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Understanding Predication in Conceptual Spaces

In Roberta Ferrario & Werner Kuhn (eds.), Formal Ontology in Information Systems. Proceedings of the Ninth International Conference (FOIS 2016). pp. 139--152 (2016)

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  1. 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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  • Technical Artefact Theories: A Comparative Study and a New Empirical Approach.Claudio Masolo & Emilio M. Sanfilippo - 2020 - Review of Philosophy and Psychology 11 (4):831-858.
    Embracing an inter-disciplinary approach grounded on Gärdenfors’ theory of conceptual spaces, we introduce a formal framework to analyse and compare selected theories about technical artefacts present in the literature. Our focus is on design-oriented approaches where both designing and manufacturing activities play a crucial role. Intentional theories, like Kroes’ dual nature thesis, are able to solve disparate problems concerning artefacts but they face both the philosophical challenge of clarifying the ontological nature of intentional properties, and the empirical challenge of testing (...)
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  • Towards a Cognitive Semantics of Type.Daniele Porello & Giancarlo Guizzardi - 2017 - In AI*IA 2017 Advances in Artificial Intelligence - XVIth International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, November 14-17, 2017, Proceedings. Lecture Notes in Computer Science 10640. pp. 428-440.
    Types are a crucial concept in conceptual modelling, logic, and knowledge representation as they are an ubiquitous device to un- derstand and formalise the classification of objects. We propose a logical treatment of types based on a cognitively inspired modelling that ac- counts for the amount of information that is actually available to a cer- tain agent in the task of classification. We develop a predicative modal logic whose semantics is based on conceptual spaces that model the ac- tual information (...)
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