1/79
Looks like no tags are added yet.
words are
symbols
names
stand for objects (subject)
Verbs
stand for some sort of process in time or a descriptor (predicate)
both _____ are needed to form simple statements
names and verbs
sentences that cannot be true
questions, expressive phrases, commands
statements
basic kinds of sentences that can be true or false
syllogisms
arguments with two presmises and a conclusion
barbara
all A’s are B’s
all X’s are A’s
therefore all X’s are B’s
celarent
No A’s are B’s
All X’s are A’s
Therefore no X’s are B’s
Ferio
No A’s are B’s
Some X’s are A’s
Therefore some X’s are not B’s
a syllogism is valid if
its logical structure guarantees a conclusion follows from the premises
a syllogism is sound if
it is valid and all of its premises are actually true
contradictions
explicit denial of each other (if one true other is false)
contraries
cant both be true but can both be false
subcontraries
cant both be flase but can both be true
subalterns
another implied by the other but not vice versa
left top corner of square of opposition
universal affirmative
(all X’s are Y’s)
right top corner of square of opposition
universal negative
(No X’s are Y’s)
left bottom corner of square of opposition
particular affirmative
(Some X’s are Y’s)
right bottom corner of square of opposition
particular negative
(Some X’s are not Y’s)
Corner to corner in square of opposition
contradictions
top to top in square of opposition
contraries
bottom to bottom in square of opposition
subcontraries
top to bottom in square of opposition
subalterns
first limitation of natural language
ambiguity
ambiguity
word can take on multiple meanings (Bank, Horse)
second limitation of natural language
gapped reasoning
gapped reasoning
no clearly specified way to reason in natural language
cant see reasoning steps
if we did say everything it would be bad
predicates in modern logical language
capital letters out front
subjects in modern logical language
small letter in parentheses
how to say bella is green in modern logical language
G(b)
logical constant and
^
logical constant or
v
logical constant if…then
—>
logical constant not
~
how to say if lover is a frog she is green in modern logical language
F(l) —> G(l)
universal quantifier in modern logical language
upside down “A”
existential quantifier in modern logical notation
backwards “E”
how to say something is green in modern logical notation
(backwards E) x G(x)
how to say all frogs are green in modern logical notation
(upside down A) x (F(x) —> G(x))
Turing test
Human judge interrogates a human and machine (Blindly) and if the machine can convice the interrogator that it is a human then the machine has passed the turing test
advantages of turing test
definite experiment that could be carried out in practice
isolates intellectual aspects of a person
seems we may be able to test all intellectual abilities in this way
criticisms of turing test
test stacked against machine (we would fail to act like a machine)
a machine could fail test and still be thinking and vice versa (different type of thinking?)
digital computer
machine intended to carry out what can be done by a human computer
human computer
fixed rule book and unlimited supply of paper
programming according to turing
put appropriate instruction into machine so it will do a specific thing
theological objection to turing
God didnt give machines souls
turings response to the theological objection
whos to say God wont give machines souls
could be gods will that humans created machines
heads in sands objection to turing
lets not think about this
turings response to heads in sand objection
everyone has this worry
can refute this refusal
mathematical objection to turing
some statements cannot be proven true
for any digital computer there will always be some unanswerable questions
turings response to the mathematical objection
how do we know we can answer everything
we are wrong all the time
consciousness objection to turing
machines cannot compose sonnets or concertos based off of emotions
machines cannot feel or be concious
turings response to the consciousness objection
in order to really know what the machine thinks you would have to be the machine itself
Chinese room thought experiment
person is in a closed room where papers can be passed in and out
person not Chinese but they can successfully identify different characters
an enormous books of rules is inside room, for any possible combo of characters the rules state what characters should be written and passed out
so someone can imitate being able to read and respond to chinese characters
searles argument
person is made into human computer (in turings sense)
example of cognition
no actual understanding is happening only seems like understanding
same fro computers with computer programs
systems objection to searle
individual does not understand story but the whole system of the room understands what is happening
searles response to the systems objection
even if someone took on every part of the system by memorizing the characters he would still not understand chinese
the robot objection to searle
what if we put a robot that can percieve understand drink and see and would be controlled by a computer brain, would the robot have genuine undertsanding
searles response to the robot obejction
even with perception from robot and being able to control robot’s motor apparatus, still no understanding is added to the system
the brain simulator objection to searle
program simulates the actual sequence of neurons firing synapses when a native chinese speaker understands stories, machine takes in chinese, fires synapses, and gives outputs in chinese
searles reply to the brain simulator objection
not sufficient to produce understanding
imagine water running through pipes to imitate brain and chinese answers produced, person and the water pipe system doesn’t understand chinese
for native laguage speakers words are ____ (syntax vs semantics)
intentional (meaning behind words)
according to searle intentionality is a ______
biological phenomenon
argument in favor of AI being able to think
LLMs based off of artificial neural networks
now machines have provided insight into how the brain works
neocortex takes in senses to make predictions and capture regularities to form a compressed model of world (AI does same thing —> info put in vs download size)
arguments against AI being able to think
stochastic parrot (AI very good at predicting the next word)
LLM’s less efficient compared to human infants (need whole data centers)
Once an AI has been trained it is set and doesn’t continually change like a human (tell a model something and it jots it down instead of rewiring neural networks)
what is knowledge Decartes believes in undoubtable?
the self exists and is a thinking thing, as soon as you think you exist you do, because we can doubt we exist, cogito ergo sum
What is knowledge Decartes believes is doubtable
empircal and non-empirical knowledge (demon and dreams)
accidental properties according to decartes
properties that can be observed with the senses
essential rpoperties according to decartes
everything that can be grasped with the mind alone
when something changes we ____
invent an underlying thing that remains the same
self according to Hume
a bundle of different perceptions which succeed each other rapidly and are connected by causation
theseus’s ship
every part of the ship is changed, is it still the same ship?
hume compares people to
nations
teletransporter scenario relates to what philosopher
Parfit
Physical criterion of identity
X is the same as Y if enough of Y’s brain continues to exist and becomes X’s brain and this physical continuity has not taken a branching form
psychological criterion of identity
There is psychological continuity if and only if there are overlapping chains of strong connectedness.
X today is one and the same person as Y at some past time if and only if X is psychologically continuous with Y, this continuity has the right kind of cause, and it has not taken a ‘branching’ form.”
Reductionist views on personal identity
everything there is to say about something can be explained in terms of something else with no remainder
Non reductive account of personal identity
it is not possible to explain identity of a person in terms of something else always something about self that cannot be explained
Decartes vs Hume
reductionist vs non-reductionist