Antonio Lieto

Università degli Studi di Salerno | UNISA

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...

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...

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...

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....

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...

Institute 2024 on Artificial and Human Intelligence brings together research methodologies and perspectives from Artificial Intelligence, Cognitive Science, Neuroscience, Psychology & Human Development, Human-Computer Interaction, and Design Science. The institute addresses: - formal and computational foundations of next-generation AI and cognitiv...

In this work we focus on extensions of Description Logics (DLs) of typicality by means of probabilities. We introduce a novel extension of the logic of typicality $\mathcal{ALC}+\mathbf{T}_{\mathbf{R}}$, able to represent and reason about typical properties and defeasible inheritance in DLs. The novel logic ($\mathcal{ALC}\mathbf{T}^{\textsf{P}}$:...

The EU H2020 project SPICE (Social cohesion, Participation, and Inclusion through Cultural Engagement) focuses on developing, designing, and implementing new methods and digital tools for citizen curation. This paper delineates several software tools developed within the project, presenting innovative approaches to represent and visualize citizens...

In this paper we report the result of an analysis aiming at investigating, among different virtually embodied social robots (endowed with different degrees of dialogical complexity), the perceived difference in emotion attribution and understanding by the human users interacting with them. In particular, in our case study, the most complex dialogic...

This chapter comprises selected short and extended abstracts of invited talks and discussion panels that took place at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, also known as the 14th Annual Meeting of the BICA Society (BICA*AI 2023), held in Ningbo, China during October 13–15, 2...

The amount of news on the web often confuses the ideas of the reader, who struggles to disentangle information that is sometimes contradictory and difficult to decipher. In the face of such an articulated scenario, the role played by schools is absolutely central: the development of critical thinking in young people (and by extension in their famil...

This chapter comprises selected short and extended abstracts of invited talks and discussion panels that took place at BICA*AI'23

The paper presents a combined approach to knowledge-based emotion attribution and classification of cultural items employed in the H2020 EU project SPICE (Social cohesion, Participation, and Inclusion through Cultural Engagement) 1. In particular, we describe an experimentation conducted on a selection of items contributed by the virtual museum (Po...

This paper presents an experimental study showing that the humanoid robot NAO, in a condition already validated with regards to its capacity to trigger situational empathy in humans, is able to stimulate the attribution of mental states towards itself. Indeed, results show that participants not only experienced empathy towards NAO, when the robot w...

This article presents an affective-based sensemaking system for grouping and suggesting stories created by the users about the cultural artefacts in a museum. By relying on the TCL commonsense reasoning framework, the system exploits the spatial structure of the Plutchik’s “wheel of emotions” to organize the stories according to their extracted emo...

This paper presents a framework based on natural language processing and first-order logic aiming at instantiating cognitive chatbots. The proposed framework leverages two types of knowledge bases interacting with each other in a meta-reasoning process. The first one is devoted to the reactive interactions within the environment, while the second o...

This article presents an affective based sensemaking system for grouping and suggesting stories created by the users about the items of a museum. By relying on the TCL commonsense reasoning framework1, the system exploits the spatial structure of the Plutchik's wheel of emotions to organize the stories according to their extracted emotions. The pro...

We exploit the Description Logic T CL in order to develop a diversity-seeking affective recommender system. The tool DEGARI 2.0 (Dynamic Emotion Generator And ReclassIfier) is an explainable, affective-based, art recommender that allows to classify and to suggest, to museum users, cultural items able to evoke not only the very same emotions of alre...

D6.3 Prototype of Knowledge based Support - SPICE Project

0000−0002−8323−8764] , Gian Luca Pozzato 1()[0000−0002−3952−4624] Abstract. In this work we present NERVOUS, an intelligent recommender system exploiting a probabilistic extension of a Description Logic of typicality to dynamically generate novel contents in AllMusic, a comprehensive and in-depth resource about music, providing data about albums, b...

We present DEGARI 2.0 (Dynamic Emotion Generator And ReclassIfier): an ex-plainable, affective-based, art recommender relying on the commonsense reasoning framework T CL and exploiting an ontological model formalizing the Plutchik's theory of emotions. The main novelty of this system relies on the development of diversity-seeking affective recommen...

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...

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...

This document describesthree prototypes of Knowledge-based sensemaking tools namely DEGARI, Thematic Reasoner and Value Reasoner. Such tools are the fundamental building blocks of the Intelligence Layer envisioned in the DeliverableD4.1 and an important technical asset for supporting of the interpretation-reflection loop (Deliverables D2.1 and D2.2...

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...

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...

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...

In this paper, we propose the use of narrative archetypes for supporting the creation of effective exploratory search tools for archives. For example, a path can be created through items that display characters of the same story, or the same story events. By embedding the archetypes in a semantic sys- tem for archive navigation, we tested their eff...

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....

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...

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...

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...

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...

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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,...

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,...

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.

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...

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 , based on the notion of rational closure, by inclusions (“we have probability p that typical Cs are Ds”), coming from...

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...

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...

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...

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...

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...

http://ceur-ws.org/Vol-2050/

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...

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...

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...

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...

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...

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...