Combining Philosophers

All the ideas for H.Putnam/P.Oppenheim, Peter Smith and Michael Tooley

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56 ideas

4. Formal Logic / F. Set Theory ST / 4. Axioms for Sets / a. Axioms for sets
There cannot be a set theory which is complete [Smith,P]
     Full Idea: By Gödel's First Incompleteness Theorem, there cannot be a negation-complete set theory.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 01.3)
     A reaction: This means that we can never prove all the truths of a system of set theory.
5. Theory of Logic / A. Overview of Logic / 7. Second-Order Logic
Second-order arithmetic can prove new sentences of first-order [Smith,P]
     Full Idea: Going second-order in arithmetic enables us to prove new first-order arithmetical sentences that we couldn't prove before.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 23.4)
     A reaction: The wages of Satan, perhaps. We can prove things about objects by proving things about their properties and sets and functions. Smith says this fact goes all the way up the hierarchy.
5. Theory of Logic / E. Structures of Logic / 5. Functions in Logic
The 'range' of a function is the set of elements in the output set created by the function [Smith,P]
     Full Idea: The 'range' of a function is the set of elements in the output set that are values of the function for elements in the original set.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1)
     A reaction: In other words, the range is the set of values that were created by the function.
Two functions are the same if they have the same extension [Smith,P]
     Full Idea: We count two functions as being the same if they have the same extension, i.e. if they pair up arguments with values in the same way.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 11.3)
     A reaction: So there's only one way to skin a cat in mathematical logic.
A 'partial function' maps only some elements to another set [Smith,P]
     Full Idea: A 'partial function' is one which maps only some elements of a domain to elements in another set. For example, the reciprocal function 1/x is not defined for x=0.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1 n1)
An argument is a 'fixed point' for a function if it is mapped back to itself [Smith,P]
     Full Idea: If a function f maps the argument a back to a itself, so that f(a) = a, then a is said to be a 'fixed point' for f.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 20.5)
A 'total function' maps every element to one element in another set [Smith,P]
     Full Idea: A 'total function' is one which maps every element of a domain to exactly one corresponding value in another set.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1)
5. Theory of Logic / E. Structures of Logic / 7. Predicates in Logic
The Comprehension Schema says there is a property only had by things satisfying a condition [Smith,P]
     Full Idea: The so-called Comprehension Schema ∃X∀x(Xx ↔ φ(x)) says that there is a property which is had by just those things which satisfy the condition φ.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 22.3)
5. Theory of Logic / E. Structures of Logic / 8. Theories in Logic
A 'theorem' of a theory is a sentence derived from the axioms using the proof system [Smith,P]
     Full Idea: 'Theorem': given a derivation of the sentence φ from the axioms of the theory T using the background logical proof system, we will say that φ is a 'theorem' of the theory. Standard abbreviation is T |- φ.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
5. Theory of Logic / H. Proof Systems / 4. Natural Deduction
A 'natural deduction system' has no axioms but many rules [Smith,P]
     Full Idea: A 'natural deduction system' will have no logical axioms but may rules of inference.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 09.1)
     A reaction: He contrasts this with 'Hilbert-style systems', which have many axioms but few rules. Natural deduction uses many assumptions which are then discharged, and so tree-systems are good for representing it.
5. Theory of Logic / I. Semantics of Logic / 2. Formal Truth
No nice theory can define truth for its own language [Smith,P]
     Full Idea: No nice theory can define truth for its own language.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 21.5)
     A reaction: This leads on to Tarski's account of truth.
5. Theory of Logic / J. Model Theory in Logic / 2. Isomorphisms
A 'surjective' ('onto') function creates every element of the output set [Smith,P]
     Full Idea: A 'surjective' function is 'onto' - the whole of the output set results from the function being applied to elements of the original set.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1)
An 'injective' ('one-to-one') function creates a distinct output element from each original [Smith,P]
     Full Idea: An 'injective' function is 'one-to-one' - each element of the output set results from a different element of the original set.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1)
     A reaction: That is, two different original elements cannot lead to the same output element.
A 'bijective' function has one-to-one correspondence in both directions [Smith,P]
     Full Idea: A 'bijective' function has 'one-to-one correspondence' - it is both surjective and injective, so that every element in each of the original and the output sets has a matching element in the other.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.1)
     A reaction: Note that 'injective' is also one-to-one, but only in the one direction.
5. Theory of Logic / K. Features of Logics / 3. Soundness
If everything that a theory proves is true, then it is 'sound' [Smith,P]
     Full Idea: If everything that a theory proves must be true, then it is a 'sound' theory.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 01.1)
Soundness is true axioms and a truth-preserving proof system [Smith,P]
     Full Idea: Soundness is normally a matter of having true axioms and a truth-preserving proof system.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
     A reaction: The only exception I can think of is if a theory consisted of nothing but the axioms.
A theory is 'sound' iff every theorem is true (usually from true axioms and truth-preservation) [Smith,P]
     Full Idea: A theory is 'sound' iff every theorem of it is true (i.e. true on the interpretation built into its language). Soundness is normally a matter of having true axioms and a truth-preserving proof system.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
5. Theory of Logic / K. Features of Logics / 4. Completeness
A theory is 'negation complete' if one of its sentences or its negation can always be proved [Smith,P]
     Full Idea: Logicians say that a theory T is '(negation) complete' if, for every sentence φ in the language of the theory, either φ or ¬φ is deducible in T's proof system. If this were the case, then truth could be equated with provability.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 01.1)
     A reaction: The word 'negation' seems to be a recent addition to the concept. Presumable it might be the case that φ can always be proved, but not ¬φ.
A theory is 'negation complete' if it proves all sentences or their negation [Smith,P]
     Full Idea: A theory is 'negation complete' if it decides every sentence of its language (either the sentence, or its negation).
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
'Complete' applies both to whole logics, and to theories within them [Smith,P]
     Full Idea: There is an annoying double-use of 'complete': a logic may be semantically complete, but there may be an incomplete theory expressed in it.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
5. Theory of Logic / K. Features of Logics / 5. Incompleteness
Two routes to Incompleteness: semantics of sound/expressible, or syntax of consistency/proof [Smith,P]
     Full Idea: There are two routes to Incompleteness results. One goes via the semantic assumption that we are dealing with sound theories, using a result about what they can express. The other uses the syntactic notion of consistency, with stronger notions of proof.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 18.1)
5. Theory of Logic / K. Features of Logics / 7. Decidability
'Effective' means simple, unintuitive, independent, controlled, dumb, and terminating [Smith,P]
     Full Idea: An 'effectively decidable' (or 'computable') algorithm will be step-by-small-step, with no need for intuition, or for independent sources, with no random methods, possible for a dumb computer, and terminates in finite steps.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.2)
     A reaction: [a compressed paragraph]
A theory is 'decidable' if all of its sentences could be mechanically proved [Smith,P]
     Full Idea: A theory is 'decidable' iff there is a mechanical procedure for determining whether any sentence of its language can be proved.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.4)
     A reaction: Note that it doesn't actually have to be proved. The theorems of the theory are all effectively decidable.
Any consistent, axiomatized, negation-complete formal theory is decidable [Smith,P]
     Full Idea: Any consistent, axiomatized, negation-complete formal theory is decidable.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 03.6)
5. Theory of Logic / K. Features of Logics / 8. Enumerability
A set is 'enumerable' is all of its elements can result from a natural number function [Smith,P]
     Full Idea: A set is 'enumerable' iff either the set is empty, or there is a surjective function to the set from the set of natural numbers, so that the set is in the range of that function.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.3)
A set is 'effectively enumerable' if a computer could eventually list every member [Smith,P]
     Full Idea: A set is 'effectively enumerable' if an (idealised) computer could be programmed to generate a list of its members such that any member will eventually be mentioned (even if the list is empty, or without end, or contains repetitions).
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.4)
A finite set of finitely specifiable objects is always effectively enumerable (e.g. primes) [Smith,P]
     Full Idea: A finite set of finitely specifiable objects is always effectively enumerable (for example, the prime numbers).
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.4)
The set of ordered pairs of natural numbers <i,j> is effectively enumerable [Smith,P]
     Full Idea: The set of ordered pairs of natural numbers (i,j) is effectively enumerable, as proven by listing them in an array (across: <0,0>, <0,1>, <0,2> ..., and down: <0,0>, <1,0>, <2,0>...), and then zig-zagging.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 02.5)
The thorems of a nice arithmetic can be enumerated, but not the truths (so they're diffferent) [Smith,P]
     Full Idea: The theorems of any properly axiomatized theory can be effectively enumerated. However, the truths of any sufficiently expressive arithmetic can't be effectively enumerated. Hence the theorems and truths of arithmetic cannot be the same.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 05 Intro)
5. Theory of Logic / K. Features of Logics / 9. Expressibility
Being 'expressible' depends on language; being 'capture/represented' depends on axioms and proof system [Smith,P]
     Full Idea: Whether a property is 'expressible' in a given theory depends on the richness of the theory's language. Whether the property can be 'captured' (or 'represented') by the theory depends on the richness of the axioms and proof system.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 04.7)
6. Mathematics / A. Nature of Mathematics / 3. Nature of Numbers / a. Numbers
For primes we write (x not= 1 ∧ ∀u∀v(u x v = x → (u = 1 ∨ v = 1))) [Smith,P]
     Full Idea: For prime numbers we write (x not= 1 ∧ ∀u∀v(u x v = x → (u = 1 ∨ v = 1))). That is, the only way to multiply two numbers and a get a prime is if one of them is 1.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 04.5)
6. Mathematics / A. Nature of Mathematics / 3. Nature of Numbers / g. Real numbers
The reals contain the naturals, but the theory of reals doesn't contain the theory of naturals [Smith,P]
     Full Idea: It has been proved (by Tarski) that the real numbers R is a complete theory. But this means that while the real numbers contain the natural numbers, the pure theory of real numbers doesn't contain the theory of natural numbers.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 18.2)
6. Mathematics / A. Nature of Mathematics / 4. Using Numbers / f. Arithmetic
The truths of arithmetic are just true equations and their universally quantified versions [Smith,P]
     Full Idea: The truths of arithmetic are just the true equations involving particular numbers, and universally quantified versions of such equations.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 27.7)
     A reaction: Must each equation be universally quantified? Why can't we just universally quantify over the whole system?
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / a. Axioms for numbers
All numbers are related to zero by the ancestral of the successor relation [Smith,P]
     Full Idea: All numbers are related to zero by the ancestral of the successor relation.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 23.5)
     A reaction: The successor relation only ties a number to the previous one, not to the whole series. Ancestrals are a higher level of abstraction.
The number of Fs is the 'successor' of the Gs if there is a single F that isn't G [Smith,P]
     Full Idea: The number of Fs is the 'successor' of the number of Gs if there is an object which is an F, and the remaining things that are F but not identical to the object are equinumerous with the Gs.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 14.1)
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / b. Baby arithmetic
Baby arithmetic covers addition and multiplication, but no general facts about numbers [Smith,P]
     Full Idea: Baby Arithmetic 'knows' the addition of particular numbers and multiplication, but can't express general facts about numbers, because it lacks quantification. It has a constant '0', a function 'S', and functions '+' and 'x', and identity and negation.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 08.1)
Baby Arithmetic is complete, but not very expressive [Smith,P]
     Full Idea: Baby Arithmetic is negation complete, so it can prove every claim (or its negation) that it can express, but it is expressively extremely impoverished.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 08.3)
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / c. Robinson arithmetic
Robinson Arithmetic (Q) is not negation complete [Smith,P]
     Full Idea: Robinson Arithmetic (Q) is not negation complete
     From: Peter Smith (Intro to Gödel's Theorems [2007], 08.4)
Robinson Arithmetic 'Q' has basic axioms, quantifiers and first-order logic [Smith,P]
     Full Idea: We can beef up Baby Arithmetic into Robinson Arithmetic (referred to as 'Q'), by restoring quantifiers and variables. It has seven generalised axioms, plus standard first-order logic.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 08.3)
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / d. Peano arithmetic
Natural numbers have zero, unique successors, unending, no circling back, and no strays [Smith,P]
     Full Idea: The sequence of natural numbers starts from zero, and each number has just one immediate successor; the sequence continues without end, never circling back on itself, and there are no 'stray' numbers, lurking outside the sequence.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 01.1)
     A reaction: These are the characteristics of the natural numbers which have to be pinned down by any axiom system, such as Peano's, or any more modern axiomatic structures. We are in the territory of Gödel's theorems.
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / f. Mathematical induction
The logic of arithmetic must quantify over properties of numbers to handle induction [Smith,P]
     Full Idea: If the logic of arithmetic doesn't have second-order quantifiers to range over properties of numbers, how can it handle induction?
     From: Peter Smith (Intro to Gödel's Theorems [2007], 10.1)
6. Mathematics / B. Foundations for Mathematics / 4. Axioms for Number / g. Incompleteness of Arithmetic
Incompleteness results in arithmetic from combining addition and successor with multiplication [Smith,P]
     Full Idea: Putting multiplication together with addition and successor in the language of arithmetic produces incompleteness.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 10.7)
     A reaction: His 'Baby Arithmetic' has all three and is complete, but lacks quantification (p.51)
Multiplication only generates incompleteness if combined with addition and successor [Smith,P]
     Full Idea: Multiplication in itself isn't is intractable. In 1929 Skolem showed a complete theory for a first-order language with multiplication but lacking addition (or successor). Multiplication together with addition and successor produces incompleteness.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 10.7 n8)
8. Modes of Existence / A. Relations / 4. Formal Relations / c. Ancestral relation
The 'ancestral' of a relation is a new relation which creates a long chain of the original relation [Smith,P]
     Full Idea: The 'ancestral' of a relation is that relation which holds when there is an indefinitely long chain of things having the initial relation.
     From: Peter Smith (Intro to Gödel's Theorems [2007], 23.5)
     A reaction: The standard example is spotting the relation 'ancestor' from the receding relation 'parent'. This is a sort of abstraction derived from a relation which is not equivalent (parenthood being transitive but not reflexive). The idea originated with Frege.
14. Science / D. Explanation / 2. Types of Explanation / j. Explanations by reduction
Six reduction levels: groups, lives, cells, molecules, atoms, particles [Putnam/Oppenheim, by Watson]
     Full Idea: There are six 'reductive levels' in science: social groups, (multicellular) living things, cells, molecules, atoms, and elementary particles.
     From: report of H.Putnam/P.Oppenheim (Unity of Science as a Working Hypothesis [1958]) by Peter Watson - Convergence 10 'Intro'
     A reaction: I have the impression that fields are seen as more fundamental that elementary particles. What is the status of the 'laws' that are supposed to govern these things? What is the status of space and time within this picture?
26. Natural Theory / C. Causation / 2. Types of cause
Causation is either direct realism, Humean reduction, non-Humean reduction or theoretical realism [Tooley]
     Full Idea: The main approaches to causation I shall refer to as direct realism, Humean reductionism, non-Humean reductionism, and indirect or theoretical realism.
     From: Michael Tooley (Causation and Supervenience [2003], 2)
     A reaction: The first simply observes causation (Anscombe), the second reduces it to regularity (Hume), the third reduces it to other natural features (Fair, Salmon, Dowe), the fourth takes an instrumental approach (Armstrong, Tooley). I favour the third approach.
Causation distinctions: reductionism/realism; Humean/non-Humean states; observable/non-observable [Tooley]
     Full Idea: The three main distinctions concerning causation are between reductionism and realism; between Humean and non-Humean states of affairs; and between states that are immediately observable and those that are not.
     From: Michael Tooley (Causation and Supervenience [2003], 2)
     A reaction: I favour reductionism over realism, because I like the question 'If x is real, what is it made of?' I favour non-Humean states of affairs, because I think constant conjunction is very superficial. I presume the existence of non-observable components.
26. Natural Theory / C. Causation / 4. Naturalised causation
Reductionists can't explain accidents, uninstantiated laws, probabilities, or the existence of any laws [Tooley]
     Full Idea: Reductionist accounts of causation cannot distinguish laws from accidental uniformities, cannot allow for basic uninstantiated laws, can't explain probabilistic laws, and cannot even demonstrate the existence of laws.
     From: Michael Tooley (Causality: Reductionism versus Realism [1990], 2)
     A reaction: I am tempted to say that this is so much the worse for the idea of laws. Extensive regularities only occur for a reason. Probabilities aren't laws. Hypothetical facts will cover uninstantiated laws. Laws are just patterns.
26. Natural Theory / C. Causation / 5. Direction of causation
We can only reduce the direction of causation to the direction of time if we are realist about the latter [Tooley]
     Full Idea: A reductionist can hold that the direction of causation is to be defined in terms of the direction of time; but this response is only available if one is prepared to adopt a realist view of the direction of time.
     From: Michael Tooley (Causation and Supervenience [2003], 4.2.1.2)
     A reaction: A nice illustration of the problems that arise if we try to be reductionist about everything. Personally I prefer my realism to be about time rather than about causation. Time, I would say, makes causation possible, not the other way around.
26. Natural Theory / C. Causation / 8. Particular Causation / a. Observation of causation
Causation is directly observable in pressure on one's body, and in willed action [Tooley]
     Full Idea: The arguments in favour of causation being observable appeal especially to the impression of pressure upon one's body, and to one's introspective awareness of willing, together with the perception of the event which one willed.
     From: Michael Tooley (Causation and Supervenience [2003], 3)
     A reaction: [He cites Evan Fagels] Anscombe also cites words which have causality built into their meaning. This would approach would give priority to mental causation, and would need to demonstrate that similar things happen out in the world.
26. Natural Theory / C. Causation / 8. Particular Causation / e. Probabilistic causation
Quantum physics suggests that the basic laws of nature are probabilistic [Tooley]
     Full Idea: Quantum physics seems to lend strong support to the idea that the basic laws of nature may well be probabilistic.
     From: Michael Tooley (Causality: Reductionism versus Realism [1990], 3.2.1)
     A reaction: Groan. Quantum physics should be outlawed from all philosophical discussions. The scientists don't understand it themselves. I'm certainly not going to build my worldview on it. I don't accept that these probabilities could count as 'laws'.
Probabilist laws are compatible with effects always or never happening [Tooley]
     Full Idea: If laws of causation are probabilistic then the law does not entail any restrictions upon the proportion of events that follow a cause: ...it can have absolutely any value from zero to one.
     From: Michael Tooley (Causation and Supervenience [2003], 4.1.3)
     A reaction: This objection applies to an account of laws of nature, and also to definitions of causes as events which increase probabilities. One needn't be fully committed to natural necessity, but it must form some part of the account.
The actual cause may not be the most efficacious one [Tooley]
     Full Idea: A given type of state may be causally efficacious, but not as efficacious as an alternative states, so it is not true that even a direct cause need raise the probability of its effect.
     From: Michael Tooley (Causation and Supervenience [2003], 6.2.4)
     A reaction: My intuition is that explaining causation in terms of probabilities entirely misses the point, which mainly concerns explaining the sense of necessitation in a cause. This idea give me a good reason for my intuition.
26. Natural Theory / C. Causation / 9. General Causation / a. Constant conjunction
In counterfactual worlds there are laws with no instances, so laws aren't supervenient on actuality [Tooley]
     Full Idea: If a counterfactual holds in a possible world, that is presumably because a law holds in that world, which means there could be basic causal laws that lack all instances. But then causal laws cannot be totally supervenient on the history of the universe.
     From: Michael Tooley (Causation and Supervenience [2003], 4.1.2)
     A reaction: A nice argument, which sounds like trouble for Lewis. One could deny that the laws have to hold in the counterfactual worlds, but then we wouldn't be able to conceive them.
26. Natural Theory / C. Causation / 9. General Causation / b. Nomological causation
Explaining causation in terms of laws can't explain the direction of causation [Tooley]
     Full Idea: The most serious objection to any account of causation in terms of nomological relations alone is that it can't provide any account of the direction of causation.
     From: Michael Tooley (Causation and Supervenience [2003], 5.1)
     A reaction: Cf. Idea 8393. I am not convinced that there could be an 'account' of the direction of causation, so I am inclined to take it as given. If we take 'powers' (active properties) as basic, they would have a direction built into them.
Causation is a concept of a relation the same in all worlds, so it can't be a physical process [Tooley]
     Full Idea: Against the view that causation is a particular physical process, might it not be argued that the concept of causation is the concept of a relation that possesses a certain intrinsic nature, so that causation must be the same in all possible worlds?
     From: Michael Tooley (Causation and Supervenience [2003], 5.4)
     A reaction: This makes the Humean assumption that laws of nature might be wildly different. I think it is perfectly possible that physical processes are the only way that causation could occur. Alternatively, the generic definition of 'cause' is just very vague.