Antonio Lieto

Antonio Lieto
Università degli Studi di Torino | UNITO · Dipartimento di Informatica

Ph.D.
AI Researcher @ Unito, ACM Dist. Speaker, Author of "Cognitive Design for Artificial Minds" routledge.pub/AntonioLieto

About

104
Publications
36,383
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943
Citations
Introduction
Antonio Lieto is Assistant Professor (RTDB) in Computer Science at the University of Turin and Research Associate at the ICAR-C.N.R. His focus is on: Knowledge Representation and Reasoning, Semantic/Language Technologies, Cognitive Systems. He is ACM Distinguished Speaker, Vice President of the Italian Cognitive Science Society, Deputy Editor-in-Chief of the Journal of Exp. and Theor. Art. Int (JETAI), Ass.Editor of the journal Cognitive Systems Research. Home Page: https://www.antoniolieto.net
Additional affiliations
April 2021 - present
Università degli Studi di Torino
Position
  • Professor (Assistant)
March 2018 - March 2021
Università degli Studi di Torino
Position
  • Researcher
September 2016 - present
Università degli Studi di Torino
Position
  • Lecturer
Description
  • In the academic year 2016/2017 I was contract professor (i.e. the equivalenti role of Adjunct Professor outside Italy) at the University of Turin for the course of “Web Technologies” (6 ECFU).
Education
November 2008 - June 2012
Università degli Studi di Salerno
Field of study
  • AI/Knowledge Representation and Reasoning

Publications

Publications (104)
Article
Full-text available
In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense cat-egorization (prototypical and exemplars-based categorization) with standard m...
Article
Full-text available
We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC+TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equippe...
Book
Full-text available
Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the c...
Article
Full-text available
We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation. This system relies on a recently introduced commonsense reasoning framework, the TCL logic, which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base....
Article
Full-text available
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt different persuasive techniques and ethical stances while conversing about some topics concerning COVID-19. The main contribution of the paper consists in the proposal of a needs-driven model that guides and evaluates, during the dialogue, the use (if an...
Conference Paper
Full-text available
This document describes the rationale, the implementation and a preliminary evaluation of a semantic reasoning tool developed in the EU H2020 SPICE project to enhance the diversity of perspectives experienced by museum visitors. The tool, called DEGARI 2.0 for values, relies on the commonsense reasoning framework T CL , and exploits an ontological...
Conference Paper
Full-text available
The paper presents a combined approach to knowledge-based emotion attribution and classification of cultural items employed in the H2020 project SPICE. In particular, we show a preliminary experimentation conducted on a selection of items contributed by the GAM Museum in Turin (Galleria di Arte Moderna), pointing out how different language-based ap...
Article
Full-text available
In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues a...
Article
Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of material spanning from visitors’ experiential feedback on exhibitions and cultural artefacts to digitally...
Article
Full-text available
The mental rotation ability is an essential spatial reasoning skill in human cog-nition and has proven to be an essential predictor of mathematical and STEM skills, critical and computational thinking. Despite its importance, little is known about when and how mental rotation processes are activated in games explicitly targeting spatial reasoning t...
Preprint
Full-text available
We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation. This system relies on a recently introduced commonsense reasoning framework, the TCL logic, which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base....
Chapter
In this work we describe preferential Description Logics of typicality, a nonmonotonic extension of standard Description Logics by means of a typicality operator T allowing to extend a knowledge base with inclusions of the form T(C) ⊑ D, whose intuitive meaning is that “normally/typically Cs are also Ds”. This extension is based on a minimal model...
Conference Paper
Full-text available
The SPICE project builds on the growing trend for museums, rather than providing an authoritative view, to present multiple voices related to their collection and exhibitions. In SPICE, an approach we term citizen curation is proposed as a way of supporting visitors to share their own interpretations of museum objects and reflect on the variety of...
Conference Paper
Full-text available
In this work we exploit a recently introduced nonmono-tonic extension of Description Logics, able to deal with the problem of knowledge invention via commonsense concept combination, to dynamically generate novel editorial contents in the context of a real broadcasting company: RAI-Radiotelevisione Italiana, the Ital-ian public broadcaster. In part...
Preprint
Full-text available
In this work we describe preferential Description Logics of typicality, a nonmonotonic extension of standard Description Logics by means of a typicality operator T allowing to extend a knowledge base with inclusions of the form T(C) v D, whose intuitive meaning is that normally/typically Cs are also Ds. This extension is based on a minimal model se...
Conference Paper
Full-text available
In this work we want to study the possibility to integrate a Mediterranean Diet Score into an existing diet management architecture. The main goal is to integrate the quantitative constraints on macronutrients with the qualitative constraints encoded in the Mediterranean Diet. This paper presents some preliminary results on this roadmap.
Chapter
This short paper is an abridged version of [1], where we introduce a framework for the dynamic generation of novel knowledge obtained by exploiting a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts. Given a goal expressed as a set of properties, in case an intelligent agent ca...
Chapter
This paper provides a preliminary analysis of the possible role of cognitive architectures in the field of Serious Games. The seminal works that explore the use of Cognitive Architecture in games will be analyzed in the light of an emerging perspective of the games AI research area. Finally, an initial proposal of application of Cognitive Architect...
Article
Full-text available
Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and explore persuasive techniques that can, nonetheless, be used to enhance recommendation presentatio...
Conference Paper
Full-text available
In this work we describe a novel approach to goal-oriented knowledge capturing that, differently from the standard knowledge acquisition pipelines, employs a dynamic conceptual reframing mechanismrelying on a non monotonic reasoning procedure. This approachhas been implemented in a knowledge based system able to findthe solution to not directly sat...
Preprint
Full-text available
The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual represen...
Article
Full-text available
In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain...
Article
Full-text available
In this paper I will present an analysis of the impact that the notion of "bounded rationali-ty", introduced by Herbert Simon in his book "Administrative Behavior", produced in the field of Artificial Intelligence (AI). In particular, by focusing on the field of Automated Decision Making (ADM), I will show how the introduction of the cognitive dime...
Preprint
Full-text available
We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of concept combination of prototypical concepts. The proposed logic relies on the logic of typicality ALC TR, whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equ...
Chapter
The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual represen...
Chapter
As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation...
Article
Full-text available
Lexical resources are fundamental to tackle many tasks that are central to present and prospective research in Text Mining, Information Retrieval, and connected to Natural Language Processing. In this article we introduce COVER, a novel lexical resource, along with COVERAGE, the algorithm devised to build it. In order to describe concepts, COVER pr...
Conference Paper
Full-text available
We propose a nonmonotonic Description Logic of typicality as a tool for the generation and the exploration of novel creative concepts, that could be useful in many applicative scenarios, ranging from video games to the creation of new movie characters. In particular, our logic is able to deal with the phenomenon of prototypical concept combination,...
Chapter
We propose a nonmonotonic Description Logic of typicality as a tool for the generation and the exploration of novel creative concepts, that could be useful in many applicative scenarios, ranging from video games to the creation of new movie characters. In particular, our logic is able to deal with the phenomenon of prototypical concept combination,...
Article
Full-text available
We present the input to the discussion about the computational framework known as Common Model of Cognition (CMC) from the working group dealing with the knowledge/rational/social levels. In particular, we present a list of the higher level constraints that should be addressed within such a general framework.
Conference Paper
Full-text available
We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + T R , based on the notion of rational closure, by inclusions p :: T(C) D ("we have probability p that typical Cs...
Chapter
Full-text available
The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual represen...
Conference Paper
Full-text available
In this paper we introduce a system for the computation of explanations that accompany scores in the conceptual similarity task. In this setting the problem is, given a pair of concepts, to provide a score that estimates in how far the two concepts are similar. In order to explain how explanations are automatically built, we illustrate some basic f...
Article
Full-text available
In this paper we discuss some of the issues concerning the Memory and Content aspects in the recent debate on the identification of a Standard Model of the Mind (Laird, Lebiere, and Rosenbloom in press). In particular, we focus on the representational models concerning the Declarative Memories of current Cognitive Architectures (CAs). In doing so w...
Conference Paper
Full-text available
In this paper we discuss some of the issues concerning the Memory and Content aspects in the recent debate on the identification of a Standard Model of the Mind (Laird, Lebiere, and Rosenbloom in press). In particular we focus on the rep-resentational models concerning the Declarative Memories of current Cognitive Architectures (CAs). In doing so w...
Article
Full-text available
In this paper we present the rationale adopted for the integration of the knowledge level of DUAL-PECCS, a cognitive system for conceptual representation and categorization, with two different cognitive architectures: SOAR and LIDA. In previous works we already showed how the representational and reasoning framework adopted in DUAL-PECCS was integr...
Article
Full-text available
The term "Cognitive Architectures" indicates both abstract models of cognition, in natural and artificial agents, and the software instantiations of such models which are then employed in the field of Artificial Intelligence (AI). The main role of Cognitive Architectures in AI is that one of enabling the realization of artificial systems able to ex...
Conference Paper
Full-text available
The capacity for AI systems of explaining their decisions represents nowadays a huge challenge for both academia and industry (e.g. let us think at the autonomous cars sector). In this paper we sketch a preliminary proposal suggesting the adoption of a dual process approach for computational explanation. Our proposal is declined in the field of Hum...
Conference Paper
In this paper we report on the participation of the MERALI system to the Se-mEval Task 2 Subtask 1. The MER-ALI system approaches conceptual similarity through a simple, cognitively inspired , heuristics; it builds on a linguistic resource, the TTCS E , that relies on Babel-Net, NASARI and ConceptNet. The linguistic resource in fact contains a nove...
Article
Full-text available
In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should...
Article
Full-text available
During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[48]) are based on a purely con-nectionist model, while others (e.g. CLARION [59]) a...
Conference Paper
Full-text available
In this paper we introduce the TTCS-e , a linguistic resource that relies on BabelNet, NASARI and ConceptNet, that has now been used to compute the conceptual similarity between concept pairs. The conceptual representation herein provides uniform access to concepts based on Babel-Net synset IDs, and consists of a vector-based semantic representatio...
Conference Paper
Full-text available
In this paper we report on the participation of the MERALI system to the Se-mEval Task 2 Subtask 1. The MER-ALI system approaches conceptual similarity through a simple, cognitively inspired , heuristics; it builds on a linguistic resource, the TTCS E , that relies on Babel-Net, NASARI and ConceptNet. The linguistic resource in fact contains a nove...
Conference Paper
Full-text available
We present a novel algorithm and a linguistic resource named CLOSEST after 'Common SEnse STrainer'. The resource contains a list of the main senses associated to a given term, and it was obtained by applying a simple set of pruning heuristics to the senses provided in the NASARI vectors for the set of 15K most frequent English terms. The preliminar...
Conference Paper
Full-text available
In this paper we introduce the TTCS system, so named after Terms To Conceptual Spaces, that exploits a resource-driven approach relying on BabelNet, NASARI and ConceptNet. TTCS takes in input a term and its context of usage and produces as output a specific type of vector-based semantic representation, where conceptual information is encoded throug...
Article
Full-text available
In cultural heritage, the use of ontologies makes the description of artworks clearer and self-explanatory, with advantages in terms of interoperability. The current shift towards semantic encoding opens the way to the creation of interfaces that allow the users to build personal paths in heritage collections by exploiting the relations over the ar...
Article
Full-text available
This paper describes the rationale followed for the integration of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system, into two rather different cognitive architectures, such as ACT-R and CLARION. The provided integration shows how the repre-sentational and reasoning mechanisms implemented by our framework may be plaus...
Conference Paper
Full-text available
In this article we present DUAL-PECCS, an integrated Knowledge Representation system aimed at extending artificial capabilities in tasks such as conceptual categorization. It relies on two different sorts of cognitively inspired common-sense reasoning: prototypical reasoning and exemplars-based reasoning. Furthermore, it is grounded on the theoreti...
Conference Paper
Full-text available
This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of process- ing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process...
Conference Paper
Full-text available
In this work we present a hybrid knowledge representation system aiming at extending the representational and reasoning capabilities of classical ontologies by taking into account the theories of typicality in conceptual processing. The system adopts a categorization process inspired to the dual process theories and, from a representational perspec...
Article
Full-text available
The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents,...
Conference Paper
Full-text available
This paper investigates the notion of visual load, an es- timate for a lexical item’s efficacy in activating mental images associated with the concept it refers to. We elab- orate on the centrality of this notion which is deeply and variously connected to lexical processing. A com- putational model of the visual load is introduced that builds on fe...
Article
Full-text available
This paper presents an ontological approach to the domain of drama. After a description of the drama domain in a crosscultural and media setting, we introduce the ontology Drammar. Drammar consists of two components, encoding respectively the conceptual model and the SWRL rules. The conceptual model, mainly grounding in AI theories, represents the...
Conference Paper
Full-text available
During the last decade, cultural heritage has moved toward the encoding of information in semantic format. Ontolo-gies make the description of artworks clearer, unambiguous and often self-explanatory, with advantages in terms of interoper-ability. The use of ontologies also lends itself to visualization techniques that leverage the structure of sem...