Combining Texts

All the ideas for 'Mahaprajnaparamitashastra', 'Truth is not the Primary Epistemic Goal' and 'Coherence: The Price is Right'

unexpand these ideas     |    start again     |     specify just one area for these texts


12 ideas

2. Reason / A. Nature of Reason / 6. Coherence
Coherence problems have positive and negative restraints; solutions maximise constraint satisfaction [Thagard]
     Full Idea: A coherence problem is a set of elements connected by positive and negative restraints, and a solution consists of partitioning the elements into two sets (accepted and rejected) in a way that maximises satisfaction of the constraints.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.42)
     A reaction: I'm enthusiastic about this, as it begins to clarify the central activity of epistemology, which is the quest for best explanations.
Coherence is explanatory, deductive, conceptual, analogical, perceptual, and deliberative [Thagard]
     Full Idea: I propose that there are six main kinds of coherence: explanatory, deductive, conceptual, analogical, perceptual, and deliberative. ...Epistemic coherence is a combination of the first five kinds, and ethics adds the sixth.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.43)
     A reaction: Wonderful. Someone is getting to grips with the concept of coherence, instead of just whingeing about how vague it is.
Explanatory coherence needs symmetry,explanation,analogy,data priority, contradiction,competition,acceptance [Thagard]
     Full Idea: Informally, a theory of explanatory coherence has the principles of symmetry, explanation, analogy, data priority, contradiction, competition and acceptance.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.44)
     A reaction: [Thagard give a concise summary of his theory here] Again Thagard makes a wonderful contribution in an area where most thinkers are pessimistic about making any progress. His principles are very plausible.
3. Truth / A. Truth Problems / 6. Verisimilitude
Verisimilitude comes from including more phenomena, and revealing what underlies [Thagard]
     Full Idea: A scientific theory is progressively approximating the truth if it increases its explanatory coherence by broadening to more phenomena and deepening by investigating layers of mechanisms.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.46)
11. Knowledge Aims / A. Knowledge / 1. Knowledge
Epistemology does not just concern knowledge; all aspects of cognitive activity are involved [Kvanvig]
     Full Idea: Epistemology is not just knowledge. There is enquiring, reasoning, changes of view, beliefs, assumptions, presuppositions, hypotheses, true beliefs, making sense, adequacy, understanding, wisdom, responsible enquiry, and so on.
     From: Jonathan Kvanvig (Truth is not the Primary Epistemic Goal [2005], 'What')
     A reaction: [abridged] Stop! I give in. His topic is whether truth is central to epistemology. Rivals seem to be knowledge-first, belief-first, and justification-first. I'm inclined to take justification as the central issue. Does it matter?
11. Knowledge Aims / A. Knowledge / 5. Aiming at Truth
Making sense of things, or finding a good theory, are non-truth-related cognitive successes [Kvanvig]
     Full Idea: There are cognitive successes that are not obviously truth related, such as the concepts of making sense of the course of experience, and having found an empirically adequate theory.
     From: Jonathan Kvanvig (Truth is not the Primary Epistemic Goal [2005], 'Epistemic')
     A reaction: He is claiming that truth is not the main aim of epistemology. He quotes Marian David for the rival view. Personally I doubt whether the concepts of 'making sense' or 'empirical adequacy' can be explicated without mentioning truth.
13. Knowledge Criteria / A. Justification Problems / 1. Justification / c. Defeasibility
The 'defeasibility' approach says true justified belief is knowledge if no undermining facts could be known [Kvanvig]
     Full Idea: The 'defeasibility' approach says that having knowledge requires, in addition to justified true belief, there being no true information which, if learned, would result in the person in question no longer being justified in believing the claim.
     From: Jonathan Kvanvig (Truth is not the Primary Epistemic Goal [2005], 'Epistemic')
     A reaction: I take this to be an externalist view, since it depends on information of which the cognizer may be unaware. A defeater may yet have an undiscovered counter-defeater. The only real defeater is the falsehood of the proposition.
13. Knowledge Criteria / C. External Justification / 3. Reliabilism / b. Anti-reliabilism
Reliabilism cannot assess the justification for propositions we don't believe [Kvanvig]
     Full Idea: The most serious problem for reliabilism is that it cannot explain adequately the concept of propositional justification, the kind of justification one might have for a proposition one does not believe, or which one disbelieves.
     From: Jonathan Kvanvig (Truth is not the Primary Epistemic Goal [2005], Notes 2)
     A reaction: I don't understand this (though I pass it on anyway). Why can't the reliabilist just offer a critique of the reliability of the justification available for the dubious proposition?
14. Science / B. Scientific Theories / 1. Scientific Theory
Neither a priori rationalism nor sense data empiricism account for scientific knowledge [Thagard]
     Full Idea: Both rationalists (who start with a priori truths and make deductions) and empiricists (starting with indubitable sense data and what follows) would guarantee truth, but neither even begins to account for scientific knowledge.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.46)
     A reaction: Thagard's answer, and mine, is inference to the best explanation, but goes beyond both the a priori truths and the perceptions.
14. Science / C. Induction / 6. Bayes's Theorem
Bayesian inference is forced to rely on approximations [Thagard]
     Full Idea: It is well known that the general problem with Bayesian inference is that it is computationally intractable, so the algorithms used for computing posterior probabilities have to be approximations.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.45)
     A reaction: Thagard makes this sound devastating, but then concedes that all theories have to rely on approximations, so I haven't quite grasped this idea. He gives references.
14. Science / D. Explanation / 3. Best Explanation / a. Best explanation
The best theory has the highest subjective (Bayesian) probability? [Thagard]
     Full Idea: On the Bayesian view, the best theory is the one with the highest subjective probability, given the evidence as calculated by Bayes's theorem.
     From: Paul Thagard (Coherence: The Price is Right [2012], p.45)
23. Ethics / C. Virtue Theory / 3. Virtues / a. Virtues
The six perfections are giving, morality, patience, vigour, meditation, and wisdom [Nagarjuna]
     Full Idea: The six perfections are of giving, morality, patience, vigour, meditation, and wisdom.
     From: Nagarjuna (Mahaprajnaparamitashastra [c.120], 88)
     A reaction: What is 'morality', if giving is not part of it? I like patience and vigour being two of the virtues, which immediately implies an Aristotelian mean (which is always what is 'appropriate').