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Common Sense Reasoning about Parts and Wholes

Andrea Schalley

Pages 152 - 160

The analysis of types of part-whole relations in common sense reasoning is focused on the question how people in their everyday reasoning conceptualize and categorize partwhole relationships. This question is related to, but as such distinct from, the diversity of part-whole relationships defined by formal mereological systems. By the same token, the question is not which or how different types of part-whole relations are explicitly coded linguistically (e.g., grammatically or lexically) across languages. Of course, language is an important part of human behaviour and hence linguistic coding does certainly provide us with information about common-sense reasoning of partwhole relations. But one should not assume a one-to-one mapping between linguistic coding and conceptualisation of part-whole relational types. In addition to linguistics, there are other sources of information about common-sense reasoning of part-whole relations. These can be found in disciplines such as psychology, knowledge representation and artificial intelligence, fields of investigation that are concerned with the behaviour of animate and artificial agents. Yet, research on part-whole relations in common-sense reasoning has primarily been based on inferential intuitions of the researchers. There is a definite desideratum of empirical investigations in this area.

1Department of Language, Literature and Intercultural Studies, Karlstad University

1 Knowledge Engineering 20 (3), 347-383.

2 Beavers, J., (2008). “Scalar Complexity and the Structure of Events”, in Dölling, J.; Heyde-Zybatow, T.; Schäfer, M. (eds.) Event Structures in Linguistic Form and Interpretation, Berlin: de Gruyter, 245-267.

3 Beavers, J., (2012), “Lexical Aspect and Multiple Incremental Themes” in Demonte V.; McNally, L. (eds.) Telicity, Change, and State: A Cross-Categorial View of Event Structure, Oxford: Oxford University Press, 23-59.

4 Bertinetto, P. M.; Bianchi, V.; Higginbotham, J.; Squartini, M. (eds.) (1995a), Temporal Reference, Aspect and Actionality. I: Semantic and Syntactic Perspectives, Torino: Rosenberg & Sellier.

5 Bertinetto, P. M.; Bianchi, V.; Dahl, Ö; Squartini, M. (eds.) (1995b), Temporal Reference, Aspect and Actionality. II: Typological Perspectives, Torino: Rosenberg & Sellier.

6 Cruse, D. A., (1979), “On the Transitivity of the Part-Whole Relation”, Journal of Linguistics 15: 29-38.

7 Cruse, D. A., (1986), Lexical Semantics, Cambridge: Cambridge University Press.

8 Dowty, D. R., (1979), Word Meaning and Montague Grammar: The Semantics of Verbs and Time in Generative Semantics and Montague’s PTQ, Dordrecht/Boston/London: Kluwer.

9 Egg, M., (1994), Aktionsart und Kompositionalität. Zur kompositionellen Ableitung der Aktionsart komplexer Kategorien. Berlin: Akademie.

10 Gerstl, P.; Pribbenow, S., (1995), “Midwinters, End Games, and Body Parts: A Classification of Part-Whole Relations”, International Journal of Human-Computer Studies 43 (5/6): 865-889.

11 Gerstl, P. & S. Pribbenow, (1996), “A Conceptual Theory of Part-Whole Relations and its Applications”, Data & Knowledge Engineering 20 (3): 305-322.

12 Henderson-Sellers, B.; Barbier, F., (1999a), “Black and White Diamonds” in France R.; Rumpe, B. (eds.) UML’99 – The Unified Modeling Language. Beyond the Standard. Second International Conference, Proceedings, Berlin/Heidelberg: Springer, 550-565.

13 Henderson-Sellers, B.; Barbier, F., (1999b), “What is this Thing Called Aggregation?” in Mitchell, R.; Wills, A. C.; Bosch, J.; Meyer, B. (eds.) Technology of Object-Oriented Languages and Systems (TOOLS 29), Proceedings, Los Alamitos: IEEE Computer Society, 236-250.

14 Iris, M. A.; Litowitz B. E.; Evens, M. W., (1988), “Problems of the Part-Whole Relation” in Evens, M. W. (ed.) Relational Models of the Lexicon. Representing Knowledge in Semantic Networks, Cambridge: Cambridge University Press, 261-288.

15 Keet, C. M.; Artale, A., (2008), “Representing and Reasoning over a Taxonomy of Part-Whole Relations”, Applied Ontology 3 (1): 91-110.

16 Lyons, J., (1977), Semantics 1. Cambridge: Cambridge University Press.

17 Markman, E. M., (1981), “Two Different Principles of Conceptual Organization”, in Lamb M. E.; Brown, A. L., (eds.) Advances in Developmental Psychology, Vol. 1, Hillsdale, NJ: Erlbaum, 199-236.

18 Nagel, N., (1961), The Structure of Science: Problems in the Logic of Scientific Explanation, New York: Harcourt, Brace & World.

19 Saksena, M.; Larrondo-Petrie, M.; France, R.; Evett, M., (1998), “Extending Aggregation Constructs in UML”, in Bézivin, J.; Muller, P.-A. (eds.) The Unified Modeling Language, UML’98 – Beyond the Notation, Berlin/Heidelberg: Springer, 273-280.

20 Schalley, A. C., (2004), Cognitive Modeling and Verbal Semantics, Berlin/New York: Mouton de Gruyter.

21 Schalley, A. C., (2014), “Objectorientation and the Semantics of Verbs”, in Robering, K. (ed.) Events, Arguments, and Aspects – Topics in the Semantics of Verbs. Amsterdam/Philadelphia: John Benjamins, 159-186.

22 Sharvy, R., (1983), “Aristotle on Mixtures”, The Journal of Philosophy 80 (8): 439-456.

23 Simons, P.; Dement, C., (1996), “Aspects of the Mereology of Artifacts”, in Poli, R.; Simons, P. (eds.) Formal Ontology, Dordrecht: Kluwer, 255-276.

24 Smith, C. S., (1997), The Parameter of Aspect, 2nd ed., Dordrecht: Kluwer.

25 Vendler, Z., (1967), “Verbs and Times” in Z. Vendler (ed.) Linguistics in Philosophy, Ithaca, NY: Cornell University Press, 97-121.

26 Winston, M. E., Chaffin, R.; Herrmann, D. J.;, (1987), “A Taxonomy of Part-Whole Relations”, Cognitive Science 11 (4): 417-444.

27 Zaefferer, D., (2002), “Polysemy, Polyvalence, and Linking Mismatches. The Concept of RAIN and its Codings in English, German, Italian, and Spanisch”, DELTA – Documentação de Estudos em Lingüística Téorica e Aplicada 18 (spe.): 27-56. Special Issue: Polysemy.


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