76 found
Order:
  1. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): 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 context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  2. The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments.Antonio Lieto, Christian Lebiere & Alessandro Oltramari - 2018 - Cognitive Systems Research:1-42.
    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 be addressed in order to build arti cial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of the (...)
    Direct download  
     
    Export citation  
     
    Bookmark   22 citations  
  3. Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
    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 categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual (...)
    Direct download  
     
    Export citation  
     
    Bookmark   17 citations  
  4. A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics.Antonio Lieto & Gian Luca Pozzato - 2019 - Journal of Experimental and Theoretical Artificial Intelligence:1-39.
    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 equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality ALC + TR by typicality inclusions of the (...)
    Direct download  
     
    Export citation  
     
    Bookmark   11 citations  
  5. Beyond subgoaling: A dynamic knowledge generation framework for creative problem solving in cognitive architectures.Antonio Lieto - 2019 - Cognitive Systems Research 58:305-316.
    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 classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a mechanism for the (...)
    Direct download  
     
    Export citation  
     
    Bookmark   8 citations  
  6. A Description Logic of Typicality for Conceptual Combination.Antonio Lieto & Gian Luca Pozzato - 2018 - In Antonio Lieto & Gian Luca Pozzato (eds.), Proceedings of ISMIS 18. Springer.
    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 + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive heuristics for concept (...)
    Direct download  
     
    Export citation  
     
    Bookmark   8 citations  
  7. Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation.Antonio Lieto, Antonio Chella & Marcello Frixione - 2017 - Biologically Inspired Cognitive Architectures 19:1-9.
    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 connectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are (...)
    Direct download  
     
    Export citation  
     
    Bookmark   10 citations  
  8. A Computational Framework for Concept Representation in Cognitive Systems and Architectures: Concepts as Heterogeneous Proxytypes.Antonio Lieto - 2014 - Proceedings of 5th International Conference on Biologically Inspired Cognitive Architectures, Boston, MIT, Pocedia Computer Science, Elsevier:1-9.
    In this paper a possible general framework for the representation of concepts in cognitive artificial systems and cognitive architectures is proposed. The framework is inspired by the so called proxytype theory of concepts and combines it with the heterogeneity approach to concept representations, according to which concepts do not constitute a unitary phenomenon. The contribution of the paper is twofold: on one hand, it aims at providing a novel theoretical hypothesis for the debate about concepts in cognitive sciences by providing (...)
    Direct download  
     
    Export citation  
     
    Bookmark   8 citations  
  9. Representing Concepts in Formal Ontologies: Compositionality vs. Typicality Effects".Marcello Frixione & Antonio Lieto - 2012 - Logic and Logical Philosophy 21 (4):391-414.
    The problem of concept representation is relevant for many sub-fields of cognitive research, including psychology and philosophy, as well as artificial intelligence. In particular, in recent years it has received a great deal of attention within the field of knowledge representation, due to its relevance for both knowledge engineering as well as ontology-based technologies. However, the notion of a concept itself turns out to be highly disputed and problematic. In our opinion, one of the causes of this state of affairs (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  10. Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars.Antonio Lieto - 2018 - In Advances in Intelligent Systems and Computing, Springer. Springer.
    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 representation and reasoning. In particular, it provides a novel theoretical hypothesis - as well as a novel categorization algorithm called DELTA - showing how to integrate the representational and reasoning assumptions of the theory-theory (...)
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  11. Sono solo parole ChatGPT: anatomia e raccomandazioni per l’uso.Tommaso Caselli, Antonio Lieto, Malvina Nissim & Viviana Patti - 2023 - Sistemi Intelligenti 4:1-10.
  12. From human to artificial cognition and back: New perspectives on cognitively inspired AI systems.Antonio Lieto & Daniele Radicioni - 2016 - Cognitive Systems Research 39 (c):1-3.
    We overview the main historical and technological elements characterising the rise, the fall and the recent renaissance of the cognitive approaches to Artificial Intelligence and provide some insights and suggestions about the future directions and challenges that, in our opinion, this discipline needs to face in the next years.
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  13. On the Cognitive Parsimony of Paralogical Arguments and their Impact in Automated Persuasion: Findings and Lessons Learned for Building Automatic Counter-Arguers.Antonio Lieto - 2023 - In Online Lectures. pp. 1-14.
    Persuasive 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 argumentation schemas and on framing strategies. In discussing the (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  14. A Computational Model of Conceptual Heterogeneity and Categorization with Conceptual Spaces.Antonio Lieto - 2023 - Conceptual Spaces at Work 2023, Warsaw.
    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 argued in [Lieto et al., 2018b] a pivotal role in this respect is played (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  15. Higher-level Knowledge, Rational and Social Levels Constraints of the Common Model of the Mind.Antonio Lieto, William G. Kennedy, Christian Lebiere, Oscar Romero, Niels Taatgen & Robert West - forthcoming - Procedia Computer Science.
    In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve its goals" [22, (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  16. Dealing with Concepts: from Cognitive Psychology to Knowledge Representation.Marcello Frixione & Antonio Lieto - 2013 - Frontiers of Psychological and Behevioural Science 2 (3):96-106.
    Concept representation is still an open problem in the field of ontology engineering and, more generally, of knowledge representation. In particular, the issue of representing “non classical” concepts, i.e. concepts that cannot be defined in terms of necessary and sufficient conditions, remains unresolved. In this paper we review empirical evidence from cognitive psychology, according to which concept representation is not a unitary phenomenon. On this basis, we sketch some proposals for concept representation, taking into account suggestions from psychological research. In (...)
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  17. Human-like Knowledge Invention: A Non Monotonic Reasoning framework.Antonio Lieto - 2023 - In Model Based Reasoning Conference, 2023, Rome. Springer.
    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 computational creativity to goal-based reasoning to recommender systems and affective (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  18. Unveiling the link between logical fallacies and web persuasion.Antonio Lieto & Fabiana Vernero - 2013 - In ACM Proceedings of the 5th Web Science Conference, Paris. ACM.
    In the last decade Human-Computer Interaction (HCI) has started to focus attention on forms of persuasive interaction where computer technologies have the goal of changing users behavior and attitudes according to a predefined direction. In this work, we hypothesize a strong connection between logical fallacies (forms of reasoning which are logically invalid but cognitively effective) and some common persuasion strategies adopted within web technologies. With the aim of empirically evaluating our hypothesis, we carried out a pilot study on a sample (...)
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  19. The benefits of prototypes: The case of medical concepts.Cristina Amoretti, Marcello Frixione & Antonio Lieto - 2017 - Reti, Saperi E Linguaggi, The Italian Journal of Cognitive Sciences, 2017 3.
    In the present paper, we shall discuss the notion of prototype and show its benefits. First, we shall argue that the prototypes of common-sense concepts are necessary for making prompt and reliable categorisations and inferences. However, the features constituting the prototype of a particular concept are neither necessary nor sufficient conditions for determining category membership; in this sense, the prototype might lead to conclusions regarded as wrong from a theoretical perspective. That being said, the prototype remains essential to handling most (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  20. Ontologies, Mental Disorders and Prototypes.Maria Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 189-204.
    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 formalisms commonly adopted in this field do not allow for the representation of concepts in terms of typical traits. However, the need of representing concepts in terms of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  21. The Minimal Cognitive Grid: A Tool to Rank the Explanatory Status of Cognitive Artificial Systems.Antonio Lieto - 2022 - Proceedings of AISC 2022.
    Direct download  
     
    Export citation  
     
    Bookmark  
  22. Influencing the Others’ Minds: an Experimental Evaluation of the Use and Efficacy of Fallacious-reducible Arguments in Web and Mobile Technologies.Antonio Lieto & Fabiana Vernero - 2014 - PsychNology Journa 12 (3):87-105.
    The research in Human Computer Interaction (HCI) has nowadays extended its attention to the study of persuasive technologies. Following this line of research, in this paper we focus on websites and mobile applications in the e-commerce domain. In particular, we take them as an evident example of persuasive technologies. Starting from the hypothesis that there is a strong connection between logical fallacies, i.e., forms of reasoning which are logically invalid but psychologically persuasive, and some common persuasion strategies adopted within these (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  23. Analyzing the Explanatory Power of Bionic Systems With the Minimal Cognitive Grid.Antonio Lieto - 2022 - Frontiers in Robotics and AI 9.
    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 substitute (and therefore cannot be used (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  24. Cognitive Biases for the Design of Persuasive Technologies: Uses, Abuses and Ethical Concerns.Antonio Lieto - 2021 - ACM Distinguished Speakers - Lecture Series.
    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 mechanisms reducible to logical fallacies are (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  25. Some Epistemological Problems with the Knowledge Level in Cognitive Architectures.Antonio Lieto - 2015 - In Proceedings of AISC 2015, 12th Italian Conference on Cognitive Science, Genoa, 10-12 December 2015, Italy. NeaScience.
    This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing 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 daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an important (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  26. A Logic-based Tool for Dynamic Generation and Classification of Musical Content.Antonio Lieto - 2022 - In proceedings of AI*IA 2022. Springer LNCS. pp. 1-12.
    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 such new genres.
    Direct download  
     
    Export citation  
     
    Bookmark  
  27. An Explainable Affective Recommender based on the Commonsense Reasoning Framework TCL.Antonio Lieto - 2022 - AISC 2022.
    In 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 order to model human-like forms of concept (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  28. The role of mental rotation in TetrisTM gameplay: an ACT-R computational cognitive model.Antonio Lieto - 2022 - Cognitive Systems Research 40 (1):1-38.
    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 have shown contrasting results between the effectiveness of Tetris-based (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  29. Mappe concettuali vs ontologie. Un confronto sull'utilizzo di strumenti informatici per la didattica.Antonio Lieto & Francesco Vittorio Rebuffo - 2019 - In Cristiano Chesi (ed.), Atti dell'Associazione Italiana di Scienze Cogntitive. 27100 Pavia, Province of Pavia, Italy: pp. 4-7.
    Questo lavoro propone un confronto tra diversi strumenti utilizzabili per modellare la conoscenza di dominio in ambito didattico: le mappa concettuali, Novak e Cañas (2006), (uno strumento tradizionalmente utilizzato nelle scuole) e le ontologie computazionali (dei sistemi formali di modellazione concettuale, attualmente molto usati nei sistemi di intelligenza artificiale per le loro capacità di “ragionamento automatico”, si veda Guarino, (1995)). Nello specifico, questo articolo presenta il risultato di un un doppio esperimento sul campo condotto presso il Liceo Scientifico “Guido Parodi” (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  30. AISC 17 Talk: The Explanatory Problems of Deep Learning in Artificial Intelligence and Computational Cognitive Science: Two Possible Research Agendas.Antonio Lieto - 2018 - In Proceedings of AISC 2017.
    Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical problem (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  31. Il Ruolo delle Scienze Cognitive nell’Intelligenza Artificiale del Futuro.Antonio Lieto - 2019 - In Proceedings of Ital-IA. pp. 240-242.
    Questo contributo si propone di fornire uno spunto di riflessione, e una breve panoramica storica, sul ruolo che le scienze cognitive hanno giocato, e possono ancora giocare, nello sviluppo dei sistemi intelligenti di nuova generazione. Illustra, inoltre, le attività recenti che l’AISC (Associazione Italiana di Scienze Cognitive, di cui gli autori sono attualmente Vice-Presidente e Presidente) sta portando avanti per lo sviluppo di linee di ricerca nell’ambito dei sistemi artificiali di inspirazione cognitiva.
    Direct download  
     
    Export citation  
     
    Bookmark  
  32. Computational Models (of Narrative) for Literary Studies.Antonio Lieto - 2015 - Semicerchio, Rivista di Poesia Comparata 2 (LIII):38-44.
    In the last decades a growing body of literature in Artificial Intelligence (AI) and Cognitive Science (CS) has approached the problem of narrative understanding by means of computational systems. Narrative, in fact, is an ubiquitous element in our everyday activity and the ability to generate and understand stories, and their structures, is a crucial cue of our intelligence. However, despite the fact that - from an historical standpoint - narrative (and narrative structures) have been an important topic of investigation in (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  33. Cognitive Heuristics for Commonsense Thinking and Reasoning in the next generation Artificial Intelligence.Antonio Lieto - 2021 - SRM ACM Student Chapters.
    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 categorization and knowledge (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  34. Bounded Rationality and Heuristics in Humans and in Artificial Cognitive Systems.Antonio Lieto - 2019 - Isonomía. Revista de Teoría y Filosofía Del Derecho 1 (4):1-21.
    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 (...)
     
    Export citation  
     
    Bookmark  
  35. Heterogeneous Proxytypes as a Unifying Cognitive Framework for Conceptual Representation and Reasoning in Artificial Systems.Antonio Lieto - 2021 - In CARLA @FOIS Proceeding. Amsterdam, Netherlands: IOS Press.
    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 (thus extending its categorization capabilities) and, in addition, can provide useful insights in the context of (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  36. Invited ACM Lecture on Cognitive Heuristics for Commonsense Reasoning.Antonio Lieto - 2021 - ACM Invited Lectures.
    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.
    Direct download  
     
    Export citation  
     
    Bookmark  
  37. A Non Monotonic Reasoning framework for Goal-Oriented Knowledge Adaptation.Antonio Lieto, Federico Perrone, Gian Luca Pozzato & Eleonora Chiodino - 2019 - In Paglieri (ed.), Proceedings of AISC 2019. Rome: Università degli Studi di Roma Tre. pp. 12-14.
    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 our application of this logic, the (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  38. Cognitive Agents with Commonsense.Antonio Lieto - 2021 - I-Cog Talks.
    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 representation and processing mechanisms are not sufficiently (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  39. What cognitive research can do for AI: a case study.Antonio Lieto - 2020 - In AI*IA. Berlin: Springer. pp. 1-8.
    This paper presents a practical case study showing how, despite the nowadays limited collaboration between AI and Cognitive Science (CogSci), cognitive research can still have an important role in the development of novel AI technologies. After a brief historical introduction about the reasons of the divorce between AI and CogSci research agendas (happened in the mid’80s of the last century), we try to provide evidence of a renewed collaboration by showing a recent case study on a commonsense reasoning system, built (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  40. Knowledge re-combination and invention as key features for commonsense reasoning and computational creativity research.Antonio Lieto - 2020 - In ECAI 2020 Worskhop "ARTIFICIAL AND HUMAN INTELLIGENCE FORMAL AND COGNITIVE FOUNDATIONS FOR HUMAN-CENTRED COMPUTING".
    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 both in the task of goal-driven concept invention [2,3] (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  41. Commonsense reasoning as a key feature for dynamic knowledge invention and computational creativity.Antonio Lieto - 2020 - ICAR-MEET 2020.
    Inventing 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 in a human-like fashion. The proposed approach has (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  42. Cognitive Modelling and Conceptual Spaces.Antonio Lieto - 2021 - Airbus Invited Talks on Cognitive Modelling.
    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., 2018a] a pivotal role in this respect is played by the (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  43. On the Impact of Fallacy-based Schemata and Framing Techniques in Persuasive Technologies.Antonio Lieto & Vernero Fabiana - 2020 - Cognititar Workshop @ECAI 2020.
    Persuasive technologies can adopt several strategies to change the attitudes and behaviors of their users. In this work we present some empirical results stemming from the hypothesis - firstly formulated in [3] - that there is a strong connection between some well known cognitive biases reducible to fallacious argumentative schemata and some of the most common persuasion strategies adopted within digital technologies. In particular, we will report how both framing and fallacious-reducible mechanisms are nowadays used to design web and mobile (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  44. AISC 2018 - Extended Abstract Pavia - December 2018.Fabrizio Calzavarini & Antonio Lieto - forthcoming - In Cristiano Chesi (ed.), AISC Proceedings, Pavia. pp. 20-23.
    Extended abstract presented at the AISC 2018 Conference, 15th International Conference of the Italian Association of Cognitive Science, Pavia.
    Direct download  
     
    Export citation  
     
    Bookmark  
  45. Lecture @ EASE Fall School on Cognition-enabled Robotics.Antonio Lieto - 2022 - EASE Fall School, University of Bremen.
    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 architectures (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  46. A System for Automatic Emotion Attribution based on a Commonsense Reasoning Framework.Antonio Lieto - 2021 - In Proceedings of AISC Graduate Conference. Roma RM, Italia: pp. 1-8.
    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.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  47. La modellizzazione computazionale della competenza inferen-ziale e della competenza referenziale.Fabrizio Calzavarini & Antonio Lieto - forthcoming - Sistemi Intelligenti.
    In philosophy of language, a distinction has been proposed by Diego Marconi between two aspects of lexical competence, i.e. referential and inferential competence. The former accounts for the relation-ship of words to the world, the latter for the relationship of words among themselves. The aim of the pa-per is to offer a critical discussion of the kind of formalisms and computational techniques that can be used in Artificial Intelligence to model the two aspects of lexical competence, and of the main (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  48. Ontologies, Disorders and Prototypes.Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo - 2016 - In Cristina Amoretti, Marcello Frixione, Antonio Lieto & Greta Adamo (eds.), Proceedings of IACAP 2016.
    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 formalisms commonly adopted in this field (such as, in the first place, the Web Ontology Language - OWL) do not allow for the representation of concepts in terms (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  49. Machines with human-like commonsense.Antonio Lieto - 2021 - 18th Japanese Society for Artificial Intelligence General-Purpose Artificial Intelligence Meeting Group (SIG-AGI).
    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 will show how such aspects are better dealt with (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  50. The computational modeling of inferential and referential competence.Fabrizio Calzavarini & Antonio Lieto - 2018 - In Fabrizio Calzavarini & Antonio Lieto (eds.), AISC 2018 Proceedings.
1 — 50 / 76