Works by Thomas Bittner ( view other items matching `Thomas Bittner`, view all matches )

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  1. Thomas Bittner & M. Donnelly, A Temporal Mereology for Distinguishing Between Integral Objects and Portions of Stuff.
    In R. Holte and A. Howe (eds.), Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07).
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  2. Maureen Donnelly & Thomas Bittner (2009). Summation Relations and Portions of Stuff. Philosophical Studies 143 (2):167 - 185.
    According to the prevalent ‘sum view’ of stuffs, each portion of stuff is a mereological sum of its subportions. The purpose of this paper is to re-examine the sum view in the light of a modal temporal mereology which distinguishes between different varieties of summation relations. While admitting David Barnett’s recent counter-example to the sum view (Barnett, Philos Rev 113:89–100, 2004), we show that there is nonetheless an important sense in which all portions of stuff are sums of their subportions. (...)
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  3. Thomas Bittner (2008). Punishment for Criminal Attempts: A Legal Perspective on the Problem of Moral Luck. Canadian Journal of Philosophy 38 (1):pp. 51-83.
  4. Scott Woodcock, Frederick Kroon, Thomas Bittner & Peter Pagin (2008). Vulnerabilities of Morality. Canadian Journal of Philosophy 38 (1):pp. 141-159.
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  5. Thomas Bittner (2007). Consciousness: Essays From a Higher-Order Perspective - By Peter Carruthers. Philosophical Books 48 (1):84-86.
  6. Thomas Bittner, Maureen Donnelly & Barry Smith (2004). Endurants and Perdurants in Directly Depicting Ontologies. AI Com¬Munications 13 (4):247–258.
    We propose an ontological theory that is powerful enough to describe both complex spatio-temporal processes and the enduring entities that participate therein. For this purpose we introduce the notion a directly depicting ontology. Directly depicting ontologies are based on relatively simple languages and fall into two major categories: ontologies of type SPAN and ontologies of type SNAP. These represent two complementary perspectives on reality and employ distinct though compatible systems of categories. A SNAP (snapshot) ontology comprehends enduring entities such as (...)
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  7. Thomas Bittner, Maureen Donnelly & Barry Smith (2004). Individuals, Universals, Collections: On the Foundational Relations of Ontology. In Achille Varzi Laure Vieu (ed.), ”, Formal Ontology in Information Systems. Proceedings of the Third International Conference. IOS Press.
    This paper provides an axiomatic formalization of a theory of foundational relations between three categories of entities: individuals, universals, and collections. We deal with a variety of relations between entities in these categories, including the is-a relation among universals and the part-of relation among individuals as well as cross-category relations such as instance-of, member-of, and partition-of. We show that an adequate understanding of the formal properties of such relations – in particular their behavior with respect to time – is critical (...)
     
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  8. Thomas Bittner, Mauren Donnelly & Barry Smith (2004). Formal Ontology in Information Systems (FOIS).
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  9. Thomas Bittner & Barry Smith (2004). Proceedings of GMDS 2004.
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  10. Thomas Bittner & Barry Smith (2004). Normalizing Medical Ontologies Using Basic Formal Ontology. In Proceedings of GMDS 2004.
    Description Logics [1] are nowadays widely accepted as formalisms for implementing rigorous domain ontologies, and have been used in biomedicine in projects such as GONG [2] and SNOMED-CT [3]. A key feature of such ontologies is that the associated reasoning facilities allow us to discover inconsistencies and other problems in an automatic fashion. This is important since ontologies of complex domains such as medicine are large and complex and have been built by many people over long periods of time.
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  11. Thomas Bittner (2003). There Are No Matters of Opinion. Teaching Philosophy 26 (3):247-259.
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  12. Thomas Bittner & Barry Smith (2003). A Theory of Granular Partitions. In Foundations of Geographic Information Science. Taylor & Francis.
    We have a variety of different ways of dividing up, classifying, mapping, sorting and listing the objects in reality. The theory of granular partitions presented here seeks to provide a general and unified basis for understanding such phenomena in formal terms that is more realistic than existing alternatives. Our theory has two orthogonal parts: the first is a theory of classification; it provides an account of partitions as cells and subcells; the second is a theory of reference or intentionality; it (...)
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  13. Thomas Bittner & Barry Smith (2003). Granular Spatio-Temporal Ontologies. AAAI Symposium:12-17.
    We propose an ontological theory that is powerful enough to describe both complex spatio-temporal processes (occurrents) and the enduring entities (continuants) that participate therein. The theory is divided into two major categories of sub-theories: (sub-) theories of type SPAN and (sub-)theories of type SNAP. These theories represent two complementary perspectives on reality and result in distinct though compatible systems of categories. In SNAP we have enduring entities such as substances, qualities, roles, functions; in SPAN we have perduring entities such as (...)
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  14. Thomas Bittner (2001). A Taxonomy of Granular Partitions. In Spatial Information Theory. Foundations of Geographic Information Science. Lecture Notes in Computer Science 2205.
    In this paper we propose a formal theory of partitions (ways of dividing up or sorting or mapping reality) and we show how the theory can be applied in the geospatial domain. We characterize partitions at two levels: as systems of cells (theory A), and in terms of their projective relation to reality (theory B). We lay down conditions of well-formedness for partitions and we define what it means for partitions to project truly onto reality. We continue by classifying well-formed (...)
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  15. Thomas Bittner (2001). Spatial Information Theory. Foundations of Geographic Information Science. Lecture Notes in Computer Science 2205.
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  16. Thomas Bittner (1993). Probability and Infinite Sets. Cogito 7 (2):150-152.
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