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Mario Heard
Philosophical Essay Outline
I. Intro
The essay takes a different approach as it involves the
evaluation of the following philosophical Puzzle: “If a tree falls
in the forest and there's no one around to hear it, does it make a
sound?” (1) How is this philosophical puzzle an epistemological
problem? And (2) how would John Locke answer it? The aim of
the essay will be to explore how the questions create
epistemological issues, mainly focusing on the subjective
elements of personal experience. In this case, it is the sound of
the tree falling. The puzzle will help to create a discussion on
the human limit; that people claim to be have acquainted with
an aspect solely based on sensory experienced. Finally, John
Locke’s say the father of empiricism; will be instrumental to
create an explanation of the situation at hand and create a
logical explanation.
II. Theory of Empiricism
Explains John Locke’s Theory of empiricism.
What makes a claim of truth legitimate? This is the question
that the philosopher John Locke, tried to explain through the
theory of empiricism. In line with discussing what is considered
to be the central in the development of knowledge. Explained
with the simple concept that knowledge comes from experience.
III. The Philosophical Puzzle fitting in epistemology
Make a connection between epistemology with the philosophical
puzzle.
Form focusing of the theory of empiricism by John Locke one
aspect is clear, is that Knowledge comes from experience. In
this case, the puzzle looks at a tree falling in the forest and no
one is around to hear it. The tree falling is the action hearing
the fall is the experience. Therefore, since no one experience
the fall no one will have the knowledge of the tree falling. The
puzzle is fitting in John Locke’s Theory as no one will be there
to gain the sensory experience of hearing the tree to make the
sound. Maybe it fell and it landed on conclusion surface and did
not make sound or it fell on a hard ground and it made a sound.
The fact remains that no one can prove that.
IV. Weaknesses in Empiricism
Showing that knowledge is not only based on experience.
The tree fell and no one was there to experience the sound that
or experience a sound that was not made. At first one will
automatically and normally say that the tree made a sound,
mostly because of experience when something falls it usually
makes a sound; and if for the first time that does not happen
then that will be considered as new knowledge. Therefore, the
previous experience of stimuli and reaction; falling and making
sounds; gives us the knowledge that the tree made a sound
whether they were not there or not.
V. Conclusion
Empiricism is accurate to some extent, but it is not fault proof.
It might be accurate in various aspects in life; like feeling.
When you feel love or hatred or malice, any feeling that
someone gives you is accurate mainly because you need
experience to get this knowledge. But the physical experiences,
we utilize previous experience to assume outcomes which most
of the are correct, mainly because it is how the Science works;
every action has a reaction, despite being present or not.
VI. References
Dawes, G. W. (2019). Empiricism. A Companion to Atheism
and Philosophy, 97-110.
Gustafsson, S. (2017). Empiricism. The Wiley‐Blackwell
Encyclopedia of Social Theory, 1-2.
Jolley, N. (2018). Locke and Malebranche: Intelligibility and
Empiricism. Locke and Cartesian Philosophy, 205-218.
Locke, J. (2018). John Locke and Emergence
Empiricism. Learning Theories for Early Years Practice, 12.
Meyers, R. G. (2014). Understanding empiricism. Routledge.
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1.382504924772350.0684820706389862-
0.5282135846965830.0686168778646535-
0.2634492407902570.06875168509032080.1869807312870190.
06888649231598810.1578283027005710.0690212995416554-
1.678249781163240.06915610676732270.4847079483547540.0
69290913992990.2711074149142110.0694257212186573-
1.160485046601490.06956052844432461.27095625454710.069
69533566999190.01335693698821730.0698301428956592-
0.5319638385558650.0699649501213265-
0.2996313545815140.07009975734699380.7971501770929370.
07023456457266110.2997103851949410.07036937179832840.0
8802503769098580.0705041790239957-
0.0909562221514520.0706389862496631.53589860344150.070
77379347533030.6050012142019890.07090860070099761.3335
95061075140.0710434079266649-
0.523936441894210.07117821515233220.1068430803255140.0
7131302237799951.444003090179310.0714478296036668-
0.2983676239499540.0715826368293341-
0.1960347328700840.0717174440550013-
0.01570508012647290.0718522512806686-
0.5602144379087430.07198705850633590.5696675411104180.
07212186573200321.481720955107510.07225667295767050.42
48810830015930.07239148018333780.08417129092545140.072
5262874090051-
0.554298781918750.07266109463467240.8274977305185980.0
7279590186033970.1118146886271010.072930709086007-
0.9441519538358450.07306551631167430.3598448348007960.
0732003235373416-
0.2867647383187740.07333513076300890.305265686664090.0
7346993798867620.6702171243297680.07360474521434350.85
40188819784660.07373955244001080.8046375442573810.0738
743596656781-
0.1957486993671570.07400916689134541.581560339312340.0
7414397411701270.06900969214687460.074278781342681.054
771290954450.07441358856834731.273893018752910.0745483
9579401461.607171101085130.07468320301968190.285695883
4630650.07481801024534910.05731913234228160.0749528174
7101650.9013096002402190.07508762469668370.50485743907
55840.075222431922351-
0.118466087619310.0753572391480183-
0.6419782644953360.0754920463736856-
1.278086132922250.0756268535993529-
0.8664227158543630.0757616608250202-
1.098783827918980.0758964680506875-
0.2410468736657960.07603127527635481.500841098549410.0
761660825020221-
0.1423994381587540.07630088972768941.212685088189080.0
7643569695335670.5204943861589560.076570504179024-
0.6768428629325550.07670531140469130.1538523265164830.
0768401186303586-1.042669786603240.0769749258560259-
0.186128878551130.0771097330816932-
1.38106482924620.07724454030736051.269683335817250.077
37934753302782.330756921340010.0775141547586951-
1.616864723937430.0776489619843624-
2.11629521760910.07778376921002970.08985688825181080.0
779185764356970.3130451760326150.0780533836613642-
1.068776744854020.07818819088703161.501770025295120.07
832299811269880.6520259743155820.07845780533836611.361
636218583590.07859261256403340.3560144381904360.078727
41978970070.5286370633285020.0788622270153681.70031118
5967270.07899703424103531.172825549889860.079131841466
70262.10498402281720.0792666486923699-
0.48595458804010.07940145591803721.881638872483540.079
53626314370451.898874236693190.0796710703693718-
2.749159580514240.07980587759503911.356074489068530.07
99406848207064-
0.6551955499307750.08007549204637370.6774469179091850.
080210299272041-
0.04870782768872150.08034510649770830.4012096579550280
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2.418693581077180.08061472094904290.02711694176833820.
0807495281747102-
1.352224998375620.08088433540037751.191980691607430.08
10191426260448-
1.556545703681730.08115394985171210.7285696501844530.0
8128875707737930.5431451644170810.0814235643030466-
0.2036047707242350.08155837152871390.9721607782291080.
0816931787543812-
0.9726124670523550.08182798598004851.214093783266650.0
819627932057158-
1.509878219984250.08209760043138310.7098717967005260.0
8223240765705041.390609502127890.08236721488271770.748
8603669807340.082502022108385-
0.7249914692089180.0826368293340523-
0.2287206214622210.08277163655971960.9574376104413920.
08290644378538691.574298868252030.0830412510110542-
0.007663122801361170.08317605823672150.944294793464959
0.08331086546238880.142715639655610.08344567268805611.
141159854798340.08358047991372341.87291533580920.08371
528713939071.169695941678470.0838500943650580.57256273
59387930.08398490159072530.8612796132142770.0841197088
1639262.484522783137210.0842545160420599-
0.5905963179072330.08438932326772711.45146912240430.08
452413049339442.434184780025420.0846589377190617-
1.346401285489040.084793744944729-
0.223019311295510.0849285521703963-
1.952337886482060.0850633593960636-
0.290659693419270.08519816662173092.424870652397110.08
53329738473982-
0.2315412286036830.08546778107306550.8664733218158790.
0856025882987328-1.090274590127330.0857373955244001-
0.3698701263483280.08587220275006741.368219197820410.0
8600700997573470.2548409226217580.086141817201402-
1.141572395540520.08627662442706930.7167993548497880.0
864114316527366-
0.1564407472614810.08654623887840390.13937832357260.08
668104610407120.4833272570368580.08681585332973850.209
3605618422740.08695066055540581.867892437235650.087085
46778107311.578775234524030.08722027500674040.01366645
708321080.08735508223240771.967841644986590.0874898894
580751.20217161934620.08762469668374220.08335211362779
180.08775950390940963.181799391315160.0878943111350768
0.4939777951135180.0880291183607441-
1.551934224790160.08816392558641140.3487885036624580.0
882987328120787-1.448213273305110.088433540037746-
1.918844710413170.0885683472634133-
1.638979535992860.08870315448908060.8759376684193650.0
8883796171474791.84262206497620.0889727689404152-
2.033527024416750.0891075761660825-
0.07678115219805120.0892423833917498-
2.10696571685210.0893771906174171-
0.4063701542932040.08951199784308440.4466333938173530.
0896468050687517-1.112959608539050.089781612294419-
0.8670246268218940.08991641952008630.1892036894958880.
09005122674575362.28208861766170.09018603397142090.365
7962593028990.0903208411970882-
0.3939537811764140.09045564842275551.340301742610480.0
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3741975487410.0908600700997573-
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11296845510919-0.06567859039056740.0912644917767592-
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153410622809382.309288651459160.0916689134537611-
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0.9792421373806470.09288217848476680.5681237942356820.
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09382582906443790.3175627034091810.0939606362901051-
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0.0265785644419350.0942302507414397-
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0.2274980186739990.0944998651927743-
0.5031460377841860.09463467241844160.5809235501856080.
0947694796441089-
0.8931201533314330.09490428686977621.077030994928750.0
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35157724454-
0.001155929393403090.09557832299811270.851762543214284
0.095713130223780.02866639579657450.09584793744944731.
072599168256950.09598274467511461.153560706360920.0961
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1.271896854336740.09638716635211650.9416252610858970.0
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0.7586501071596560.09760043138312210.8188664361870290.
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161768670801-
0.09769282110415690.1002965758964680.1956438403025410.
100431383122135-
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0070099757347-1.47850642368870.100835804799137-
2.337193939078780.100970612024805-
1.28040960746680.101105419250472-
1.46474296504530.1012402264761390.3347370382453720.101
375033701806-1.45308617270210.101509840927474-
0.7516373872417030.101644648153141-
1.109062992014780.1017794553788080.5669896346799760.10
1914262604476-0.1400939220426090.102049069830143-
1.095109298811710.10218387705581-
1.486482937077750.102318684281477-
0.8715398225671870.1024534915071450.6702694996515350.1
025882987328120.4465756336464730.1027231059584790.0372
3701220203030.1028579131841470.2478150608889220.102992
720409814-1.77926335378440.103127527635481-
0.01825690532481240.1032623348611491.04311908546670.10
3397142086816-1.03138715769492…
MAE
101B
Homework
3:
MATLAB
Spring
2020
(Due
April
27,
2020)
In
the
Homework
folder
there
are
2
files,
data
1
and
data
2,
that
consists
of
signals
with
echoes
(“matlab”).
Upload
the
files
in
MATLAB
(readmatrix())
and
utilize
the
xcorr
command
(as
shown
in
the
tutorial)
to
find
the
time
lag
between
each
echo
in
data
1
and
data
2.
Use
Fs
(sampling
frequency)
of
7418
(Fs=7418).
Upload
your
*.m
script
file
onto
the
dropbox.
Place
your
answer
(the
time
lag
amount
for
each
data)
as
a
comment
at
the
end
of
the
script
file
Mario HeardPhilosophical Essay OutlineI. IntroThe essay ta.docx

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