Dictionary of Arguments


Philosophical and Scientific Issues in Dispute
 
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The author or concept searched is found in the following 4 entries.
Disputed term/author/ism Author
Entry
Reference
Bayesianism Putnam V 252f
Bayes-Theorem/Putnam: the Bayes-Theorem implies the acceptance of a certain number of reliable observation records in an observation language. >Observation, >Observation language, >Observation sentence, >Conditional probability, >Probability.
MethodsVsFetishism: the Bayes-Theorem suggests that division into formal and non-formal part is possible.
PutnamVsBayes: differences in the functions of the output probability lead to irrational large differences in the actual confirmation degrees of theorems.
PutnamVsSeparation: the definition of the formal part of the scientific method guarantees no rationality.

Putnam I
Hilary Putnam
Von einem Realistischen Standpunkt
In
Von einem realistischen Standpunkt, Vincent C. Müller Frankfurt 1993

Putnam I (a)
Hilary Putnam
Explanation and Reference, In: Glenn Pearce & Patrick Maynard (eds.), Conceptual Change. D. Reidel. pp. 196--214 (1973)
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (b)
Hilary Putnam
Language and Reality, in: Mind, Language and Reality: Philosophical Papers, Volume 2. Cambridge University Press. pp. 272-90 (1995
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (c)
Hilary Putnam
What is Realism? in: Proceedings of the Aristotelian Society 76 (1975):pp. 177 - 194.
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (d)
Hilary Putnam
Models and Reality, Journal of Symbolic Logic 45 (3), 1980:pp. 464-482.
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (e)
Hilary Putnam
Reference and Truth
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (f)
Hilary Putnam
How to Be an Internal Realist and a Transcendental Idealist (at the Same Time) in: R. Haller/W. Grassl (eds): Sprache, Logik und Philosophie, Akten des 4. Internationalen Wittgenstein-Symposiums, 1979
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (g)
Hilary Putnam
Why there isn’t a ready-made world, Synthese 51 (2):205--228 (1982)
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (h)
Hilary Putnam
Pourqui les Philosophes? in: A: Jacob (ed.) L’Encyclopédie PHilosophieque Universelle, Paris 1986
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (i)
Hilary Putnam
Realism with a Human Face, Cambridge/MA 1990
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (k)
Hilary Putnam
"Irrealism and Deconstruction", 6. Giford Lecture, St. Andrews 1990, in: H. Putnam, Renewing Philosophy (The Gifford Lectures), Cambridge/MA 1992, pp. 108-133
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam II
Hilary Putnam
Representation and Reality, Cambridge/MA 1988
German Edition:
Repräsentation und Realität Frankfurt 1999

Putnam III
Hilary Putnam
Renewing Philosophy (The Gifford Lectures), Cambridge/MA 1992
German Edition:
Für eine Erneuerung der Philosophie Stuttgart 1997

Putnam IV
Hilary Putnam
"Minds and Machines", in: Sidney Hook (ed.) Dimensions of Mind, New York 1960, pp. 138-164
In
Künstliche Intelligenz, Walther Ch. Zimmerli/Stefan Wolf Stuttgart 1994

Putnam V
Hilary Putnam
Reason, Truth and History, Cambridge/MA 1981
German Edition:
Vernunft, Wahrheit und Geschichte Frankfurt 1990

Putnam VI
Hilary Putnam
"Realism and Reason", Proceedings of the American Philosophical Association (1976) pp. 483-98
In
Truth and Meaning, Paul Horwich Aldershot 1994

Putnam VII
Hilary Putnam
"A Defense of Internal Realism" in: James Conant (ed.)Realism with a Human Face, Cambridge/MA 1990 pp. 30-43
In
Theories of Truth, Paul Horwich Aldershot 1994

SocPut I
Robert D. Putnam
Bowling Alone: The Collapse and Revival of American Community New York 2000

Probability Theory Norvig Norvig I 503
Probability theory/Norvig/Russell: Probability theory was invented as a way of analyzing games of chance. In about 850 A.D. the Indian mathematician Mahaviracarya described how to arrange a set of bets that can’t lose (what we now call a Dutch book). In Europe, the first significant systematic analyses were produced by Girolamo Cardano around 1565, although publication was posthumous (1663). By that time, probability had been established as a mathematical discipline due to a series of
Norvig I 504
results established in a famous correspondence between Blaise Pascal and Pierre de Fermat in 1654. As with probability itself, the results were initially motivated by gambling problems (…). The first published textbook on probability was De Ratiociniis in Ludo Aleae (Huygens, 1657)(1). The “laziness and ignorance” view of uncertainty was described by John Arbuthnot in the preface of his translation of Huygens (Arbuthnot, 1692)(2): “It is impossible for a Die, with such determin’d force and direction, not to fall on such determin’d side, only I don’t know the force and direction which makes it fall on such determin’d side, and therefore I call it Chance, which is nothing but the want of art...”
Laplace (1816)(3) gave an exceptionally accurate and modern overview of probability; he was the first to use the example “take two urns, A and B, the first containing four white and two black balls, . . . ” The Rev. Thomas Bayes (1702–1761) introduced the rule for reasoning about conditional probabilities that was named after him (Bayes, 1763)(4). Bayes only considered the case of uniform priors; it was Laplace who independently developed the general case.
Kolmogorov (1950(5), first published in German in 1933) presented probability theory in a
rigorously axiomatic framework for the first time. Rényi (1970)(6) later gave an axiomatic presentation that took conditional probability, rather than absolute probability, as primitive.
Objectivism: Pascal used probability in ways that required both the objective interpretation, as a property
of the world based on symmetry or relative frequency, and the subjective interpretation, based on degree of belief—the former in his analyses of probabilities in games of chance, the latter in the famous “Pascal’s wager” argument about the possible existence of God. However, Pascal did not clearly realize the distinction between these two interpretations. The distinction was first drawn clearly by James Bernoulli (1654–1705).
Subjectivism: Leibniz introduced the “classical” notion of probability as a proportion of enumerated, equally probable cases, which was also used by Bernoulli, although it was brought to prominence by Laplace (1749–1827). This notion is ambiguous between the frequency interpretation and the subjective interpretation. The cases can be thought to be equally probable either because of a natural, physical symmetry between them, or simply because we do not have any knowledge that would lead us to consider one more probable than another.
Principle of indifference: The use of this latter, subjective consideration to justify assigning equal probabilities is known as the principle of indifference. The principle is often attributed to Laplace, but he never isolated the principle explicitly.
Principle of insufficient reason: George Boole and John Venn both referred to [the principle of indifference] as the principle of insufficient reason; the modern name is due to Keynes (1921)(7).
Objectivism/Subjectivism: The debate between objectivists and subjectivists became sharper in the 20th century. Kolmogorov (1963)(8), R. A. Fisher (1922)(9), and Richard von Mises (1928)(10) were advocates of the relative frequency interpretation.
Propensity: Karl Popper’s (1959(11), first published in German in 1934) “propensity” interpretation traces relative frequencies to an underlying physical symmetry.
Belief degree: Frank Ramsey (1931)(12), Bruno de Finetti (1937)(13), R. T. Cox (1946)(14), Leonard Savage (1954)(15), Richard Jeffrey (1983)(16), and E. T. Jaynes (2003)(17) interpreted probabilities as the degrees of belief of specific individuals. Their analyses of degree of belief were closely tied to utilities and to behavior - specifically, to the willingness to place bets.
Subjectivism: Rudolf Carnap, following Leibniz and Laplace, offered a different kind of subjective interpretation of probability - not as any actual individual’s degree of belief, but as the degree of belief that an idealized individual should have in a particular proposition a, given a particular body of evidence e.
Norvig I 505
Confirmation degree: Carnap attempted to go further than Leibniz or Laplace by making this notion of degree of confirmation mathematically precise, as a logical relation between a and e. Induction/inductive Logic: The study of this relation was intended to constitute a mathematical discipline called inductive logic, analogous to ordinary deductive logic (Carnap, 1948(18), 1950(19)). Carnap was not able to extend his inductive logic much beyond the propositional case, and Putnam (1963)(20) showed by adversarial arguments that some fundamental difficulties would prevent a strict extension to languages capable of expressing arithmetic.
Uncertainty: Cox’s theorem (1946)(14) shows that any system for uncertain reasoning that meets his set of assumptions is equivalent to probability theory. This gave renewed confidence to those who already favored probability, but others were not convinced, pointing to the assumptions (primarily that belief must be represented by a single number, and thus the belief in ¬p must be a function of the belief in p). Halpern (1999)(21) describes the assumptions and shows some gaps in Cox’s original formulation. Horn (2003)(22) shows how to patch up the difficulties. Jaynes (2003)(17) has a similar argument that is easier to read. The question of reference classes is closely tied to the attempt to find an inductive logic.
Reference class problem: The approach of choosing the “most specific” reference class of sufficient size was formally proposed by Reichenbach (1949)(23). Various attempts have been made, notably by Henry Kyburg (1977(24), 1983(25)), to formulate more sophisticated policies in order to avoid some obvious fallacies that arise with Reichenbach’s rule, but such approaches remain somewhat ad hoc. More recent work by Bacchus, Grove, Halpern, and Koller (1992)(26) extends Carnap’s methods to first-order theories, thereby avoiding many of the difficulties associated with the straightforward reference-class method. Kyburg and Teng (2006)(27) contrast probabilistic inference with nonmonotonic logic. >Uncertainty/AI research.


1. Huygens, C. (1657). De ratiociniis in ludo aleae. In van Schooten, F. (Ed.), Exercitionum Mathematicorum. Elsevirii, Amsterdam. Translated into English by John Arbuthnot (1692
2. Arbuthnot, J. (1692). Of the Laws of Chance. Motte, London. Translation into English, with additions, of Huygens (1657).
3. Laplace, P. (1816). Essai philosophique sur les probabilit´es (3rd edition). Courcier Imprimeur,
Paris.
4. Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418.
5. Kolmogorov, A. N. (1950). Foundations of the Theory of Probability. Chelsea.
6. Rényi, A. (1970). Probability Theory. Elsevier/North-Holland.
7. Keynes, J. M. (1921). A Treatise on Probability. Macmillan.
8. Kolmogorov, A. N. (1963). On tables of random numbers. Sankhya, the Indian Journal of Statistics,
Series A 25.
9. Fisher, R. A. (1922). On the mathematical foundations of theoretical statistics. Philosophical Transactions of the Royal Society of London, Series A 222, 309–368.
10. von Mises, R. (1928). Wahrscheinlichkeit, Statistik und Wahrheit. J. Springer
11. Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.
12. Ramsey, F. P. (1931). Truth and probability. In Braithwaite, R. B. (Ed.), The Foundations of Mathematics and Other Logical Essays. Harcourt Brace Jovanovich.
13. de Finetti, B. (1937). Le prévision: ses lois logiques, ses sources subjectives. Ann. Inst.Poincaré, 7, 1-68.
14. Cox, R. T. (1946). Probability, frequency, and reasonable expectation. American Journal of Physics,
14(1), 1–13.
15. Savage, L. J. (1954). The Foundations of Statistics. Wiley. 16. Jeffrey, R. C. (1983). The Logic of Decision (2nd edition). University of Chicago Press.
17. Jaynes, E. T. (2003). Probability Theory: The Logic of Science. Cambridge Univ. Press.
18. Carnap, R. (1948). On the application of inductive logic. Philosophy and Phenomenological Research, 8, 133-148.
19. Carnap, R. (1950). Logical Foundations of Probability. University of Chicago Press
20. Putnam, H. (1963). ‘Degree of confirmation’ and inductive logic. In Schilpp, P. A. (Ed.), The Philosophy of Rudolf Carnap, pp. 270–292. Open Court.
21. Halpern, J. Y. (1999). Technical addendum, Cox’s theorem revisited. JAIR, 11, 429–435.
22. Horn, K. V. (2003). Constructing a logic of plausible inference: A guide to cox’s theorem. IJAR, 34,
3–24.
23. Reichenbach, H. (1949). The Theory of Probability: An Inquiry into the Logical and Mathematical
Foundations of the Calculus of Probability (second edition). University of California Press
24. Kyburg, H. E. (1977). Randomness and the right reference class. J. Philosophy, 74(9), 501-521.
25. Kyburg, H. E. (1983). The reference class. Philosophy of Science, 50, 374–397.
26. Bacchus, F., Grove, A., Halpern, J. Y., and Koller, D. (1992). From statistics to beliefs. In AAAI-92,
pp. 602-608.
27. Kyburg, H. E. and Teng, C.-M. (2006). Nonmonotonic logic and statistical inference. Computational
Intelligence, 22(1), 26-51.

Norvig I
Peter Norvig
Stuart J. Russell
Artificial Intelligence: A Modern Approach Upper Saddle River, NJ 2010

Probability Theory Russell Norvig I 503
Probability theory/Norvig/Russell: Probability theory was invented as a way of analyzing games of chance. In about 850 A.D. the Indian mathematician Mahaviracarya described how to arrange a set of bets that can’t lose (what we now call a Dutch book). In Europe, the first significant systematic analyses were produced by Girolamo Cardano around 1565, although publication was posthumous (1663). By that time, probability had been established as a mathematical discipline due to a series of
Norvig I 504
results established in a famous correspondence between Blaise Pascal and Pierre de Fermat in 1654. As with probability itself, the results were initially motivated by gambling problems (…). The first published textbook on probability was De Ratiociniis in Ludo Aleae (Huygens, 1657)(1). The “laziness and ignorance” view of uncertainty was described by John Arbuthnot in the preface of his translation of Huygens (Arbuthnot, 1692)(2): “It is impossible for a Die, with such determin’d force and direction, not to fall on such determin’d side, only I don’t know the force and direction which makes it fall on such determin’d side, and therefore I call it Chance, which is nothing but the want of art...”
Laplace (1816)(3) gave an exceptionally accurate and modern overview of probability; he was the first to use the example “take two urns, A and B, the first containing four white and two black balls, . . . ” The Rev. Thomas Bayes (1702–1761) introduced the rule for reasoning about conditional probabilities that was named after him (Bayes, 1763)(4). Bayes only considered the case of uniform priors; it was Laplace who independently developed the general case.
Kolmogorov (1950(5), first published in German in 1933) presented probability theory in a
rigorously axiomatic framework for the first time. Rényi (1970)(6) later gave an axiomatic presentation that took conditional probability, rather than absolute probability, as primitive.
Objectivism: Pascal used probability in ways that required both the objective interpretation, as a property
of the world based on symmetry or relative frequency, and the subjective interpretation, based on degree of belief—the former in his analyses of probabilities in games of chance, the latter in the famous “Pascal’s wager” argument about the possible existence of God. However, Pascal did not clearly realize the distinction between these two interpretations. The distinction was first drawn clearly by James Bernoulli (1654–1705).
Subjectivism: Leibniz introduced the “classical” notion of probability as a proportion of enumerated, equally probable cases, which was also used by Bernoulli, although it was brought to prominence by Laplace (1749–1827). This notion is ambiguous between the frequency interpretation and the subjective interpretation. The cases can be thought to be equally probable either because of a natural, physical symmetry between them, or simply because we do not have any knowledge that would lead us to consider one more probable than another.
Principle of indifference: The use of this latter, subjective consideration to justify assigning equal probabilities is known as the principle of indifference. The principle is often attributed to Laplace, but he never isolated the principle explicitly.
Principle of insufficient reason: George Boole and John Venn both referred to [the principle of indifference] as the principle of insufficient reason; the modern name is due to Keynes (1921)(7).
Objectivism/Subjectivism: The debate between objectivists and subjectivists became sharper in the 20th century. Kolmogorov (1963)(8), R. A. Fisher (1922)(9), and Richard von Mises (1928)(10) were advocates of the relative frequency interpretation.
Propensity: Karl Popper’s (1959(11), first published in German in 1934) “propensity” interpretation traces relative frequencies to an underlying physical symmetry.
Belief degree: Frank Ramsey (1931)(12), Bruno de Finetti (1937)(13), R. T. Cox (1946)(14), Leonard Savage (1954)(15), Richard Jeffrey (1983)(16), and E. T. Jaynes (2003)(17) interpreted probabilities as the degrees of belief of specific individuals. Their analyses of degree of belief were closely tied to utilities and to behavior - specifically, to the willingness to place bets.
Subjectivism: Rudolf Carnap, following Leibniz and Laplace, offered a different kind of subjective interpretation of probability - not as any actual individual’s degree of belief, but as the degree of belief that an idealized individual should have in a particular proposition a, given a particular body of evidence e.
Norvig I 505
Confirmation degree: Carnap attempted to go further than Leibniz or Laplace by making this notion of degree of confirmation mathematically precise, as a logical relation between a and e. Induction/inductive Logic: The study of this relation was intended to constitute a mathematical discipline called inductive logic, analogous to ordinary deductive logic (Carnap, 1948(18), 1950(19)). Carnap was not able to extend his inductive logic much beyond the propositional case, and Putnam (1963)(20) showed by adversarial arguments that some fundamental difficulties would prevent a strict extension to languages capable of expressing arithmetic.
Uncertainty: Cox’s theorem (1946)(14) shows that any system for uncertain reasoning that meets his set of assumptions is equivalent to probability theory. This gave renewed confidence to those who already favored probability, but others were not convinced, pointing to the assumptions (primarily that belief must be represented by a single number, and thus the belief in ¬p must be a function of the belief in p). Halpern (1999)(21) describes the assumptions and shows some gaps in Cox’s original formulation. Horn (2003)(22) shows how to patch up the difficulties. Jaynes (2003)(17) has a similar argument that is easier to read. The question of reference classes is closely tied to the attempt to find an inductive logic.
Reference class problem: The approach of choosing the “most specific” reference class of sufficient size was formally proposed by Reichenbach (1949)(23). Various attempts have been made, notably by Henry Kyburg (1977(24), 1983(25)), to formulate more sophisticated policies in order to avoid some obvious fallacies that arise with Reichenbach’s rule, but such approaches remain somewhat ad hoc. More recent work by Bacchus, Grove, Halpern, and Koller (1992)(26) extends Carnap’s methods to first-order theories, thereby avoiding many of the difficulties associated with the straightforward reference-class method. Kyburg and Teng (2006)(27) contrast probabilistic inference with nonmonotonic logic.
>Uncertainty/AI research.

1. Huygens, C. (1657). De ratiociniis in ludo aleae. In van Schooten, F. (Ed.), Exercitionum Mathematicorum. Elsevirii, Amsterdam. Translated into English by John Arbuthnot (1692
2. Arbuthnot, J. (1692). Of the Laws of Chance. Motte, London. Translation into English, with additions, of Huygens (1657).
3. Laplace, P. (1816). Essai philosophique sur les probabilit´es (3rd edition). Courcier Imprimeur,
Paris.
4. Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418.
5. Kolmogorov, A. N. (1950). Foundations of the Theory of Probability. Chelsea.
6. Rényi, A. (1970). Probability Theory. Elsevier/North-Holland.
7. Keynes, J. M. (1921). A Treatise on Probability. Macmillan.
8. Kolmogorov, A. N. (1963). On tables of random numbers. Sankhya, the Indian Journal of Statistics,
Series A 25.
9. Fisher, R. A. (1922). On the mathematical foundations of theoretical statistics. Philosophical Transactions of the Royal Society of London, Series A 222, 309–368.
10. von Mises, R. (1928). Wahrscheinlichkeit, Statistik und Wahrheit. J. Springer
11. Popper, K. R. (1959). The Logic of Scientific Discovery. Basic Books.
12. Ramsey, F. P. (1931). Truth and probability. In Braithwaite, R. B. (Ed.), The Foundations of Mathematics and Other Logical Essays. Harcourt Brace Jovanovich.
13. de Finetti, B. (1937). Le prévision: ses lois logiques, ses sources subjectives. Ann. Inst.Poincaré, 7, 1-68.
14. Cox, R. T. (1946). Probability, frequency, and reasonable expectation. American Journal of Physics,
14(1), 1–13.
15. Savage, L. J. (1954). The Foundations of Statistics. Wiley. 16. Jeffrey, R. C. (1983). The Logic of Decision (2nd edition). University of Chicago Press.
17. Jaynes, E. T. (2003). Probability Theory: The Logic of Science. Cambridge Univ. Press.
18. Carnap, R. (1948). On the application of inductive logic. Philosophy and Phenomenological Research, 8, 133-148.
19. Carnap, R. (1950). Logical Foundations of Probability. University of Chicago Press
20. Putnam, H. (1963). ‘Degree of confirmation’ and inductive logic. In Schilpp, P. A. (Ed.), The Philosophy of Rudolf Carnap, pp. 270–292. Open Court.
21. Halpern, J. Y. (1999). Technical addendum, Cox’s theorem revisited. JAIR, 11, 429–435.
22. Horn, K. V. (2003). Constructing a logic of plausible inference: A guide to cox’s theorem. IJAR, 34,
3–24.
23. Reichenbach, H. (1949). The Theory of Probability: An Inquiry into the Logical and Mathematical
Foundations of the Calculus of Probability (second edition). University of California Press
24. Kyburg, H. E. (1977). Randomness and the right reference class. J. Philosophy, 74(9), 501-521.
25. Kyburg, H. E. (1983). The reference class. Philosophy of Science, 50, 374–397.
26. Bacchus, F., Grove, A., Halpern, J. Y., and Koller, D. (1992). From statistics to beliefs. In AAAI-92,
pp. 602-608.
27. Kyburg, H. E. and Teng, C.-M. (2006). Nonmonotonic logic and statistical inference. Computational
Intelligence, 22(1), 26-51.

Russell I
B. Russell/A.N. Whitehead
Principia Mathematica Frankfurt 1986

Russell II
B. Russell
The ABC of Relativity, London 1958, 1969
German Edition:
Das ABC der Relativitätstheorie Frankfurt 1989

Russell IV
B. Russell
The Problems of Philosophy, Oxford 1912
German Edition:
Probleme der Philosophie Frankfurt 1967

Russell VI
B. Russell
"The Philosophy of Logical Atomism", in: B. Russell, Logic and KNowledge, ed. R. Ch. Marsh, London 1956, pp. 200-202
German Edition:
Die Philosophie des logischen Atomismus
In
Eigennamen, U. Wolf (Hg) Frankfurt 1993

Russell VII
B. Russell
On the Nature of Truth and Falsehood, in: B. Russell, The Problems of Philosophy, Oxford 1912 - Dt. "Wahrheit und Falschheit"
In
Wahrheitstheorien, G. Skirbekk (Hg) Frankfurt 1996


Norvig I
Peter Norvig
Stuart J. Russell
Artificial Intelligence: A Modern Approach Upper Saddle River, NJ 2010
Truth Putnam Rorty I 309
Concept of Truth/truth/Putnam/Rorty: the concept of truth has certain properties. Putnam: if a statement is true, then its logical consequences are also true, when two statements are true, then their conjunction is also true. If a statement is now true, then it is always true. >Logical omniscience.
---
Putnam VI 394
Truth has to do with speaker-use (success), not with what is going on "in the head" (> verification degrees, confirmation degrees). >Use, >Convention, >Speaker meaning, >Confirmation, >Verification, >Graduals, >Confirmation degrees.
Meaning/Putnam: meaning is also a function of the reference (not only in the head). Reference/Putnam: reference is determined by social practices and actual physical paradigms.
---
Harman II 431
Truth/Putnam: the only reason one can have to deny that truth is a property would be that one is a physicalist or phenomenalist (= reductionist) or cultural relativist. >Physicalism, >Reductionism, >Phenomenalism, >Cultural relativism, cf. >Deflationism.
---
Horwich I 456
Truth/Putnam: if it was not a property, the truth conditions were everything you could know about them. Putnam: then our thoughts would not be thoughts.
>Thoughts.

(Richard Rorty (1986), "Pragmatism, Davidson and Truth" in E. Lepore (Ed.) Truth and Interpretation. Perspectives on the philosophy of Donald Davidson, Oxford, pp. 333-55. Reprinted in:
Paul Horwich (Ed.) Theories of truth, Dartmouth, England USA 1994.)
---
Putnam III 96f
Truth/deconstructivism/PutnamVsDerrida: Derrida: "The concept of truth itself is inconsistent but indispensable". PutnamVs: the failure of a large number of contradictory statements is something else than a failure of the concept of truth itself. Truth/Putnam: truth is not "what I would believe if I continue researching". Putnam: the philosophy of language got only troubled because they believed that they could clear out the normative.
>Norms/Putnam.
---
Putnam I (h) 204f
Truth/PutnamVsRorty: when some ideas "pay out", then there is the question of the nature of this accuracy. >Truth/Rorty, cf. >Pragmatism.

Putnam I
Hilary Putnam
Von einem Realistischen Standpunkt
In
Von einem realistischen Standpunkt, Vincent C. Müller Frankfurt 1993

Putnam I (a)
Hilary Putnam
Explanation and Reference, In: Glenn Pearce & Patrick Maynard (eds.), Conceptual Change. D. Reidel. pp. 196--214 (1973)
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (b)
Hilary Putnam
Language and Reality, in: Mind, Language and Reality: Philosophical Papers, Volume 2. Cambridge University Press. pp. 272-90 (1995
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (c)
Hilary Putnam
What is Realism? in: Proceedings of the Aristotelian Society 76 (1975):pp. 177 - 194.
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (d)
Hilary Putnam
Models and Reality, Journal of Symbolic Logic 45 (3), 1980:pp. 464-482.
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (e)
Hilary Putnam
Reference and Truth
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (f)
Hilary Putnam
How to Be an Internal Realist and a Transcendental Idealist (at the Same Time) in: R. Haller/W. Grassl (eds): Sprache, Logik und Philosophie, Akten des 4. Internationalen Wittgenstein-Symposiums, 1979
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (g)
Hilary Putnam
Why there isn’t a ready-made world, Synthese 51 (2):205--228 (1982)
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (h)
Hilary Putnam
Pourqui les Philosophes? in: A: Jacob (ed.) L’Encyclopédie PHilosophieque Universelle, Paris 1986
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (i)
Hilary Putnam
Realism with a Human Face, Cambridge/MA 1990
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam I (k)
Hilary Putnam
"Irrealism and Deconstruction", 6. Giford Lecture, St. Andrews 1990, in: H. Putnam, Renewing Philosophy (The Gifford Lectures), Cambridge/MA 1992, pp. 108-133
In
Von einem realistischen Standpunkt, Vincent C. Müller Reinbek 1993

Putnam II
Hilary Putnam
Representation and Reality, Cambridge/MA 1988
German Edition:
Repräsentation und Realität Frankfurt 1999

Putnam III
Hilary Putnam
Renewing Philosophy (The Gifford Lectures), Cambridge/MA 1992
German Edition:
Für eine Erneuerung der Philosophie Stuttgart 1997

Putnam IV
Hilary Putnam
"Minds and Machines", in: Sidney Hook (ed.) Dimensions of Mind, New York 1960, pp. 138-164
In
Künstliche Intelligenz, Walther Ch. Zimmerli/Stefan Wolf Stuttgart 1994

Putnam V
Hilary Putnam
Reason, Truth and History, Cambridge/MA 1981
German Edition:
Vernunft, Wahrheit und Geschichte Frankfurt 1990

Putnam VI
Hilary Putnam
"Realism and Reason", Proceedings of the American Philosophical Association (1976) pp. 483-98
In
Truth and Meaning, Paul Horwich Aldershot 1994

Putnam VII
Hilary Putnam
"A Defense of Internal Realism" in: James Conant (ed.)Realism with a Human Face, Cambridge/MA 1990 pp. 30-43
In
Theories of Truth, Paul Horwich Aldershot 1994

SocPut I
Robert D. Putnam
Bowling Alone: The Collapse and Revival of American Community New York 2000


Rorty I
Richard Rorty
Philosophy and the Mirror of Nature, Princeton/NJ 1979
German Edition:
Der Spiegel der Natur Frankfurt 1997

Rorty II
Richard Rorty
Philosophie & die Zukunft Frankfurt 2000

Rorty II (b)
Richard Rorty
"Habermas, Derrida and the Functions of Philosophy", in: R. Rorty, Truth and Progress. Philosophical Papers III, Cambridge/MA 1998
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty II (c)
Richard Rorty
Analytic and Conversational Philosophy Conference fee "Philosophy and the other hgumanities", Stanford Humanities Center 1998
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty II (d)
Richard Rorty
Justice as a Larger Loyalty, in: Ronald Bontekoe/Marietta Stepanians (eds.) Justice and Democracy. Cross-cultural Perspectives, University of Hawaii 1997
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty II (e)
Richard Rorty
Spinoza, Pragmatismus und die Liebe zur Weisheit, Revised Spinoza Lecture April 1997, University of Amsterdam
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty II (f)
Richard Rorty
"Sein, das verstanden werden kann, ist Sprache", keynote lecture for Gadamer’ s 100th birthday, University of Heidelberg
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty II (g)
Richard Rorty
"Wild Orchids and Trotzky", in: Wild Orchids and Trotzky: Messages form American Universities ed. Mark Edmundson, New York 1993
In
Philosophie & die Zukunft, Frankfurt/M. 2000

Rorty III
Richard Rorty
Contingency, Irony, and solidarity, Chambridge/MA 1989
German Edition:
Kontingenz, Ironie und Solidarität Frankfurt 1992

Rorty IV (a)
Richard Rorty
"is Philosophy a Natural Kind?", in: R. Rorty, Objectivity, Relativism, and Truth. Philosophical Papers Vol. I, Cambridge/Ma 1991, pp. 46-62
In
Eine Kultur ohne Zentrum, Stuttgart 1993

Rorty IV (b)
Richard Rorty
"Non-Reductive Physicalism" in: R. Rorty, Objectivity, Relativism, and Truth. Philosophical Papers Vol. I, Cambridge/Ma 1991, pp. 113-125
In
Eine Kultur ohne Zentrum, Stuttgart 1993

Rorty IV (c)
Richard Rorty
"Heidegger, Kundera and Dickens" in: R. Rorty, Essays on Heidegger and Others. Philosophical Papers Vol. 2, Cambridge/MA 1991, pp. 66-82
In
Eine Kultur ohne Zentrum, Stuttgart 1993

Rorty IV (d)
Richard Rorty
"Deconstruction and Circumvention" in: R. Rorty, Essays on Heidegger and Others. Philosophical Papers Vol. 2, Cambridge/MA 1991, pp. 85-106
In
Eine Kultur ohne Zentrum, Stuttgart 1993

Rorty V (a)
R. Rorty
"Solidarity of Objectivity", Howison Lecture, University of California, Berkeley, January 1983
In
Solidarität oder Objektivität?, Stuttgart 1998

Rorty V (b)
Richard Rorty
"Freud and Moral Reflection", Edith Weigert Lecture, Forum on Psychiatry and the Humanities, Washington School of Psychiatry, Oct. 19th 1984
In
Solidarität oder Objektivität?, Stuttgart 1988

Rorty V (c)
Richard Rorty
The Priority of Democracy to Philosophy, in: John P. Reeder & Gene Outka (eds.), Prospects for a Common Morality. Princeton University Press. pp. 254-278 (1992)
In
Solidarität oder Objektivität?, Stuttgart 1988

Rorty VI
Richard Rorty
Truth and Progress, Cambridge/MA 1998
German Edition:
Wahrheit und Fortschritt Frankfurt 2000

Harman I
G. Harman
Moral Relativism and Moral Objectivity 1995

Harman II
Gilbert Harman
"Metaphysical Realism and Moral Relativism: Reflections on Hilary Putnam’s Reason, Truth and History" The Journal of Philosophy, 79 (1982) pp. 568-75
In
Theories of Truth, Paul Horwich Aldershot 1994

Horwich I
P. Horwich (Ed.)
Theories of Truth Aldershot 1994

The author or concept searched is found in the following theses of the more related field of specialization.
Disputed term/author/ism Author
Entry
Reference
Justification Field, Hartry II 365
Explanation / justification / Field: declarations can only be considered as a justification if they are not too easy to reach! Dummett, Black, Friedman thesis: the use of credible methods initially increased their credibility.
II 367
Rationality / FieldVs coherence theory: I prefer the lower threshold: the good induction and perception rules are a priori weak.
II 371
It is misguided to try to reduce epistemic properties such as rationality to other terms.
Horwich I 431
Confirmation / Field: there is no objective notion of "confirmation degree" or of justification.

Horwich I
P. Horwich (Ed.)
Theories of Truth Aldershot 1994