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143A 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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251Persuasive 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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127Inventing 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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238A 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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113Lecture @ 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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149In 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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189The Minimal Cognitive Grid: A Tool to Rank the Explanatory Status of Cognitive Artificial SystemsProceedings of AISC 2022. 2022.
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193Analyzing 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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366The role of mental rotation in TetrisTM gameplay: an ACT-R computational cognitive modelCognitive Systems Research 40 (1): 1-38. 2022.The mental rotation ability is an essential spatial reasoning skill in human cognition 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 tasks. In particular, the relationship between spatial abilities and TetrisTM has been analysed several times in the literature. However, these analyses…Read more
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179This 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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257Cognitive 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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161Machines 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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130Cognitive 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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142Functional 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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138A 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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146Invited 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.
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 |