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222Cognitive Biases for the Design of Persuasive Technologies: Uses, Abuses and Ethical ConcernsACM Distinguished Speakers - Lecture Series. 2021.In the last decades Human-Computer Interaction (HCI) has started to focus attention on “persuasive technologies” having the goal of changing users’ behavior and attitudes according to a predefined direction. In this talk we show how some of the techniques employed in such technologies trigger some well known cognitive biases by adopting a strategy relying on logical fallacies (i.e. forms of reasoning which are logically invalid but psychologically persuasive). In particular, we will show how the…Read more
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207In questo contributo descriviamo un sistema di creatività computazionale in grado di generare automaticamente nuovi concetti utilizzando una logica descrittiva non monotòna che integra tre ingredienti principali: una logica descrittiva della tipicalità, una estensione probabilistica basata sulla semantica distribuita nota come DISPONTE, e una euristica di ispirazione cognitiva per la combinazione di più concetti. Una delle applicazioni principali del sistema riguarda il campo della creatività co…Read more
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204Combining typical knowledge to generate novel concepts is an important creative trait of human cognition. Dealing with such ability requires, from an AI perspective, the harmonization of two conflicting requirements that are hardly accommodated in symbolic systems: the need of a syntactic compositionality (typical of logical systems) and that one concerning the exhibition of typicality effects (see Frixione and Lieto, 2012). In this work we provide a logical framework able to account for this ty…Read more
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201A Non Monotonic Reasoning framework for Goal-Oriented Knowledge AdaptationIn Paglieri (ed.), Proceedings of AISC 2019, Università Degli Studi Di Roma Tre. pp. 12-14. 2019.In this paper we present a framework for the dynamic and automatic generation of novel knowledge obtained through a process of commonsense reasoning based on typicality-based concept combination. We exploit a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts in order to generate new prototypical concepts and deal with problem like the PET FISH (Osherson and Smith, 1981; Lieto & Pozzato, 2019). Intuitively, in the context of o…Read more
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199Persuasive technologies can adopt several strategies to change the attitudes and behaviors of their users. In this work I synthesize the lessons learned from three empirical case studies on automated persuasion that have been carried out in the last decade in the contexts of: persuasive news recommendations, social robotics, and e-commerce, respectively. In particular, such studies have assessed, in the technological domain, the effects of nudging techniques relying on well known persuasive argu…Read more
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193Non classical concept representation and reasoning in formal ontologiesDissertation, Università degli Studi di Salerno. 2012.Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the sea…Read more
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193A Logic-based Tool for Dynamic Generation and Classification of Musical ContentIn proceedings of AI*IA 2022, Springer Lncs. pp. 1-12. 2022.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, bands, musicians and songs. The tool can be used for both the generation of novel music genres and styles, described by a set of typical properties characterizing them, and the reclassification of the available songs within suc…Read more
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182AISC 2018 - Extended Abstract Pavia - December 2018In Cristiano Chesi (ed.), AISC Proceedings, Pavia.. pp. 20-23. forthcoming.Extended abstract presented at the AISC 2018 Conference, 15th International Conference of the Italian Association of Cognitive Science, Pavia.
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163The Minimal Cognitive Grid: A Tool to Rank the Explanatory Status of Cognitive Artificial SystemsProceedings of AISC 2022. 2022.
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161Analyzing the Explanatory Power of Bionic Systems With the Minimal Cognitive GridFrontiers in Robotics and AI 9. 2022.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 and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitu…Read more
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153Knowledge re-combination and invention as key features for commonsense reasoning and computational creativity researchIn ECAI 2020 Worskhop "ARTIFICIAL AND HUMAN INTELLIGENCE FORMAL AND COGNITIVE FOUNDATIONS FOR HUMAN-CENTRED COMPUTING". 2020.Dynamic conceptual reframing represents a crucial mechanism employed by humans, and partially by other animal species, to generate novel knowledge used to solve complex goals. In this talk, I will present a reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion [1]. The proposed approach has been tested…Read more
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149Cognitive Heuristics for Commonsense Thinking and Reasoning in the next generation Artificial IntelligenceSRM ACM Student Chapters. 2021.Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this talk, we discuss the different paradigms that have been developed in AI and Computational Cognitive Science to deal with this problem (ranging from logic-based methods, to diagrammatic-based ones). In particular, we discuss - via two different case studies concerning commonsense …Read more
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144A System for Automatic Emotion Attribution based on a Commonsense Reasoning FrameworkIn Proceedings of AISC Graduate Conference. pp. 1-8. 2021.This work describes an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework
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142Machines with human-like commonsense18th Japanese Society for Artificial Intelligence General-Purpose Artificial Intelligence Meeting Group (SIG-AGI). 2021.I will review the main problems concerning commonsense reasoning in machines and I will present resent two different applications - namaly: the Dual PECCS linguistic categorization system and the TCL reasoning framework that have been developed to address, respectively, the problem of typicality effects and the one of commonsense compositionality, in a way that is integrated or compliant with different cognitive architectures thus extending their knowledge processing capabilities In doing so I …Read more
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139Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this talk, I will show how commonsense reasoning plays a crucial role in this respect. In particular, I will present a cognitively inspired reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts i…Read more
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130Invited ACM Lecture on Cognitive Heuristics for Commonsense ReasoningACM Invited Lectures. 2021.Invited Lecture at the SRM ACM Student Chapter, India, on Cognitive Heuristics for Commonsense Thinking and Reasoning in the next generation Artificial Intelligence. The lecture proposes a historical and technical overview of strategies for commonsense reasoning in AI.
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129Bounded Rationality and Heuristics in Humans and in Artificial Cognitive SystemsIsonomía. Revista de Teoría y Filosofía Del Derecho 1 (4): 1-21. 2019.In this paper I will present an analysis of the impact that the notion of “bounded rationality”, 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 dimension into the study of choice of a rational (natural) agent, indirectly determined - in the AI field - the development of a line of research aiming at…Read more
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128Cognitive Agents with CommonsenseI-Cog Talks. 2021.Commonsense reasoning is a crucial human ability employed in everyday tasks. In this talk I provide a knowledge level analysis of the main representational and reasoning problems affecting the cognitive architectures for what concerns this issue. In providing this analysis I will show, by considering some of the main cognitive architectures currently available (e.g. SOAR, ACT-R, CLARION), how one of the main problems of such architectures is represented by the fact that their knowledge represent…Read more
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125Heterogeneous Proxytypes as a Unifying Cognitive Framework for Conceptual Representation and Reasoning in Artificial SystemsIn CARLA @FOIS Proceeding, Ios Press. 2021.The paper presents the heterogeneous proxytypes hypothesis as a cognitively-inspired computational framework able to reconcile, in both natural and artificial systems, different theories of typicality about conceptual representation and reasoning that have been traditionally seen as incompatible. In particular, through the Dual PECCS system and its evolution, it shows how prototypes, exemplars and theory-theory like conceptual representations can be integrated in a cognitive artificial agent (th…Read more
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121Functional and Structural Models of Commonsense Reasoning in Cognitive ArchitecturesVISCA 2021 - 2nd Virtual International Symposium on Cognitive Architecture. 2021.I will present two different applications - Dual PECCS and the TCL reasoning framework - addressing some crucial aspects of commonsense reasoning (namely: dealing with typicality effects and with the problem of commonsense compositionality) in a way that is integrated or compliant with different cognitive architectures. In doing so I will show how such aspects are better dealt with at different levels of representation and will discuss the adopted solution to integrate such representational laye…Read more
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118A 3rd person Knowledge Level analysis of cognitive architectures: problems, challenges, and future directionsUnipa Invited Seminars. 2021.A 3rd person Knowledge Level analysis of cognitive architectures Abstract I provide a knowledge level analysis of the main representational and reasoning problems affecting the cognitive architectures for what concerns this issue. In providing this analysis I will show, by considering some of the main cognitive architectures currently available (e.g. SOAR, ACT-R, CLARION), how one of the main problems of such architectures is represented by the fact that their knowledge representation and proces…Read more
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110Cognitive Modelling and Conceptual SpacesAirbus Invited Talks on Cognitive Modelling. 2021.I will present the rationale followed for the conceptualization and the following development the Dual PECCS system that relies on the cognitively grounded heterogeneous proxytypes representational hypothesis. Such hypothesis allows integrating exemplars and prototype theories of categorization and has provided useful insights in the context of cognitive modelling for what concerns the typicality effects in categorization. As argued in [Chella et al., 2017] [Lieto et al., 2018b] [Lieto et al., 2…Read more
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109In this work we present an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework (i.e. the TCL logic, see Lieto & Pozzato 2020) which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base (see also Lieto et al. 2019, Chiodino et al. 2020 for other applications). In particular, in orde…Read more
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109A Computational Model of Conceptual Heterogeneity and Categorization with Conceptual SpacesConceptual Spaces at Work 2023, Warsaw. 2023.I will present the rationale followed for the conceptualization and the following development the Dual PECCS system that relies on the cognitively grounded heterogeneous proxytypes representational hypothesis [Lieto 2014]. Such hypothesis allows integrating exemplars and prototype theories of categorization as well as theory-theory [Lieto 2019] and has provided useful insights in the context of cognitive modelling for what concerns the typicality effects in categorization [Lieto, 2021]. As argue…Read more
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96Human-like Knowledge Invention: A Non Monotonic Reasoning frameworkIn Model Based Reasoning Conference, 2023, Rome, Springer. 2023.Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computat…Read more
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85Lecture @ EASE Fall School on Cognition-enabled RoboticsEASE Fall School, University of Bremen. 2022.Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals. In this lecture, I will present the TCL reasoning framework that has been developed to address the problem of dynamic, goal-directed, knowledge invention and will show how it has been applied to different case studies and applications in the areas of cognitive robotics, cognitive archite…Read more
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38Artificial Intelligence and Cognition. Proceedings of the First International Workshop AIC 2013. (edited book)CEUR Workshop Proceedings. 2013.Proceedings of the Workshop on AI and Cognition
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23Formal Ontologies and Semantic Technologies: A “Dual Process” Proposal for Concept RepresentationPhilosophia Scientiae 18 139-152. 2014.Pour la plupart des systèmes de représentation de la connaissance orientés concept, l’un des problèmes principaux relève de la commodité technique. A savoir, la représentation de connaissance en termes prototypiques, tout comme la possibilité d’exploiter des formes de raisonnement conceptuel basées sur la typicalité, ne sont pas autorisées. Au contraire, dans les sciences cognitives, il existe des données en faveur de concepts prototypiques, et des formes non-monotoniques de raisonnement concept…Read more
Università degli Studi di Salerno
PhD, 2012
Turin, Piedmont, Italy
Areas of Specialization
Epistemology |
Philosophy of Mind |
Logic and Philosophy of Logic |
Philosophy of Cognitive Science |