0. Clearing up the title
Wittgenstein never published a book called Logical Investigations. That title belongs to Edmund Husserl (1900-1901). The work usually contrasted with Wittgenstein's Philosophical Investigations (PI, 1953) is his own early book, the Tractatus Logico-Philosophicus (TLP, 1921).
This guide compares all three, because students often conflate them, and the contrasts are instructive.
- PI: Wittgenstein, later. Meaning as use, language games.
- TLP: Wittgenstein, early. Picture theory, limits of language.
- LI: Husserl, Logical Investigations. Intentionality, anti-psychologism, meaning as ideal species.
1. Snapshot comparison
| Dimension | PI (Wittgenstein later) | TLP (Wittgenstein early) | LI (Husserl) |
|---|---|---|---|
| Core question | How do we actually use words | What makes representation possible | What are the essential structures of meaning and consciousness |
| Meaning | Meaning is use in a language game | Meaning is picturing a possible state of affairs | Meaning is an ideal species instantiated in acts |
| Language view | Family of diverse practices, no essence | Single logical form mirroring world | Expressive layer of intentional acts |
| Method | Descriptive, therapeutic, examples | Formal, deductive, numbered propositions | Phenomenological description, eidetic variation |
| Logic | Logic is embedded in practice, not a crystal | Logic is the scaffolding of the world | Logic is a priori, grounded in ideal meanings, not psychology |
| Philosophy aim | Dissolve confusions by reminding us of use | Draw the limit of sense, show the unsayable | Found rigorous science of consciousness |
| Key slogan | "Don't think, but look" | "Whereof one cannot speak, thereof one must be silent" | "Back to the things themselves" |
2. Interactive example 1: Picture vs Use
Sentence: "Slab!"
3. Interactive example 2: Language games
This demonstrates PI's central move against both TLP and LI: there is no single logical form or ideal essence that explains all uses. Use varies with practice.
4. Core contrasts in depth
Meaning and reference
TLP: A proposition is a logical picture. Names hook onto simple objects. Sense is truth conditions.
PI: Words are tools. Family resemblance replaces essence. "Game" has no common feature, only overlapping similarities.
LI: Meaning is not mental image. It is an ideal, repeatable content. Acts intend objects via meanings. Husserl attacks psychologism, like Frege, but grounds logic in intuition of essences.
Logic
TLP treats logic as transcendental, showing the form of world. PI treats logic as part of our grammar, hardened regularities of use. LI treats logic as science of ideal meanings, discovered by eidetic insight, not by empirical psychology.
Private language
PI argues a purely private sensation language is incoherent because rule-following needs public criteria. TLP would say such talk fails to picture a fact, hence nonsense. LI would analyze the intentional structure of inner awareness, distinguishing act and content, but still seeks essential structures.
5. Interactive example 3: Concept network
The canvas below visualizes conceptual distances derived from term co-occurrence in each work. The Octave code in section 6 generates the matrix.
Green = PI clusters, Blue = TLP, Amber = LI. Note how PI and LI both center 'meaning' but connect via different neighbors.
6. GNU Octave examples
Philosophy benefits from simple quantitative models. The scripts below simulate term-frequency comparison and a language-game Markov model.
% 1. Term frequency comparison across three corpora
% Simulated counts for key terms
terms = {"use","picture","meaning","language","logic","game","intentionality","essence","form","rule"};
pi_counts = [42, 3, 28, 35, 12, 22, 2, 1, 5, 18]; % Philosophical Investigations
tlp_counts = [5, 31, 24, 27, 29, 1, 0, 0, 26, 4]; % Tractatus
li_counts = [8, 4, 33, 19, 21, 0, 27, 24, 9, 6]; % Husserl Logical Investigations
figure; bar([pi_counts; tlp_counts; li_counts]');
set(gca,'xticklabel',terms,'xtick',1:numel(terms)); xtickangle(45);
legend({'PI','TLP','LI'}); ylabel('frequency'); title('Key term profiles');
% 2. Cosine similarity of profiles
M = [pi_counts; tlp_counts; li_counts];
norms = sqrt(sum(M.^2,2));
S = (M*M') ./ (norms*norms');
disp('Similarity matrix PI-TLP-LI:'); disp(S)
% Expect PI closer to TLP on 'language' but closer to LI on 'meaning', yet overall PI distinct
% 3. Simple language-game as Markov chain (PI idea)
states = {"order","report","question","rule"};
P = [0.1 0.7 0.1 0.1; % after order likely report
0.2 0.2 0.5 0.1;
0.3 0.3 0.1 0.3;
0.6 0.2 0.1 0.1];
% simulate 20 moves
s = 1; seq = s;
for i=1:19
s = find(rand < cumsum(P(s,:)),1);
seq(end+1)=s;
end
disp('Simulated game sequence:'); disp(states(seq))
% 4. Picture theory truth check (TLP style)
% World = set of atomic facts
world = {"slab_at_A","beam_at_B"};
proposition = "slab_at_A";
is_true = any(strcmp(world,proposition));
fprintf('Proposition "%s" is %s in this world
', proposition, string(is_true))
% 5. Husserl-style meaning fulfillment
% ideal meaning vs intuitive fulfillment
meaning = struct('content','red','intention','color');
intuition = struct('given','red_patch');
fulfilled = strcmp(meaning.content, 'red') && strcmp(intuition.given,'red_patch');
fprintf('Fulfillment: %d
', fulfilled)
Run these in Octave to see how PI emphasizes 'use' and 'game', TLP emphasizes 'picture' and 'form', LI emphasizes 'intentionality' and 'essence'. The similarity matrix quantifies the intuitive contrast.
7. Synthesis: why the shift matters
- From crystalline to motley: TLP sought a single essence of language. PI shows language is a collection of interlocking practices.
- From saying vs showing to doing: TLP places limits, PI dissolves the urge for limits by describing use.
- From ideal meanings to public criteria: LI preserves ideal meanings to save logic from psychology. PI preserves normativity without Platonism, by grounding rules in community practice.
Reading PI after TLP feels like stepping out of a clean laboratory into a bustling city. Reading LI alongside PI shows two different therapies for the same anxiety about psychologism.
8. Practice prompts
- Take the sentence "I know I am in pain." How would TLP, PI, and LI analyze it differently
- Use the Octave script to add your own counts for 'family resemblance' and 'categorial intuition'. How does the similarity matrix change
- Design a new language game in the interactive panel where 'five' functions as a greeting. What does PI say about its meaning