6 found
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  1.  24
    A Toothful of Concepts: Towards a Theory of Weighted Concept Combination.Daniele Porello, Oliver Kutz, Guendalina Righetti, Nicolas Troquard, Pietro Galliani & Claudio Masolo - 2019 - In Mantas Simkus & Grant E. Weddell (eds.), Proceedings of the 32nd International Workshop on Description Logics, Oslo, Norway, June 18-21, 2019.
    We introduce a family of operators to combine Description Logic concepts. They aim to characterise complex concepts that apply to instances that satisfy \enough" of the concept descriptions given. For instance, an individual might not have any tusks, but still be considered an elephant. To formalise the meaning of \enough", the operators take a list of weighted concepts as arguments, and a certain threshold to be met. We commence a study of the formal properties of these operators, and study some (...)
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  2.  25
    Organisations and Variable Embodiments.Daniele Porello, Roberta Ferrario & Claudio Masolo - 2018 - In Stefano Borgo, Pascal Hitzler & Oliver Kutz (eds.), Formal Ontology in Information Systems - Proceedings of the 10th International Conference, {FOIS} 2018, Cape Town, South Africa, 19-21 September 2018. pp. 127--140.
    How can organisations survive not only the substitution of members, but also other dramatic changes, like that of the norms regulating their activities, the goals they plan to achieve, or the system of roles that compose them? This paper is as first step towards a well-founded ontological analysis of the persistence of organisations through changes. Our analysis leverages Kit Fine’s notions of rigid and variable embodiment and proposes to view the (history of the) decisions made by the members of the (...)
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  3.  80
    The Interplay Between Models and Observations.Claudio Masolo, Alessander Botti Benevides & Daniele Porello - 2018 - Applied Ontology 13 (1):41-71.
    We propose a formal framework to examine the relationship between models and observations. To make our analysis precise,models are reduced to first-order theories that represent both terminological knowledge – e.g., the laws that are supposed to regulate the domain under analysis and that allow for explanations, predictions, and simulations – and assertional knowledge – e.g., information about specific entities in the domain of interest. Observations are introduced into the domain of quantification of a distinct first-order theory that describes their nature (...)
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  4.  28
    A Cognitive View of Relevant Implication.Daniele Porello & Claudio Masolo - 2015 - In Antonio Lieto, Cristina Battaglino, Daniele P. Radicioni & Manuela Sanguinietti (eds.), Proceedings of the 3rd International Workshop on Artificial Intelligence and Cognition, Turin, Italy, September 28-29, 2015. pp. 40--53.
    Relevant logics provide an alternative to classical implication that is capable of accounting for the relationship between the antecedent and the consequence of a valid implication. Relevant implication is usually explained in terms of information required to assess a proposition. By doing so, relevant implication introduces a number of cognitively relevant aspects in the de nition of logical operators. In this paper, we aim to take a closer look at the cognitive feature of relevant implication. For this purpose, we develop (...)
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  5.  21
    Representing Concepts by Weighted Formulas.Daniele Porello & Claudio Masolo - 2018 - In Stefano Borgo, Pascal Hitzler & Oliver Kutz (eds.), Formal Ontology in Information Systems - Proceedings of the 10th International Conference, {FOIS} 2018, Cape Town, South Africa, 19-21 September 2018. IOS Press. pp. 55--68.
    A concept is traditionally defined via the necessary and sufficient conditions that clearly determine its extension. By contrast, cognitive views of concepts intend to account for empirical data that show that categorisation under a concept presents typicality effects and a certain degree of indeterminacy. We propose a formal language to compactly represent concepts by leveraging on weighted logical formulas. In this way, we can model the possible synergies among the qualities that are relevant for categorising an object under a concept. (...)
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  6.  24
    Understanding Predication in Conceptual Spaces.Daniele Porello & Claudio Masolo - 2016 - In Roberta Ferrario & Werner Kuhn (eds.), Formal Ontology in Information Systems. Proceedings of the Ninth International Conference (FOIS 2016). pp. 139--152.
    We argue that a cognitive semantics has to take into account the possibly partial information that a cognitive agent has of the world. After discussing Gärdenfors's view of objects in conceptual spaces, we offer a number of viable treatments of partiality of information and we formalize them by means of alternative predicative logics. Our analysis shows that understanding the nature of simple predicative sentences is crucial for a cognitive semantics.
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