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epistemology
a special branch of philosophy that deals with evaluating the claims of knowledge
Realism
knowledge comes from reality
reality is made up of basic facts, which we capture in observation statements —> these statements, linked logically, create theories (mental blueprints of the world) —> language mirrors reality
idealism
knowledge comes from the mind (opposite of realism) —> truth = coherence, so for something to be true it needs to fit within the system of beliefs
relativism
there is not one single truth, if knowledge comes from the mind it is subjective and differentiates between groups and cultures (social constructs)
convergent realism
if theories keep working and expanding maybe they’re getting closer to the truth (way fo defending realism)
Laudan (critic of realism)
even false theories can be useful, just because a theory works doesn’t mean it is true (describes reality)
pragmatism
knowledge is functional and interactive, truth is what works in real life —> middle ground between realism & idealism
—> mind and world work together in shaping our knowledge & it is not objective nor personal
Wilfrid Sellar’s 2 images
the manifest image
the scientific image
—> these 2 are in conflict with each other
the manifest image
the common-sense view of the world (feelings, colors, objects etc) —> a table is a useful often wooden object
the scientific image
the world as science describes it (atoms, molecules, forces etc.) —> a table is atoms.
4 ways of dealing with the 2 images conflict
they’re the same thing (very wrong)
the manifest image is real (science just simplifies it)
the scientific image is real (the manifest image is just an illusion)
—> fourth was added by Sellars, event though they agreed with the third one:
both images are real (we should see them as working together instead of as enemies)
characteristics of scientific method (8)
systematicity
well-defined methods
reduction
objectivity
clarity
revisability
classification = crucial
explanation = central
systematicity (characteristic of the scientific method)
theories must be broad, coherent and applicable to multiple cases
Well-defined methods (characteristic of scientific method)
methods that have clear rules on what we can view as valid knowledge
reduction (characteristic of scientific method)
reducing difficult phenomena into basic principles, to make it easier to explain
objectivity (characteristic of scientific method)
knowledge must be observable, repeatable and not dependent on one person’s point of view
clarity (characteristic of scientific method)
scientific language must be clear and public
revisability (characteristic of scientific method)
scientific knowledge can always change in light of new evidence
classification = crucial (characteristic of scientific method)
organizing of knowledge to make science work (classifying a whale as a mammal, based on its biological factors) —> not just putting a label on things, but with actual purpose
explanation = central (characteristic of scientific method)
science often uses unobservable entities to explain what we can observe (atoms, the unconscious etc) even if this departs from our everyday understanding
knowledge
helps us understand the world, so we can act effectively in it
science
a more systematic, controlled version of knowledge (goes deeper into why things happen, not just what happens)
deductive argument
and argument in which the conclusion will be definitely supported (men and mice example) —> deductive reasoning guarantees truth, as long as the structure is valid and the premises are true
premises
statements
validity
the structure of form of the argument
truth
whether the content of the premises actually reflect reality
Euclid’s geometry
a logical system built from a few self-evident truths, from which all other truths were deducted
inductive argument
an argument that is not logically conclusive —> the premises support the conclusion but do not guarantee it
inductive generalization
you move from a small sample to a general rule
strength of an inductive argument depends on 3 things:
size and quality of the evidence
relevance of the data
consistency of the pattern
The raven paradox
all ravens are black, so all non-black things are not ravens (technically correct but a strange way of deducting it)
abduction
a kind of reasoning in which an explanatory hypothesis is derived from a set of facts and has the following structure —> If S is the case then R (the streets are wet, it may have rained)
logic of discovery
the testing and finding rules and criteria for hypotheses
2 aspects of science
context of discovery (How is the scientific idea formed?)
context of justification (Why should the theory be accepted?)
Francis Bacon’s empiricism
gathering pure observations to uncover scientific laws ( but science is not just observations but also imaginative and theoretical) —> empirist are against using unobservable entities (personality, energy etc) to explain something, science should be based on observable facts
theory-leadenness of observations
observations are always partly determined by one’s theoretical assumption
theory
a set of statements that organizes, predicts and explains observations
law
an empirical generalization (all laws are generalizations but not al generalizations are laws)
theoretical law
laws with unobservables
empirical laws/generalizations
laws in which observables occur
model
a simplified representation of a theory which helps us visualize, understand and explain something. (diagrams, metaphors, computer stimulations etc)
David Hume’s causality
the experience of two events happening together repeatedly
causal laws
laws that connect events in a way that explains why one event leads to another
Nagel’s 4 conditions for causal laws
invariable relation: the cause must be both a necessary and sufficient condition for the effect
cause and effect must be in the same domain (connected)
the cause must precede the effect and be temporally close to it
asymmetry: the cause leads to the effect, not the other way around
interventionism
a cause is seen as something that can be experimentally intervened upon to see how it affects and outcome
De Groot’s empirical cycle
observation
induction
deduction
testing
evaluation
—> the cycle is continuous, theories evolve in response to new data
observation
empirical data is collected and organized
induction
an hypotheses is formulated
deduction
deriving predictions from the hypothesis
testing
predictions are tested against new data
evaluation
the test results are analyzed to refine or revise the original theory
Robert K. Merton’s CUDOS
Communalism
Universalism
Disinterestedness
Organized Skepticism
communalism
scientific knowledge should be shared (communal)
universalism
scientific claims should be evaluated based on universal, objective criteria (to not be judged on race, nationality etc.)
Disinterestedness
scientists should act objectively and not for personal gain
Organized Skepticism
all scientific ideas should be subjected to critical evaluation before being accepted