Abstract
This paper is concerned with the conceptual foundations of pragmatic reasoning (context-dependent reasoning). A general pragmatic semantics (a semantic analysis which includes a pragmatic parameter) is given for pragmatic reasoning, the logical properties of the various forms of pragmatic reasoning are discussed, as are many examples. The semantic pragmatics (the general study of choosing or inferring appropriate contexts) for pragmatic reasoning is then discussed, with illustrations from common sense reasoning and scientific reasoning.
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References
J. Bell (1991) Pragmatic Logics. Proc. KR’91, Morgan Kaufmann, San Mateo, California, pp. 50–60.
J. Bell (1995) Pragmatic Reasoning; A Model-Based Theory. J. Bell. In: Applied Logic: How, What, and Why?, L. Pólos and M. Masuch (Eds.), Kluwer Academic Publishers. Amsterdam, pp. 1–28.
J. Bell (1999) Pragmatic Reasoning: Inferring Contexts. Proc. Context’99. P. Bouquet et al. (Eds.), Lecture Notes in Artificial Intelligence 1688, Springer, Berlin, pp. 42–53.
J. Bell (2000) Primary and Secondary Events. Submitted to Electronic Transactions on Artificial Intelligence.
J. Bell (2001) Causal Counterfactuals. To be presented at Common Sense-2001.
J. Bell. (Forthcoming) Goodman’s paradox and inductive logic.
J. Bell and Z. Huang (1997) Dynamic Goal Hierarchies. In: Intelligent Agent Systems: Theoretical and Practical Issues. L. Cavedon, A. Rao, W. Wobcke (Eds.), Lecture Notes in Artificial Intelligence 1027. Springer, Berlin, pp. 88–103.
J. Bell and Z. Huang (1999) Dynamic Obligation Hierarchies. In: Norms, Logics and Information Systems: New Studies in Deontic Logic and Computer Science, P. McNamara and H. Prakken (Eds.), Ios Press, Amsterdam, 1999, pp. 231–246.
J. Bell and Z. Huang (1999) Dynamic Belief Hierarchies. In: Formal Models of Agents, J.J. Meyer and P-Y. Schobbens (Eds.), Lecture Notes in Artificial Intelligence 1760, Springer, Berlin, pp. 20–32.
J. Bell and Z. Huang (1999) Seeing is believing: A common sense theory of the adoption of perception-based beliefs. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 13, pp. 133–140.
S. Buvac and A. Mason (1993) Propositional logic of context. Proc. AAAI-93.
D.M. Gabbay (1985) Theoretical foundations for non-monotonic reasoning in expert systems. In: K.R. Apt (Ed.) proceedings of the NATO Advanced Study Institute on Logics and Models of Concurrent Systems, Springer, Berlin, 1985.
F. Giunchiglia and C. Ghidini (1998) Local models semantics, or contextual reasoning = Locality + compatibility. Proc. KR’98, pp. 282–289.
N. Goodman (1955) Fact, Fiction and Forecast, 4th Edition, Harvard University Press, Cambridge, Mass.
P. Grice (1989) Studies in the Way of Words, Harvard University Press, Cambridge, Mass.
S. Hanks and D. McDermott (1987) Nonmonotonic logic and temporal projection. Artificial Intelligence 33, pp. 379–412.
C.G. Hempel (1943) A Purely Syntactical Definition of Confirmation, Journal of Symbolic Logic, 8 pp. 122–143.
H. Kamp and U. Reyle (1993) From Discourse to Logic; Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory, Kluwer Academic Publishers, Dordrecht.
D. Kaplan (1978) On the logic of demonstratives. Journal of Philosophical Logic 8, pp. 81–98.
S.C. Kleene (1952) Introduction to Metamathematics. North-Holland, Amsterdam.
S. Kraus, D. Lehmann and M. Magidor (1990) Nonmonotonic reasoning, preferential models and cumulative logics. Artificial Intelligence 44, pp. 167–207.
S. Kripke (1963) Semantical considerations on modal logic. Acta Philosophica Fennica 16, pp. 83–94.
D. Lehmann and M. Magidor (1992) What does a conditional knowledge base entail? Artificial Intelligence 55, pp. 1–60.
D. Lewis (1973) Counterfactuals. Basil Blackwell, Oxford.
D. Makinson (1989) General theory of cumulative inference. In: M. Reinfrank, J. de Kleer, M. Ginsberg and E. Sandewall (Eds.) Non-Monotonic Reasoning, Springer LNAI 346, Berlin.
D. Makinson (1994) General Patterns in Nonmonotonic Reasoning. In: Handbook of Logic in Artificial Intelligence and Logic Programming, D.M. Gabbay, C. J. Hogger and J.A. Robinson (Eds.), Vol. 3, pp. 35–110.
J. McCarthy (1980) Circumscription-A Form of Nonmonotonic Reasoning, Artificial Intelligence 13, pp. 27–39.
J. McCarthy (1993) Notes on formalizing context. Proc. IJCAI’93, pp. 555–560.
R. Montague (1970) Pragmatics and intensional logic. Synthese 22, pp. 68–94.
H. Putnam. Much Ado About Not Very Much (1988) In: The Artificial Intelligence Debate, S.R. Graubard (Ed.), MIT Press, Cambridge, Mass.
R. Reiter (1980) A logic for default reasoning. Artificial Intelligence 13, pp. 81–132.
Y. Shoham (1987) Nonmonotonic Logics: Meaning and Utility. In: Proc. IJCAI’87, pp. 23–28.
Y. Shoham (1988) Reasoning About Change, M.I.T.Press, Cambridge Mass.
R.C. Stalnaker (1975) A theory of conditionals. In Causation and Conditionals, E. Sosa (Ed.), Oxford University Press, Oxford, 1975, pp. 165–179. First published in N. Rescher (Ed.) Studies in Logical Theory, Basil Blackwell, Oxford, 1968.
R.C. Stalnaker (1998) On the Representation of Context, Journal of Logic, Language and Information, 7(1), 1998, pp. 3–19.
R.C. Stalnaker and R.H. Thomason (1970) A semantic analysis of conditional logic. Theoria 36, pp. 23–42.
S. Ullman (1996) High-Level Vision; Object recognition and Visual Cognition, MIT Press, Cambridge, Mass.
G. White, J. Bell and W. Hodges (1998) Building models of prediction theories. Proc. KR’ 98, pp. 557–568.
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Bell, J. (2001). Pragmatic Reasoning Pragmatic Semantics and Semantic Pragmatics. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_4
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DOI: https://doi.org/10.1007/3-540-44607-9_4
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