Combining Texts

All the ideas for 'Precis of 'Limits of Abstraction'', 'After Virtue: a Study in Moral Theory' and 'Inference to the Best Explanation (2nd)'

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87 ideas

1. Philosophy / B. History of Ideas / 5. Later European Thought
In the 17th-18th centuries morality offered a cure for egoism, through altruism [MacIntyre]
1. Philosophy / B. History of Ideas / 6. Twentieth Century Thought
Twentieth century social life is re-enacting eighteenth century philosophy [MacIntyre]
1. Philosophy / D. Nature of Philosophy / 7. Despair over Philosophy
Philosophy has been marginalised by its failure in the Enlightenment to replace religion [MacIntyre]
2. Reason / A. Nature of Reason / 4. Aims of Reason
Good inference has mechanism, precision, scope, simplicity, fertility and background fit [Lipton]
2. Reason / A. Nature of Reason / 9. Limits of Reason
Proof is a barren idea in philosophy, and the best philosophy never involves proof [MacIntyre]
2. Reason / B. Laws of Thought / 4. Contraries
Contrary pairs entail contradictions; one member entails negation of the other [Lipton]
2. Reason / D. Definition / 2. Aims of Definition
Definitions concern how we should speak, not how things are [Fine,K]
6. Mathematics / B. Foundations for Mathematics / 5. Definitions of Number / d. Hume's Principle
If Hume's Principle can define numbers, we needn't worry about its truth [Fine,K]
Hume's Principle is either adequate for number but fails to define properly, or vice versa [Fine,K]
11. Knowledge Aims / A. Knowledge / 2. Understanding
Understanding is not mysterious - it is just more knowledge, of causes [Lipton]
12. Knowledge Sources / D. Empiricism / 5. Empiricism Critique
To find empiricism and science in the same culture is surprising, as they are really incompatible [MacIntyre]
13. Knowledge Criteria / B. Internal Justification / 3. Evidentialism / a. Evidence
How do we distinguish negative from irrelevant evidence, if both match the hypothesis? [Lipton]
14. Science / A. Basis of Science / 1. Observation
The inference to observables and unobservables is almost the same, so why distinguish them? [Lipton]
14. Science / A. Basis of Science / 2. Demonstration
Inductive inference is not proof, but weighing evidence and probability [Lipton]
We infer from evidence by working out what would explain that evidence [Lipton]
14. Science / A. Basis of Science / 4. Prediction
Unpredictability doesn't entail inexplicability, and predictability doesn't entail explicability [MacIntyre]
It is more impressive that relativity predicted Mercury's orbit than if it had accommodated it [Lipton]
Predictions are best for finding explanations, because mere accommodations can be fudged [Lipton]
14. Science / B. Scientific Theories / 1. Scientific Theory
If we make a hypothesis about data, then a deduction, where does the hypothesis come from? [Lipton]
Social sciences discover no law-like generalisations, and tend to ignore counterexamples [MacIntyre]
14. Science / C. Induction / 1. Induction
Induction is repetition, instances, deduction, probability or causation [Lipton]
14. Science / C. Induction / 3. Limits of Induction
Standard induction does not allow for vertical inferences, to some unobservable lower level [Lipton]
14. Science / C. Induction / 4. Reason in Induction
An inductive inference is underdetermined, by definition [Lipton]
We can argue to support our beliefs, so induction will support induction, for believers in induction [Lipton]
14. Science / C. Induction / 5. Paradoxes of Induction / b. Raven paradox
If something in ravens makes them black, it may be essential (definitive of ravens) [Lipton]
My shoes are not white because they lack some black essence of ravens [Lipton]
A theory may explain the blackness of a raven, but say nothing about the whiteness of shoes [Lipton]
We can't turn non-black non-ravens into ravens, to test the theory [Lipton]
To pick a suitable contrast to ravens, we need a hypothesis about their genes [Lipton]
14. Science / C. Induction / 6. Bayes's Theorem
Bayes seems to rule out prior evidence, since that has a probability of one [Lipton]
Bayes is too liberal, since any logical consequence of a hypothesis confirms it [Lipton]
A hypothesis is confirmed if an unlikely prediction comes true [Lipton]
Bayes involves 'prior' probabilities, 'likelihood', 'posterior' probability, and 'conditionalising' [Lipton]
Explanation may be an important part of implementing Bayes's Theorem [Lipton]
14. Science / D. Explanation / 1. Explanation / a. Explanation
Explanation may describe induction, but may not show how it justifies, or leads to truth [Lipton]
14. Science / D. Explanation / 1. Explanation / b. Aims of explanation
An explanation gives the reason the phenomenon occurred [Lipton]
An explanation is what makes the unfamiliar familiar to us [Lipton]
An explanation is what is added to knowledge to yield understanding [Lipton]
Seaching for explanations is a good way to discover the structure of the world [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / b. Contrastive explanations
In 'contrastive' explanation there is a fact and a foil - why that fact, rather than this foil? [Lipton]
With too many causes, find a suitable 'foil' for contrast, and the field narrows right down [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / c. Explanations by coherence
An explanation unifies a phenomenon with our account of other phenomena [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / e. Lawlike explanations
Deduction explanation is too easy; any law at all will imply the facts - together with the facts! [Lipton]
We reject deductive explanations if they don't explain, not if the deduction is bad [Lipton]
Good explanations may involve no laws and no deductions [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / f. Necessity in explanations
An explanation shows why it was necessary that the effect occurred [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / g. Causal explanations
A cause may not be an explanation [Lipton]
To explain is to give either the causal history, or the causal mechanism [Lipton]
Mathematical and philosophical explanations are not causal [Lipton]
Explanations may be easier to find than causes [Lipton]
Causal inferences are clearest when we can manipulate things [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / i. Explanations by mechanism
We want to know not just the cause, but how the cause operated [Lipton]
14. Science / D. Explanation / 2. Types of Explanation / l. Probabilistic explanations
To maximise probability, don't go beyond your data [Lipton]
14. Science / D. Explanation / 3. Best Explanation / a. Best explanation
Is Inference to the Best Explanation nothing more than inferring the likeliest cause? [Lipton]
Best Explanation as a guide to inference is preferable to best standard explanations [Lipton]
The 'likeliest' explanation is the best supported; the 'loveliest' gives the most understanding [Lipton]
IBE is inferring that the best potential explanation is the actual explanation [Lipton]
Finding the 'loveliest' potential explanation links truth to understanding [Lipton]
IBE is not passive treatment of data, but involves feedback between theory and data search [Lipton]
A contrasting difference is the cause if it offers the best explanation [Lipton]
We select possible explanations for explanatory reasons, as well as choosing among them [Lipton]
14. Science / D. Explanation / 3. Best Explanation / c. Against best explanation
Must we only have one explanation, and must all the data be made relevant? [Lipton]
Bayesians say best explanations build up an incoherent overall position [Lipton]
The best theory is boring: compare 'all planets move elliptically' with 'most of them do' [Lipton]
Best explanation can't be a guide to truth, because the truth must precede explanation [Lipton]
16. Persons / E. Rejecting the Self / 3. Narrative Self
I can only make decisions if I see myself as part of a story [MacIntyre]
18. Thought / B. Mechanics of Thought / 6. Artificial Thought / a. Artificial Intelligence
AI can't predict innovation, or consequences, or external relations, or external events [MacIntyre]
18. Thought / E. Abstraction / 7. Abstracta by Equivalence
An abstraction principle should not 'inflate', producing more abstractions than objects [Fine,K]
22. Metaethics / A. Ethics Foundations / 1. Nature of Ethics / c. Purpose of ethics
The good life for man is the life spent seeking the good life for man [MacIntyre]
22. Metaethics / A. Ethics Foundations / 1. Nature of Ethics / d. Ethical theory
We still have the appearance and language of morality, but we no longer understand it [MacIntyre]
Unlike expressions of personal preference, evaluative expressions do not depend on context [MacIntyre]
Moral judgements now are anachronisms from a theistic age [MacIntyre]
22. Metaethics / A. Ethics Foundations / 2. Source of Ethics / b. Rational ethics
The failure of Enlightenment attempts to justify morality will explain our own culture [MacIntyre]
22. Metaethics / A. Ethics Foundations / 2. Source of Ethics / c. Ethical intuitionism
Mention of 'intuition' in morality means something has gone wrong with the argument [MacIntyre]
22. Metaethics / A. Ethics Foundations / 2. Source of Ethics / e. Human nature
When 'man' is thought of individually, apart from all roles, it ceases to be a functional concept [MacIntyre]
22. Metaethics / A. Ethics Foundations / 2. Source of Ethics / h. Expressivism
In trying to explain the type of approval involved, emotivists are either silent, or viciously circular [MacIntyre]
The expression of feeling in a sentence is in its use, not in its meaning [MacIntyre]
Emotivism cannot explain the logical terms in moral discourse ('therefore', 'if..then') [MacIntyre]
Nowadays most people are emotivists, and it is embodied in our culture [MacIntyre]
23. Ethics / C. Virtue Theory / 1. Virtue Theory / a. Nature of virtue
Maybe we can only understand rules if we first understand the virtues [MacIntyre]
23. Ethics / C. Virtue Theory / 1. Virtue Theory / d. Virtue theory critique
Virtue is secondary to a role-figure, defined within a culture [MacIntyre, by Statman]
23. Ethics / C. Virtue Theory / 2. Elements of Virtue Theory / e. Character
Characters are the masks worn by moral philosophies [MacIntyre]
23. Ethics / C. Virtue Theory / 2. Elements of Virtue Theory / h. Right feelings
If morality just is emotion, there are no external criteria for judging emotions [MacIntyre]
23. Ethics / E. Utilitarianism / 1. Utilitarianism
Since Moore thinks the right action produces the most good, he is a utilitarian [MacIntyre]
24. Political Theory / A. Basis of a State / 3. Natural Values / c. Natural rights
There are no natural or human rights, and belief in them is nonsense [MacIntyre]
26. Natural Theory / C. Causation / 9. General Causation / c. Counterfactual causation
Counterfactual causation makes causes necessary but not sufficient [Lipton]
28. God / A. Divine Nature / 4. Divine Contradictions
If God is omniscient, he confronts no as yet unmade decisions, so decisions are impossible [MacIntyre]