process based categorization system

  1. Antonio Lieto, Andrea Minieri, Alberto Piana, and Daniele P. Radicioni. A knowledge-based system for prototypical reasoning. Connection Science, 27(2):137–152, 2015. [pdf]
  2. Antonio Lieto, Daniele P. Radicioni, Marcello Frixione, and Valentina Rho. Extending Ontological Categorization Through a Dual Process Conceptual Architecture. In Ana Fred, Jan L. G. Dietz, David Aveiro, Kecheng Liu, and Joaquim Filipe, editors, Knowledge Discovery, Knowledge Engineering and Knowledge Management, volume 553 of Communications in Computer and Information Science, pages 313–328. Springer International Publishing, 2015. [pdf]
  3. L. Ghignone, A. Lieto, D. P. Radicioni. Typicality-Based Inference by Plugging Conceptual Spaces Into Ontologies. In Lieto, Cruciani (Eds.), Proceedings of the International Workshop on Artificial Intelligence and Cognition, CEUR, 2013. [pdf]